Modeling cognitive load effects in an interrupted learning task: An ACT-R approach

Cognitive Workload, Task Switching Comments Off

Wirzberger, M., Rey, G. D., & Krems, J. F. (2017). Modeling cognitive load effects in an interrupted learning task: An ACT-R approach. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. J. Davelaar (Eds.), Proceedings of the 39th Annual Meeting of the Cognitive Science Society (pp. 3540-3545). Austin, TX: Cognitive Science Society.

Examining load-inducing factors in instructional design: An ACT-R approach

Cognitive Workload, Instructional Materials Comments Off

Wirzberger, M., & Rey, G. D. (2016). Examining load-inducing factors in instructional design: An ACT-R approach. In D. Reitter, & F. E. Ritter (Eds.). Proceedings of the 14th International Conference on Cognitive Modeling (ICCM 2016) (pp. 223-224). University Park, PA: Penn State.

Modeling and predicting mobile phone touchscreen transcription typing using an integrated cognitive architecture

Graphical User Interfaces, User Modeling Comments Off

Cao, S., Ho, A., & He, J. (2018). Modeling and predicting mobile phone touchscreen transcription typing using an integrated cognitive architecture. International Journal of Human-Computer Interaction, 34(6), 544-556.

Modeling valuation and core affect in a cognitive architecture: The impact of valence and arousal on memory and decision-making

Architecture Comments Off

Juvina, I., Larue, O., & Hough, A. (2018). Modeling valuation and core affect in a cognitive architecture: The impact of arousal and valence on memory and decision-making. Cognitive Systems Research 48: 4-24.

http://dx.doi.org/10.1016/j.cogsys.2017.06.002

Predicting temporal errors in complex task environments: A computational and experimental approach

Time Perception Comments Off

Russwinkel, N., Urbas, L. and Thüring, M. (2011). Predicting temporal errors in complex task environments: A computational and experimental approach. Cognitive Systems Research, 12(3-4), 336-354.

Architectural process models of decision making: Towards a model database

Choice and Strategy Selection Comments Off

Dimov, C.M., Marewski, J. N., & Schooler, L. J. (2017). Architectural process models of decision making: Towards a model database. In G. Gunzelmann, A. Howes, T. Tenbrink, & E. J. Davelaar (Eds.), Proceedings of the 39th Annual Conference of the Cognitive Science Society (pp. 1931-1936). Austin, TX: Cognitive Science Society.

How to implement HyGene into ACT-R

Reasoning Comments Off

Dimov, C. M. (2017). How to implement HyGene into ACT-R. Journal of Cognitive Psychology, 1-14.

Do People Order Cues by Retrieval Fluency when Making Probabilistic Inferences?

Choice and Strategy Selection Comments Off

Dimov, C. M., Link, D. (2017). Do People Order Cues by Retrieval Fluency when Making Probabilistic Inferences? Journal of Behavioral Decision Making, 30, 843–854.

A step-by-step tutorial on using the cognitive architecture ACT-R in combination with fMRI data

fMRI Comments Off

Borst, J.P. & Anderson, J.R. (2017). A Step-By-Step Tutorial on using the Cognitive Architecture ACT-R in combination with fMRI Data. Journal of Mathematical Psychology 76, pp. 94-103.

Tracking cognitive processing stages with MEG: A spatio-temporal model of associative recognition in the brain

Neuropsychology Comments Off

Borst, J.P., Ghuman, A.S., & Anderson, J.R. (2016). Tracking Cognitive Processing Stages with MEG: A Spatio-Temporal Model of Associative Recognition in the Brain. NeuroImage 141, pp. 416-430.

Inter-Subject Alignment of MEG Datasets in a Common Representational Space

Neuropsychology Comments Off

Zhang, Q., Borst, J.P., Kass, R.E., & Anderson, J.R. (2017). Inter-Subject Alignment of MEG Datasets in a Common Representational Space. Human Brain Mapping 38(9), 4287-4301.

Modelling workload in cognitive and concurrent tasks with time stress using an integrated cognitive architecture

Cognitive Workload Comments Off

Cao, S., & Liu, Y. (2015). Modelling workload in cognitive and concurrent tasks with time stress using an integrated cognitive architecture. International Journal of Human Factors Modelling and Simulation, 5(2), 113–135.

https://doi.org/10.1504/IJHFMS.2015.075360

Queueing network-adaptive control of thought rational (QN-ACTR): an integrated cognitive architecture for modelling complex cognitive and multi-task performance

Architecture Comments Off

Cao, S., & Liu, Y. (2013). Queueing network- adaptive control of thought rational (QN-ACTR): An integrated cognitive architecture for modelling complex cognitive and multi-task performance. International Journal of Human Factors Modelling and Simulation, 4(1), 63–86.

A cognitive approach to word sense disambiguation

Lexical and General Language Processing Comments Off

Dutta S., Basu A. (2012) A Cognitive Approach to Word Sense Disambiguation. In: Gelbukh A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2012. Lecture Notes in Computer Science, vol 7181. Springer, Berlin, Heidelberg

Change-point detection of cognitive states across multiple trials in functional neuroimaging

fMRI Comments Off

Koerner, F. S., Anderson, J. R., Fincham, J. M., & Kass, R. E. (2017). Change-point detection of cognitive states across multiple trials in functional neuroimaging. Statistics in Medicine, 36(4), 618-642.

Relationship of P3b single-trial latencies and response times in one, two, and three-stimulus oddball tasks

Neuropsychology Comments Off

Walsh, M. M., Gunzelmann, G., & Anderson, J. R. (2017). Relationship of P3b single-trial latencies and response times in one, two, and three-stimulus oddball tasks. Biological Psychology, 123, 47-61.

When math operations have visuospatial meanings versus purely symbolic definitions: Which solving stages and brain regions are affected?

fMRI, Mathematical Problem Solving Comments Off

Pyke, A. A., Fincham, J. M., & Anderson, J. R. (2017). When math operations have visuospatial meanings versus purely symbolic definitions: Which solving stages and brain regions are affected?. NeuroImage.

ACT-Droid: ACT-R interacting with Android applications

Tools, User Modeling Comments Off

Dörr, L.-M., Russwinkel, N. and Prezenski, S. (2016). ACT-Droid: ACT-R interacting with Android applications. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling. University Park, PA: Penn State.

Towards a General Model of Repeated App Usage

Category Learning, Information Search, List Memory, User Modeling Comments Off

Prezenski, S. and Russwinkel, N. (2016). Towards a general model of repeated app usage. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling. University Park, PA: Penn State.

Five-year-olds’ systematic errors in second-order false belief tasks are due to first-order theory of mind strategy selection: A computational modeling study

Cognitive Development, Reasoning, Reinforcement Learning Comments Off

Arslan, B., Taatgen, N., & Verbrugge, R. (2017). Five-year-olds’ systematic errors in second-order false belief tasks are due to first-order theory of mind strategy selection: A computational modeling study. Frontiers in Psychology, 8:275.

Individual differences in the Simon effect are underpinned by differences in the competitive dynamics in the basal ganglia: An experimental verification and a computational model

Attention, Interference, Reinforcement Learning Comments Off

Stocco, A. Murray, N. L., Yamasaki, B. L., Renno, T., Nguyen, J., & Prat, C. S. (2017). Individual differences in the Simon effect are underpinned by differences in the competitive dynamics in the basal ganglia: An experimental verification and a computational model. Cognition, 164, 31-45.

How can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain

Declarative Memory Comments Off

Halbrügge, M., Quade, M., & Engelbrecht, K.-P. (2015) How can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain. In Bieger, J., Goertzel, B., & Potapov, A. (Eds.) Proceedings of Artificial General Intelligence 2015, pp. 261–271. Berlin: Springer.

Cognitive Strategies in HCI and Their Implications on User Error

Eye Movements, Graphical User Interfaces Comments Off

Halbrügge, M., Quade, M. & Engelbrecht, K.-P. (2016). Cognitive Strategies in HCI and Their Implications on User Error. In A. Papafragou, D. Grodner, D. Mirman, & J. C. Trueswell (eds.), Proceedings of the 38th annual meeting of the Cognitive Science Society (pp. 2549–2554). Austin, TX: Cognitive Science Society.

The Sum of Two Models: How a Composite Model Explains Unexpected User Behavior in a Dual-Task Scenario

Errors, Graphical User Interfaces, Multi-Tasking, Working Memory Comments Off

Halbrügge, M., & Russwinkel, N. (2016). The sum of two models: How a composite model explains unexpected user behavior in a dual-task scenario. In D. Reitter & F. E. Ritter (eds.), Proceedings of the 14th international conference on cognitive modeling (pp. 137–143). University Park, PA: Penn State.

Learning Problem-Solving Rules as Search Through a Hypothesis Space

Mathematical Problem Solving Comments Off

Lee, H.S., Betts, S. & Anderson,J.R. (2016) Learning Problem-Solving Rules as Search Through a Hypothesis Space. Cognitive Science, 40(5), 1036-1079.

Embellishing Problem-Solving Examples with Deep Structure Information Facilitates Transfer

Mathematical Problem Solving Comments Off

Lee, H. S., Betts, S. & Anderson, J. R. (2017). Embellishing Problem-Solving Examples with Deep Structure Information Facilitates Transfer. The Journal of Experimental Education, 85(2),309-333.

The Common Time Course of Memory Processes Revealed

Declarative Memory, Neuropsychology Comments Off

The Common Time Course of Memory Processes Revealed

The Effects of Probe Similarity on Retrieval and Comparison Processes in Associative Recognition

Neuropsychology Comments Off

Zhang, Q., Walsh, M.M., & Anderson, J.R. (2017). The Effects of Probe Similarity on Retrieval and Comparison Processes in Associative Recognition. Journal of Cognitive Neuroscience. 29(2). 352-367.

Learning from examples versus verbal directions in mathematical problem solving

fMRI, Learning by Exploration and Demonstration, Mathematical Problem Solving Comments Off

Lee, H. S., Fincham, J. M., & Anderson, J. R. (2015). Learning from examples versus verbal directions in mathematical problem solving. Mind, Brain, and Education, 9(4), 232-245.

An fMRI investigation of instructional guidance in mathematical problem solving

fMRI, Mathematical Problem Solving Comments Off

Lee, H. S., Fincham, J. M., Betts, S. & Anderson, J. R. (2014). An fMRI investigation of instructional guidance in mathematical problem solving. Trends in Neuroscience and Education, 3(2), 50–62.

Contrasting Single and Multi-Component Working-Memory Systems in Dual Tasking

Multi-Tasking, Working Memory Comments Off

Nijboer, M., Borst, J.P., Van Rijn, H., & Taatgen, N.A. (2016). Contrasting Single and Multi-Component Working-Memory Systems in Dual Tasking. Cognitive Psychology 86, 1-26.

What Makes Interruptions Disruptive? A Process-Model Account of the Effects of the Problem State Bottleneck on Task Interruption and Resumption

Multi-Tasking, Working Memory Comments Off

Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2015). What Makes Interruptions Disruptive? A Process-Model Account of the Effects of the Problem State Bottleneck on Task Interruption and Resumption. In Proceedings CHI 2015. Seoul, Korea.

A computational cognitive model of self-efficacy and daily adherence in mHealth

Uncategorized Comments Off

Pirolli. P. (2016). A computational cognitive model of self-efficacy and daily adherence in mHealth. Translational Behavioral Medicine, 1- 13. doi:10.1007/s13142-016-0391-y

Modeling the Distinct Phases of Skill Acquisition.

fMRI, Mathematical Problem Solving, Practice and Retention, Skill Acquisition Comments Off

Tenison, C., & Anderson, J. R. (2015, November 9). Modeling the Distinct Phases of Skill Acquisition. Journal of Experimental Psychology: Learning, Memory, and Cognition. Advance online publication. http://dx.doi.org/10.1037/xlm0000204

Detecting math problem solving strategies: An investigation into the use of retrospective self-reports, latency and fMRI data.

Choice and Strategy Selection, fMRI, Mathematical Problem Solving, Practice and Retention, Skill Acquisition Comments Off

Tenison, C., Fincham, J. M., & Anderson, J. R. (2014). Detecting math problem solving strategies: An investigation into the use of retrospective self-reports, latency and fMRI data. Neuropsychologia, 54, 41-52.

Phases of Learning: How Skill Acquisition Impacts Cognitive Processing

fMRI, Skill Acquisition, Uncategorized Comments Off

Tenison, C., Fincham, J.M., & Anderson, J.R. (2016). Phases of Learning: How Skill Acquisition Impacts Cognitive Processing. Cognitive Psychology, 87, 1-28.

Hidden Stages of Cognition Revealed in Patterns of Brain Activation

fMRI Comments Off

Anderson, J. R., Pyke, A., & Fincham, J. M. (2016). Hidden Stages of Cognition Revealed in Patterns of Brain Activation. Psychological Science, 27(9), 1215-1226.

Understanding Sensemaking Using Functional Architectures.

Category Learning, Learning by Exploration and Demonstration Comments Off

Thomson, R., Lebiere, C., Rutledge-Taylor, M., Staszewski, J., & Anderson, J. R. (2012). Understanding Sensemaking Using Functional Architectures. In T. Jambrowski (Ed.) Proceedings of the 21st Annual Behavior Representation in Modeling and Simulation Conference. Dayton, OH.

A Comparison of Rule-Based versus Exemplar-Based Categorization Using the ACT-R Architecture.

Category Learning, Reasoning Comments Off

Rutledge-Taylor, M., Lebiere, C., Thomson, R., Staszewski, J., & Anderson, J. R. (2012). A Comparison of Rule-Based versus Exemplar-Based Categorization Using the ACT-R Architecture. In Proceedings of the 21st Annual Behavior Representation in Modeling and Simulation Conference.

An ACT-R Model of Sensemaking in a Geospatial Intelligence Task.

Category Learning, Choice and Strategy Selection, Reinforcement Learning Comments Off

Paik, J., Pirolli, P., Dong, W., Lebiere, C., & Thomson, R. (2013). An ACT-R Model of Sensemaking in a Geospatial Intelligence Task. In Proceedings of the 22nd Annual Conference on Behavior Representation in Modeling and Simulation.

A Balanced Hebbian Algorithm for Associative Learning in ACT-R.

Architecture, Implicit Learning, List Memory Comments Off

Thomson, R. & Lebiere, C. (2013). A Balanced Hebbian Algorithm for Associative Learning in ACT-R. R. West & T. Stewart (Eds.) Proceedings of the 12th International Conference on Cognitive Modeling. Ottawa: Canada.

Human, Model, and Machine: A Complementary Approach to Big Data.

Dynamic Systems, Tools Comments Off

Thomson, R. Lebiere, C., & Bennati, S. (2014). Human, Model, and Machine: A Complementary Approach to Big Data. In Association for Computing Machinery Proceedings of the IARPA Workshop on Human Centered Big Data Research. Raleigh, NC. doi:10.1145/2609876.2609883

A General Instance-Based Model of Sensemaking in a Functional Architecture.

Choice and Strategy Selection, Game Playing Comments Off

Thomson, R. Lebiere, C., & Bennati, S. (2014). A General Instance-Based Model of Sensemaking in a Functional Architecture. In Proceedings of the 23rd Annual Behavior Representation in Modeling and Simulation Conference. Washington, DC.

Extending the Influence of Contextual Information in ACT-R using Buffer Decay.

Architecture, Causal Learning, Implicit Learning, Working Memory Comments Off

Thomson, R., Bennati, S., & Lebiere, C. (2014). Extending the Influence of Contextual Information in ACT-R using Buffer Decay. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Strong CogSci: Guidance from Cognitive Science On the Design of a Test of Artificial Intelligence.

Game Playing, Learning by Exploration and Demonstration Comments Off

Lebiere, C., Bothell, D., Morrison, D., Oltramari, A., Romero, O., Thomson, R., & Vinokurov, J. (2015). Strong CogSci: Guidance from Cognitive Science On the Design of a Test of Artificial Intelligence. In Rossi, F (Ed), Beyond The Turing Test Workshop Proceedings of the 29th AAAI Conference. Austin, TX.

Functional Cognitive Models of Malware Identification.

Category Learning, Tools Comments Off

Lebiere, C., Bennati, S., Thomson, R., Shakarian, P., & Nunes, E. (2015). Functional Cognitive Models of Malware Identification. In N. Taatgen (Ed), Proceedings of the 13th Annual Conference on Cognitive Modeling. Groningen, Netherlands.

Malware Identification Using Cognitively-Inspired Inference.

Category Learning, Tools Comments Off

Thomson, R. Lebiere, C., Bennati, S., Shakarian, P., & Nunes, E. (2015). Malware Identification Using Cognitively-Inspired Inference. In Proceedings of the 24th Annual Behavior Representation in Modeling and Simulation Conference. Washington, DC.

An Account of Associative Learning in Memory Recall.

Architecture, Causal Learning, Implicit Learning, List Memory, Practice and Retention, Updating Memory and Prospective Memory, Working Memory Comments Off

Thomson, R., Pyke, A., Trafton, J. G., & Hiatt, L. M. (2015). An Account of Associative Learning in Memory Recall. In Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

A Functional Model of Sensemaking in a Neurocognitive Architecture.

Category Learning, Choice and Strategy Selection, Graphical User Interfaces, Implicit Learning, Learning by Exploration and Demonstration, Neuropsychology, Reasoning Comments Off

Lebiere, C., Pirolli, P., Thomson, R., Paik, J., Rutledge-Taylor, M., Staszewski, J., & Anderson, J. (2013). A Functional Model of Sensemaking in a Neurocognitive Architecture. Computational Intelligence and Neuroscience; Special Issue on Neurocognitive Models of Sense Making.

A General Instance-Based Learning Framework for Studying Intuitive Decision Making in a Cognitive Architecture.

Reasoning Comments Off

Thomson, R., Lebiere, C., Anderson, J. R., & Staszewski, J. (2015). A General Instance-Based Learning Framework for Studying Intuitive Decision Making in a Cognitive Architecture. Journal of Applied Research in Memory and Cognition; Special Issue on Modeling and Aiding Intuitions in Organizational Decision Making.

Modeling interruption and resumption in a smartphone task: An ACT-R approach

User Modeling Comments Off

Wirzberger, M., & Russwinkel, N. (2015). Modeling interruption and resumption in a smartphone task: An ACT-R approach. i- com, 14(2), 147-154. doi:10.1515/icom-2015-0033

Modeling representational shifts in learning the number line

Cognitive Development Comments Off

Lende, L. K. & Taatgen, N. (2012). Modeling representation shifts in learning the number line. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

A Predictive Model of Human Error based on User Interface Development Models and a Cognitive Architecture

Errors, Graphical User Interfaces Comments Off

Halbrügge, M., Quade, M. & Engelbrecht, K.-P. (2015). A Predictive Model of Human Error based on User Interface Development Models and a Cognitive Architecture. In Taatgen, N. A.; van Vugt, M. K.; Borst, J. P. & Mehlhorn, K. (Eds.) Proceedings of the 13th International Conference on Cognitive Modeling, 238-243, Groningen: University of Groningen,

Modeling the development of vehicle lateral control skills in a cognitive architecture

Driving and Flying Behavior, Reinforcement Learning Comments Off

Cao, S., Qin, Y., Zhao, L., & Shen, M. (2015). Modeling the development of vehicle lateral control skills in a cognitive architecture. Transportation Research Part F: Traffic Psychology and Behaviour, 32, 1-10.

Effect of driving experience on collision avoidance braking: An experimental investigation and computational modelling

Driving and Flying Behavior Comments Off

Cao, S., Qin, Y., Jin, X., Zhao, L., & Shen, M. (2014). Effect of driving experience on collision avoidance braking: An experimental investigation and computational modelling. Behaviour and Information Technology, 33(9), 929–940.

The Discovery of Processing Stages: Extension of Sternberg’s Method

Neuropsychology, Tools Comments Off

Anderson, J.R., Zhang, Q., Borst, J.P., & Walsh, M.M. (2016). The Discovery of Processing Stages: Extension of Sternberg’s Method. Psychological Review, 123(5), 481-509.

A Pseudo-Deterministic Model of Human Language Processing

Lexical and General Language Processing Comments Off

Ball, J. (2011). A Pseudo-Deterministic Model of Human Language Processing. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society, 495-500. Austin, TX: Cognitive Science Society.

Using Data-Driven Model-Brain Mappings to Constrain Formal Models of Cognition

fMRI Comments Off

Borst, J.P., Nijboer, M., Taatgen, N.A., Van Rijn, H., & Anderson, J.R. (2015). Using Data-Driven Model-Brain Mappings to Constrain Formal Models of Cognition. PLoS ONE 10(3): e0119673.

Discovering the structure of mathematical problem solving

fMRI, Mathematical Problem Solving, Neuropsychology Comments Off

Anderson, J. R., Lee, H. S., & Fincham, J. M. (2014). Discovering the structure of mathematical problem solving. NeuroImage, 97, 163-177.

An ACT-R process model of the signal duration phenomenon of vigilance

Architecture, Attention Comments Off

Gartenberg, D., Veksler, B., Gunzelmann, G., & Trafton, J. G. (2014).  An ACT-R process model of the signal duration phenomenon of vigilance. In Proceedings of 58th annual meeting of the Human Factors and Ergonomics Society.

Visuospatial referents facilitate the learning and transfer of mathematical operations: Extending the role of the angular gyrus

Cognitive Arithmetic Comments Off

Pyke, A., Betts, S., Fincham, J. M., & Anderson, J. R. (2014). Visuospatial referents facilitate the learning and transfer of mathematical operations: Extending the role of the angular gyrus. Cognitive, Affective, & Behavioral Neuroscience, 1-22.

The Discovery of Processing Stages: Analyzing EEG data with Hidden Semi-Markov Models.

Declarative Memory Comments Off

Borst, J.P. & Anderson, J.R. (2015). The Discovery of Processing Stages: Analyzing EEG data with Hidden Semi-Markov Models. NeuroImage 108, 60-73.

The Sequential Structure of Brain Activation Predicts Skill

fMRI, Game Playing, Individual Differences Comments Off

Anderson, J.R., Bothell, D., Fincham, J.M., & Moon, J. (2016). The Sequential Structure of Brain Activation Predicts Skill. Neuropsychologia, 81, 94-106.

ACT-RΦ: A Cognitive Architecture with Physiology and Affect

Motivation, Emotion, Cognitive Moderators, & Performance Comments Off

Dancy, C. L. (2013). “ACT-RΦ: A cognitive architecture with physiology and affect.” Biologically Inspired Cognitive Architectures 6: 40–45.

Is Temporal Memory Special? The Choose-Short Effect in Time and Length

Declarative Memory, Time Perception Comments Off

Moon, J., & Anderson, J. R. (submitted). Is temporal memory special? The choose-short effect in time and length.

A model of object location memory

Declarative Memory, Spatial Reasoning and Navigation Comments Off

Peebles, D. & Jones, C. (2014). A model of object location memory. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Simplifying the interaction between cognitive models and task environments with the JSON Network Interface

Tools Comments Off

Process models of cognition, written in architectures such as ACT-R and EPIC, should be able to interact with the same software with which human subjects interact. By eliminating the need to simulate the experiment, this approach would simplify the modeler’s effort, while ensuring that all steps required of the human are also required by the model. In practice, the difficulties of allowing one software system to interact with another present a significant barrier to any modeler who is not also skilled at this type of programming. The barrier increases if the programming language used by the modeling software differs from that used by the experimental software. The JSON Network Interface simplifies this problem for ACT-R modelers, and potentially, modelers using other systems.

End effects and cross-dimensional interference in identification of time and length: Evidence for a common memory mechanism

Declarative Memory, Psychophysical Judgements, Time Perception Comments Off

Moon,J., Fincham,J.M., Betts,S.A., & Anderson,J.R.,(2015). End effects and cross-dimensional interference in identification of time and length: Evidence for a common memory mechanism. Cognitive, Affective, & Behavioral Neuroscience, 15, 680-695.

Modeling Developmental Transitions in Reasoning about False Beliefs of Others

Cognitive Development Comments Off

Arslan, B., Taatgen, N., Verbrugge, R. (2013). Modeling Developmental Transitions in Reasoning about False Beliefs of Others. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling, Ottawa: Carleton University.

Keep it simple – A case study of model development in the context of the Dynamic Stocks and Flows (DSF) task

Choice and Strategy Selection, Dynamic Systems, Reinforcement Learning Comments Off

Halbrügge, M. (2010). Keep it simple – A case study of model development in the context of the Dynamic Stocks and Flows (DSF) task. Journal of Artificial General Intelligence, 2(2):38-51

ACT-CV: Bridging the Gap between Cognitive Models and the Outer World

Tools Comments Off

Halbrügge, M. (2013). ACT-CV: Bridging the Gap between Cognitive Models and the Outer World. In Brandenburg, E., Doria, L., Gross, A., Güntzler, T., and Smieszek, H., eds., Grundlagen und Anwendungen der Mensch-Technik- Interaktion. 10. Berliner Werkstatt Mensch-Maschine-Systeme, pages 205-210, Berlin, Universitätsverlag der TU Berlin

Cognitive modeling of different processing modes in task switching: towards an explanation of the effects of aging on switching cost.

Individual Differences, Interference, Task Switching Comments Off

Deline S. & Juhel J. (2012). Cognitive modeling of different processing modes in task switching: towards an explanation of the effects of aging on switching cost. In N. Rußwinkel, U. Drewitz, & H. van Rijn (Eds.), Proceedings of ICCM 2012, 11th international Conference on Cognitive Modeling (pp. 281-282). Universitätsbibliothek, Berlin.

Extending Problem-Solving Procedures

fMRI Comments Off

Anderson, J. R. & Fincham, J. M. (2014). Extending Problem-Solving Procedures. Cognitive Psychology, Nov;74:1-31.

Towards Adding Bottom-Up Homeostatic Affect to ACT-R

Motivation, Emotion, Cognitive Moderators, & Performance Comments Off

Dancy, C. L., & Kaulakis, R. (2013). Towards Adding Bottom-Up Homeostatic Affect to ACT-R. In R. West & T. Stewart, Proceedings of the 12th International Conference on Cognitive Modeling (pp. 316-321). Ottawa: Carleton University.

Strategic adaptation of humans playing computer algorithms in a repeated constant-sum game

Choice and Strategy Selection, Game Playing Comments Off

Spiliopoulos, L. (2013). Strategic adaptation of humans playing computer algorithms in a repeated constant-sum game. Journal of Autonomous Agents and Multi-Agent Systems, 27(1), 131­160.

Beyond fictitious play beliefs: Incorporating pattern recognition and similarity matching

Uncategorized Comments Off

Spiliopoulos, L. (2013). Beyond fictitious play beliefs: Incorporating pattern recognition and similarity matching. Games and Economic Behavior,81, 69­85.

Motivations and goals in developing integrative models of human cognition

ACT-R Theory Comments Off

Gunzelmann, G. (2013). Motivations and goals in developing integrative models of human cognition [Workshop Organizer]. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th Annual Meeting of the Cognitive Science Society (pp. 30-31). Austin, TX: Cognitive Science Society.

Computational process modeling and cognitive stressors: Background and prospects for application in cognitive engineering

Motivation, Emotion, Cognitive Moderators, & Performance Comments Off

Gluck, K. A., & Gunzelmann, G. (2013). Computational process modeling and cognitive stressors: Background and prospects for application in cognitive engineering. In J. D. Lee & A. Kirlik, The Oxford Handbook of Cognitive Engineering (pp. 424-432). New York, NY: Oxford University Press.

The impact of sleep loss on time estimation: Reconciling conflicting results through modeling

Choice and Strategy Selection, Motivation, Emotion, Cognitive Moderators, & Performance Comments Off

Moore, L. R., & Gunzelmann, G. (2013). The impact of sleep loss on time estimation: Reconciling conflicting results through modeling. In R. West & T. Stewart, Proceedings of the 12th International Conference on Cognitive Modeling (pp. 191-196). Ottawa, Canada: Carleton University.

Task artifacts and strategic adaptation in the change signal task

Choice and Strategy Selection, Motivation, Emotion, Cognitive Moderators, & Performance Comments Off

Moore, L. R., & Gunzelmann, G. (2013). Task artifacts and strategic adaptation in the change signal task. Cognitive Systems Research, 24(1), 35-42. (DOI: 10.1016/j.cogsys.2012.12.001)

Deconstructing and reconstructing cognitive performance in sleep deprivation

Motivation, Emotion, Cognitive Moderators, & Performance Comments Off

Jackson, M. L., Gunzelmann, G., Whitney, P., Hinson, J. M., Belenky, G., Rabat, A., & Van Dongen, H. P. A. (2013). Deconstructing and reconstructing cognitive performance in sleep deprivation. Sleep Medicine Reviews, 17, 215-225. (DOI: 10.1016/j.smrv.2012.06.007)

Strategy and pattern recognition in expert comprehension of 2 x 2 interaction graphs

Choice and Strategy Selection Comments Off

Peebles, D. J. (2013). Strategy and pattern recognition in expert comprehension of 2 x 2 interaction graphs. Cognitive Systems Research 24 , 43–51.

Unified Modeling of Proactive Interference and Memorization Effort: A new mathematical perspective within ACT-R theory

Declarative Memory, Graphical User Interfaces, Interference Comments Off

Das, A., & Stuerzlinger, W. (2013). Unified Modeling of Proactive Interference and Memorization Effort: A new mathematical perspective within ACT-R theory. In Knauff M., Pauen M., Sebanz N., & Wachsmuth I. (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 358-363). Austin, TX: Cognitive Science Society.

The Influence of Activation Level on Belief Bias in Relational Reasoning

Uncategorized Comments Off

Banks, A. (2012). The Influence of Activation Level on Belief Bias in Relational Reasoning. Cognitive Science, 37(3), 544-577.

Memory Activation and the Availability of Explanations in Sequential Diagnostic Reasoning

Reasoning, Updating Memory and Prospective Memory Comments Off

Mehlhorn, K., Taatgen, N.A., Lebiere, C., & Krems, J.F. (2011). Memory Activation and the Availability of Explanations in Sequential Diagnostic Reasoning. Journal of Experimental Psychology: Learning, Memory, & Cognition, 37, 1391-1411.

Modeling the Binding of Implicit Arguments in Complement Clauses in ACT-R/Double-R

Lexical and General Language Processing Comments Off

Ball, J. (2013). Modeling the Binding of Implicit Arguments in Complement Clauses in ACT-R/Double-R. In R. West & T. Stewart (eds.), Proceedings of the 12th International Conference on Cognitive Modeling, 84-88. Ottawa: Carleton University.

Advantages of ACT-R over Prolog for Natural Language Analysis

Lexical and General Language Processing Comments Off

Ball, J. (2013). The Advantages of ACT-R over Prolog for Natural Language Analysis. In B. Kennedy, D. Reitter & R. St. Amant (eds), Proceedings of the 22nd Annual Conference on Behavior Representation in Modeling and Simulation, 1-8. Ottowa, Canada: BRIMS Society.

Predicting Interference in Concurrent Multitasking

fMRI, Multi-Tasking No Comments »

Nijboer, M., Borst, J.P., van Rijn, H., & Taatgen, N.A. (2013). Predicting Interference in Concurrent Multitasking. In R. West & T. Stewart (Eds.), Proceedings of the 12th International Conference on Cognitive Modeling. Ottawa: Carleton University.

A Data-Driven Mapping of Five ACT-R Modules on the Brain

Architecture, fMRI No Comments »

Borst, J.P., Nijboer, M., Taatgen, N.A., & Anderson, J.R. (2013). A Data-Driven Mapping of Five ACT-R Modules on the Brain. In R. West & T. Stewart (Eds.), Proceedings of the 12th International Conference on Cognitive Modeling. Ottawa: Carleton University.

Avoiding the Problem State Bottleneck by Strategic use of the Environment

Multi-Tasking No Comments »

Borst, J.P., Buwalda, T.A., Van Rijn, H., & Taatgen, N.A. (2013). Avoiding the Problem State Bottleneck by Strategic use of the Environment. Acta Psychologica 144(2), 373-379.

Decision Making in Concurrent Multitasking: Do People Adapt to Task Interference?

Multi-Tasking Comments Off

Nijboer, M., Taatgen, N.A., Brands, A., Borst, J.P., & Van Rijn, H. (2013). Decision Making in Concurrent Multitasking: Do People Adapt to Task Interference? PLoS ONE 8(11), e79583.

Using the ACT-R Cognitive Architecture in combination with fMRI data

fMRI Comments Off

Borst, J.P. & Anderson, J.R. (2015). Using the ACT-R Cognitive Architecture in combination with fMRI data. In B.U. Forstmann, & E.-J. Wagenmakers (Eds.), An Introduction to Model-Based Cognitive Neuroscience. Springer: New York.

Validating Models of Complex, Real-Life Tasks Using fMRI

fMRI Comments Off

Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2013). Validating Models of Complex, Real-Life Tasks Using fMRI. In A. Johnson & R.W. Proctor (Eds.), Neuroergonomics: A Cognitive Neuroscience Approach to Human Factors and Ergonomics. Palgrave MacMillan.

Constraining ACT-R models of decision strategies: An experimental paradigm

Choice and Strategy Selection Comments Off

Dimov, C., Marewski, J. N., & Schooler, L. J. (2013). Constraining ACT-R models of decision strategies: An experimental paradigm. In Knauff M., Pauen M., Sebanz N. & Wachsmuth I. (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 2201-2206). Austin, TX: Cognitive Science Society.

Strategy selection: An introduction to the modeling challenge

Choice and Strategy Selection Comments Off

Marewski, J. N., & Link, D. (2014). Strategy selection: An introduction to the modeling challenge. Wiley Interdisciplinary Reviews: Cognitive Science, 5, 39-59. DOI: 10.1002/wcs.1265

Individual differences and workload effects on strategy adoption in a dynamic task

Game Playing Comments Off

Moon, J., Betts, S. A., & Anderson, J. R. (2013). Individual differences and workload effects on strategy adoption in a dynamic task. Acta Psychologica, 144(1), 154-165.

Navigating complex decision spaces: Problems and paradigms in sequential choice

Uncategorized Comments Off

Walsh, M. M., & Anderson, J. R. (2013). Navigating complex decision spaces: Problems and paradigms in sequential choice. Psychological Bulletin, .

Electrophysiological responses to feedback during the application of abstract rules

Uncategorized Comments Off

Walsh, M. M., & Anderson, J. R. (2013). Electrophysiological responses to feedback during the application of abstract rules. Journal of Cognitive Neuroscience, 25(11), 1986-2002.

Discovering Processing Stages by combining EEG with Hidden Markov Models

Uncategorized Comments Off

Borst, J. & Anderson, J., R, (2013). Discovering Processing Stages by combining EEG with Hidden Markov Models. In Proceedings of the 35th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Using model-based functional MRI to locate working memory updates and declarative memory retrievals in the fronto-parietal network

Declarative Memory, fMRI, Working Memory Comments Off

Borst, J. P., & Anderson, J. R. (2013). Using model-based functional MRI to locate working memory updates and declarative memory retrievals in the fronto-parietal network. Proceedings of the National Academy of Sciences U.S.A., 110(5), 1628-1633.

Student learning: What has instruction got to do with it?

Instructional Materials Comments Off

Lee, H. S. & Anderson, J. R. (2013). Student learning: What has instruction got to do with it? Annual Review of Psychology, 64, 445-469.

Learning from experience: Event-related potential correlates of reward processing, neural adaptation, and behavioral choice

Reinforcement Learning Comments Off

Walsh, M. M. & Anderson, J. R. (2012). Learning from experience: Event-related potential correlates of reward processing, neural adaptation, and behavioral choice. Neuroscience and Biobehavioral Reviews, 36, 1870-1894.

Cognitive constraints on decision making under uncertainty

Uncategorized Comments Off

Lebiere, C. & Anderson. J. R. (2011). Cognitive constraints on decision making under uncertainty. Frontiers in Cognition: Psychology.

Using Brain imaging to interpret student problem solving

Mathematical Problem Solving Comments Off

Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M (2011). Using Brain imaging to interpret student problem solving. In IEEE Intelligent Systems, 26(5), 22-29.

Stages of Processing in Associative Recognition: Evidence from Behavior, Electroencephalography, and Classification.

Learning and Memory Comments Off

Borst, J.P., Schneider, D.W., Walsh, M.M., & Anderson, J.R. (2013). Stages of Processing in Associative Recognition: Evidence from Behavior, Electroencephalography, and Classification. Journal of Cognitive Neuroscience, 25(12), 2151-2166.

When does provision of instruction promote learning?

Intelligent Tutoring Systems, Learning by Exploration and Demonstration, Mathematical Problem Solving Comments Off

Lee, H. S., Anderson, A., Betts, S., & Anderson, J. R. (2011). When does provision of instruction promote learning? In L. Carlson, C. Hoelscher, & T. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 3518-3523). Austin, TX: Cognitive Science Society.

Timing in multitasking: Memory contamination and time pressure bias

Multi-Tasking Comments Off

Moon, J., & Anderson, J. R. (2013). Timing in multitasking: Memory contamination and time pressure bias. Cognitive Psychology, 67 (1/2), 26-54.

Modeling Millisecond Time Interval Estimation in Space Fortress Game

Game Playing, Time Perception Comments Off

Moon, J., & Anderson, J. R. (2012). Modeling Millisecond Time Interval Estimation in Space Fortress Game. In Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 767-772). Sapporo, Japan.

Networks supporting execution of mathematical skill versus acquisition of new competence

fMRI, Mathematical Problem Solving, Skill Acquisition, User Modeling Comments Off

Wintermute, S., Betts, S. A., Ferris, J. L., Fincham, J. M., & Anderson, J. R. (2012). Brain Networks Supporting Execution of Mathematical Skills versus Acquisition of New Mathematical Competence. Public Library of Science (PLOS) ONE.

An accumulator model of semanitc interference

Interference No Comments »

Van Maanen, L., & Van Rijn, H. (2007). An accumulator model of semantic interference. Cognitive Systems Research, 8(3), 174-181.

On-line reference assignment for anaphoric and non-anaphoric nouns: A unified, memory-based model in ACT-R

Analogy and Metaphor, Lexical and General Language Processing Comments Off

Pyke, A., West, R. L., & LeFevre, J. (2007a). On-line reference assignment for anaphoric and non-anaphoric nouns: A unified, memory-based model in ACT-R. In D. S. McNamara & J.

G. Trafton (Eds.), Proceedings of the 29th Annual Meeting of the Cognitive Science

Society (pp. 1403-1408). Nashville, TN: Cognitive Science Society.

How readers retrieve referents for nouns in real time: A memory-based model of context effects on referent accessibility

Analogy and Metaphor, Lexical and General Language Processing No Comments »

Pyke, A. West, R. L., & LeFevre, J. (2007b). How readers retrieve referents for nouns in real time:

A memory-based model of context effects on referent accessibility. In Proceedings of the

8th International Conference on Cognitive Modeling (ICCM), pp. 7-12. New York, NY:

Taylor & Francis/Psychology Press.

Modeling a Three Term Fan Effect

Interference, User Modeling No Comments »

Rutledge-Taylor, M., Pyke, A., West, R. & Lang, H. (2010). Modeling a Three Term

Fan Effect. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th

International Conference on Cognitive Modeling (pp. 211-216). Philadelphia, PA: Drexel

University.

Interference and ACT-R: New evidence from the fan effect

Interference No Comments »

West, R., Pyke, A., Rutledge-Taylor, M. & Lang, H. (2010). Interference and ACT-R: New evidence from the fan effect. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 211-216). Philadelphia, PA: Drexel University.

Discovering the Sequential Structure of Thought

fMRI Comments Off

Anderson, J. R. & Fincham, J. M. (2013). Discovering the sequential structure of thought. Cognitive Science, 37(6), 1-31.

Using Ontologies in a Cognitive-Grounded System: Automatic Action Recognition in Video Surveillance

Reasoning No Comments »

Oltramari, A. & Lebiere, C. (2012). Using Ontologies in a Cognitive-Grounded System: Automatic Action Recognition in Video Surveillance. In Proceedings of the Seventh International Conference on Semantic Technology for Intelligence, Defense, and Security. Fairfax, Virginia, USA.

Pursuing Artificial General Intelligence By Leveraging the Knowledge Capabilities Of ACT-R

Reasoning No Comments »

Oltramari, A. & Lebiere, C. (2012). Pursuing Artificial General Intelligence By Leveraging the Knowledge Capabilities Of ACT-R. In Proceedings of the Fifth Conference on Artificial General Intelligence (AGI 2011). Oxford, England, Oxford, December 8-11.

Extending Cognitive Architectures with Semantic Resources

Reasoning No Comments »

Oltramari, A. & Lebiere, C. (2011). Extending Cognitive Architectures with Semantic Resources. In Proceedings of the Fourth Conference on Artificial General Intelligence (AGI 2011), Mountain View, California, USA, August 3-6.

Using a Symbolic Process Model as input for Model-Based fMRI Analysis: Locating the Neural Correlates of Problem State Replacements

fMRI No Comments »

Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2011). Using a Symbolic Process Model as input for Model-Based fMRI Analysis: Locating the Neural Correlates of Problem State Replacements. NeuroImage, 58(1), 137-147.

Using a Cognitive Model to Provide Instruction for a Dynamic Task

Uncategorized No Comments »

Moon, J., Bothell, D., & Anderson, J. R. (2011). Using a Cognitive Model to Provide Instruction for a Dynamic Task. In Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp.2283-2288). Boston, MA.

Spatial Encoding in Briefly Presented Schematic Displays

Spatial Reasoning and Navigation No Comments »

Gunzelmann, G. & Mohebbi, R. (2010). Spatial Encoding in Briefly Presented Schematic Displays. In Poster Book: Association for Psychological Science 22nd Annual Convention. (p. 179). Washington, DC: Association for Psychological Science.

Visualizing egocentric vs. exocentric path descriptions

Spatial Reasoning and Navigation Comments Off

Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2007). Visualizing egocentric vs. exocentric path descriptions. In D. S. McNamara and J. G. Trafton (Eds.), Proceedings of the Twenty-Ninth Annual Meeting of the Cognitive Science Society (p. 1811). Austin, TX: Cognitive Science Society.

Evaluating mechanisms of fatigue using a digit symbol substitution task

Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Moore, L. R., Gunzelmann, G., & Gluck, K. A. (2008). Evaluating mechanisms of fatigue using a digit symbol substitution task. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the Thirtieth Annual Meeting of the Cognitive Science Society (p. 1522). Austin, TX: Cognitive Science Society.

Learning to orient using a map display: Evidence from eye tracking

Spatial Reasoning and Navigation No Comments »

Gunzelmann, G., Douglass, S., & Khooshabeh, P. (2008). Learning to orient using a map display: Evidence from eye tracking. In C. Holscher (Ed.), Spatial Cognition 2008: Poster Proceedings (Report #016-08/2008, pp. 85-88). Bremen, Germany: Transregional Collaborative Research Center SFB/TR 8 Spatial Cognition.

Modeling the progression of Alzheimer’s disease for cognitive assistance in smart homes

Errors, Individual Differences, User Modeling No Comments »

Serna, A., Pigot, H., & Rialle, V. (2007). Modeling the progression of Alzheimer’s disease for cognitive assistance in smart homes. User Modeling and User-Adapted Interaction, 17, 415-438.

Visual Search Versus Memory in a Paired Associate Task

Motivation, Emotion, Cognitive Moderators, & Performance, Visual Search No Comments »

Halverson, T., & Gunzelmann, G. (2011). Visual Search Versus Memory in a Paired Associate Task. In Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting (pp. 875-879). Thousand Oaks, CA: SAGE. (DOI: 10.1177/1071181311551182)

Evaluating the relationship between neuropsychological function and cognitive performance

fMRI No Comments »

Gunzelmann, G., & Moore, L. R. (2012). Evaluating the relationship between neuropsychological function and cognitive performance. In N. Miyake, R. Cooper, and D. Peebles (Eds.). Proceedings of the Thirty-Fourth Annual Meeting of the Cognitive Science Society (pp. 414-419). Austin, TX: Cognitive Science Society.

Fatigue in sustained attention: Generalizing mechanisms for time awake to time on task

Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Gunzelmann, G., Moore, L. R., Gluck, K. A., Van Dongen, H. P. A., & Dinges, D. F. (2010). Fatigue in sustained attention: Generalizing mechanisms for time awake to time on task. In P. L. Ackerman (Ed.), Cognitive Fatigue: Multidisciplinary Perspectives on Current Research and Future Applications (pp. 83-96). Washington, DC: American Psychological Association.

Functional equivalence and spatial path memory

Spatial Reasoning and Navigation No Comments »

Lyon, D. R., & Gunzelmann, G. (2011). Functional equivalence and spatial path memory. Quarterly Journal of Experimental Psychology, 64(11), 2081-2087. (DOI: 10.1080/17470218.2011.618227)

Representations and processes of human spatial competence

Architecture, Spatial Reasoning and Navigation No Comments »

Gunzelmann, G., & Lyon, D. R. (2011). Representations and processes of human spatial competence. Topics in Cognitive Science, 3(4), 741-759. (DOI: 10.1111/j.1756-8765.2011.01153.x)

Introduction to the Topic on Modeling Spatial Cognition

Architecture, Spatial Reasoning and Navigation No Comments »

Gunzelmann, G. (2011). Introduction to the Topic on Modeling Spatial Cognition. Topics in Cognitive Science, 3(4), 628-631. (DOI: 10.1111/j.1756-8765.2011.01160.x)

Sleep loss and driver performance: Quantitative predictions with zero free parameters

Driving and Flying Behavior, Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Gunzelmann, G., Moore, L. R., Salvucci, D. D., & Gluck, K. A. (2011). Sleep loss and driver performance: Quantitative predictions with zero free parameters. Cognitive Systems Research, 12(2), 154-163.

Impaired performance due to sleep deprivation: A role for diminished knowledge access

Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Gunzelmann, G., Gluck, K. A., Moore, L. R., & Dinges, D. F. (2012). Impaired performance due to sleep deprivation: A role for diminished knowledge access. Cognitive Systems Research, 13(1), 1-11.

Strategy generalization across orientation tasks: Testing a computational cognitive model

Spatial Reasoning and Navigation No Comments »

Gunzelmann, G. (2008). Strategy generalization across orientation tasks: Testing a computational cognitive model. Cognitive Science, 32(5), 835-861.

One model, two tasks: Decomposing the change signal task

Choice and Strategy Selection No Comments »

Moore, L., Gunzelmann, G., & Daigle, M. (2012). One model, two tasks: Decomposing the change signal task. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Adaptive Mesh Refinement for Efficient Exploration of Cognitive Architectures and Cognitive Models

User Modeling No Comments »

Best, B.J., Furjanic, C., Gerhart, N., Fincham, J. M., Gluck, K. A., Gunzelmann, G., Krusmark, M., (2009). Adaptive Mesh Refinement for Efficient Exploration of Cognitive Architectures and Cognitive Models. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 252), Manchester, United Kingdom.

Do the details matter? Comparing performance forecasts from two computation theories of fatigue.

Driving and Flying Behavior, Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Gluck, K. A., Gunzelmann, G.,& Krusmark, M. A. (2009). Do the details matter? Comparing performance forecasts from two computation theories of fatigue. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 172), Manchester, United Kingdom.

Fluctuations in alertness and sustained attention: Predicting driver performance

Attention, Driving and Flying Behavior, Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Gunzelmann, G., Moore, R. L., Salvucci, D. D., & Gluck, K. A. (2009). Fluctuations in alertness and sustained attention: Prediction driver performance. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 239), Manchester, United Kingdom.

Visualizing egocentric path descriptions: A computational model

User Modeling No Comments »

Lyon, D. R. & Gunzelmann, G. (2009). Visualizing egocentric path descriptions: A computational model. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 102), Manchester, United Kingdom.

Computational modeling of the combined effects of circadian rhythm and sleep deprivation

Attention, Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Gross, J. B., Gunzelmann, G., Gluck, K. A., Van Dongen, H. P. A., & Dinges, D. F. (2006). Computational modeling of the combined effects of circadian rhythm and sleep deprivation. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 297-302 ) . Vancouver, British Columbia, Canada.

Understanding similarities in performance on different orientation tasks: Strategy adaptation

Choice and Strategy Selection, Spatial Reasoning and Navigation No Comments »

Gunzelmann, G. F. (2006). Understanding similarities in performance on different orientation tasks: Strategy adaptation. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 124-129). Trieste, Italy.

Mathematical models of spacing effects in memory: Applications in education and training

Mathematical Problem Solving No Comments »

Jastrzembski, T. S., Gluck, K. A., & Gunzelmann, G. (2006). Mathematical models of spacing effects in memory: Applications in education and training. In Proceedings of the Society for Mathematical Psychology annual meeting: Vancouver, Canada.

A computational model of spatial visualization capacity

Spatial Reasoning and Navigation No Comments »

Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2008). A computational model of spatial visualization capacity. Cognitive Psychology, 57, 122-152.

A neurobehaviorally inspired ACT-R model of sleep deprivation: Decreased performance in psychomotor vigilance.

Attention, Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Gunzelmann, G., Gluck, K. A., Van Dongen, H. P. A., O’Conner, R. M., & Dinges, D. F. (2005). A neurobehaviorally inspired ACT-R model of sleep deprivation: Decreased performance in psychomotor vigilance. In B. G. Bara, L. Barsalou, and M. Bucciarelli (Eds.), Proceedings of the Twenty-Seventh Annual Meeting of the Cognitive Science Society, (pp. 857-862). Mahwah, NJ: Lawrence Erlbaum Associates.

Spatial Orientation Using Map Displays: A Model of the Influence of Target location

Spatial Reasoning and Navigation No Comments »

Gunzelmann, G. & Anderson, J. R. (2004) Spatial orientation using map displays: A model of the influence of target location. In proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 517-522) . August 4-7, Chicago, USA

Emulating a visuospatial memory field using ACT-R

Spatial Reasoning and Navigation No Comments »

Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2004). Emulating a visuospatial memory field using ACT-R. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 368-369). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh.

Strategic differences in the coordination of different views of space

Spatial Reasoning and Navigation Comments Off

Gunzelmann, G., & Anderson, J. R. (2002). Strategic differences in the coordination of different views of space. In W. D. Gray and C. D. Schunn (Eds.), Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society (pp. 387-392). Mahwah, NJ: Lawrence Erlbaum Associates.

An ACT-R Model of the Evolution of Strategy Use and Problem Difficulty

Tower of Hanoi No Comments »

Gunzelmann, G., & Anderson, J. R. (2001). An ACT-R Model of the Evolution of Strategy Use and Problem Difficulty. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 109-114. Mahwah, NJ: Lawrence Erlbaum Associates.

Distinct contributions of the caudate nucleus, rostral prefrontal cortex, and parietal cortex to the execution of instructed tasks

fMRI, Instructional Materials, Neuropsychology Comments Off

Stocco, A., Lebiere, C., O’Reilly, R. C., & Anderson, J. R. (2012). Distinct contributions of the caudate nucleus, rostral prefrontal cortex, and parietal cortex to the execution of instructed tasks. Cognitive, Affective, & Behavioral Neuroscience, 12, 611-628.

Five principles for studying people’s use of heuristics

Choice and Strategy Selection Comments Off

Marewski, J. N., Schooler, L. J., & Gigerenzer, G. (2010). Five principles for studying people’s use of heuristics. Acta Psychologica Sinica, 42, 72-87

Recognition-based judgments and decisions: What we have learned (so far)

Choice and Strategy Selection No Comments »

Marewski, J. N., Pohl, R.F., & Vitouch, O. (2011). Recognition-based judgments and decisions: What we have learned (so far). Judgment and Decision Making, 6, 359–380

Four challenges for cognitive research on the recognition heuristic and a call for a research strategy shift

Choice and Strategy Selection No Comments »

Tomlinson, T., Marewski, J. N., & Dougherty, M. R. (2011). Four challenges for cognitive research on the recognition heuristic and a call for a research strategy shift. Judgment and Decision Making, 6, 89-99.

On the theoretical precision, and strategy selection problem of a single-strategy approach: A comment on Glöckner, Betsch, and Schindler

Choice and Strategy Selection Comments Off

Marewski, J. N. (2010). On the theoretical precision, and strategy selection problem of a single-strategy approach: A comment on Glöckner, Betsch, and Schindler. Journal of Behavioral Decision Making, 23, 463-467

Recommender systems for literature selection: A competition between decision making and memory models

Choice and Strategy Selection, User Modeling No Comments »

Van Maanen, L., & Marewski, J. N. (2009). Recommender systems for literature selection: A competition between decision making and memory models. In N.A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 2914-2919). Austin, TX: Cognitive Science Society.

Cognitive Niches: An ecological model of strategy selection

Architecture, Choice and Strategy Selection, Time Perception Comments Off

Marewski, J. N., & Schooler, L. J. (2011). Cognitive Niches: An ecological model of strategy selection. Psychological Review, 118, 393-437.

Using a cognitive architecture to specify and test process models of decision making

Choice and Strategy Selection Comments Off

Mehlhorn, K., & Marewski, J. N. (2011). Using a cognitive architecture to specify and test process models of decision making. Proceedings of the Interdisciplinary Workshop on Cognitive Neuroscience, Educational Research and Cognitive Modeling. Delmenhorst, Germany.

Revealing hidden structure by explicit rule-instruction versus scaffolded example

Intelligent Tutoring Systems, Learning by Exploration and Demonstration, Mathematical Problem Solving Comments Off

Lee, H. S., Betts, S. & Anderson, J. R. (under review). Revealing hidden structure by explicit rule-instruction versus scaffolded example.

Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis

Computer Generated Forces, Video Games, and Agents, fMRI Comments Off

Anderson, J. R., Bothell, D., Fincham, J. M., Anderson, A. R., Poole, B. & Qin, Y. (2011). Brain Regions Engaged by Part- and Whole-task Performance in a Video Game: A Model-based Test of the Decomposition Hypothesis. Journal of Cognitive Neuroscience, 23, 3983-3997.

The evolution of a goal-directed exploration model: Effects of information scent and go-back utility on successful exploration

Comparative (Architectures), Information Search No Comments »

Teo, L. & John, B. E. (2010). The evolution of a goal-directed exploration model: Effects of information scent and go-back utility on successful exploration. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 253-258). Philadelphia, PA: Drexel University.

Memory and Contextual Change in Causal Learning

Causal Learning No Comments »

Drewitz, U. & Brandenburg, S. (2012). Memory and Contextual Change in Causal Learning. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

An ACT-R approach to reasoning about spatial relations with preferred and alternative mental models

Spatial Reasoning and Navigation No Comments »

Brüssow, S., Frorath, M., Ragni, M., & Fangmeier, T. (2012). An ACT-R approach to reasoning about spatial relations with preferred and alternative mental models. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Modeling behavioral of attention-deficit-disorder patients in a N-back task

Working Memory No Comments »

Kottlors, J., Brand, D., & Ragni, M. (2012). Modeling behavioral of attention-deficit-disorder patients in a N-back task. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

A cognitive model of drivers attention

Driving and Flying Behavior No Comments »

Haring, K., Ragni, M., & Konieczny, L. (2012). A cognitive model of drivers attention. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Towards pinpointing the neural correlates of ACT-R: A conjunction of two model-based fMRI analyses

fMRI No Comments »

Borst, J. & Anderson, J., R, (2012). Towards pinpointing the neural correlates of ACT-R: A conjunction of two model-based fMRI analyses. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Choices, choices: Task selection preference during concurrent multitasking

Interference, Multi-Tasking Comments Off

Nijboer, M., Taatgen. N., van Rijn, H. (2012). Choices, choices: Task selection preference during concurrent multitasking. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Relating ACT-R buffer activation to EEG activity during an attentional blink task

Attention No Comments »

van Vugt, M. (2012). Relation ACT-R buffer activation to EEG activity during an attentional blink task. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

ACTR-QN: Integration queueing network and ACT-R cognitive architectures

Uncategorized Comments Off

Cao, S. & Liu, Y. (2012). ACTR-QN: Integration queueing network and ACT-R cognitive architectures. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Pre-attentive and attentive vision module

Visual Search No Comments »

Nyamsuren, E. & Taatgen, N. (2012). Pre-attentive and attentive vision module. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Modeling representational shifts in learning the number line

Cognitive Arithmetic No Comments »

Lende, L. K. & Taatgen, N. (2012). Modeling representation shifts in learning the number line. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Cognitive Robotics: Analysis of preconditions and implementation of a cognitive robotic system for navigation tasks

Spatial Reasoning and Navigation No Comments »

Bennati, S. & Ragni, M. (2012). In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Towards optimal payoff manipulations

Multi-Tasking No Comments »

Janssen, C., Howes, A., & Brumby, D. (2012) Towards optimal payoff manipulations. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Explorations in ACT-R based language analysis – Memory chunk activation, retrieval and verification without inhibition

Sentence Memory No Comments »

Ball, J. (2012). Explorations in ACT-R based language analysis – Memory chunk activation, retrieval and verification without inhibition. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

A framework for task accomplishment using an ACT-R simulation

Errors No Comments »

Beckmann, M., Yilmaz, U., Pöhler, G., & Wegerich, A. (2012). A framework for task accomplishment using an ACT-R simulation. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

An ACT-R model of credibility judgment of micro-blogging web pages

Choice and Strategy Selection No Comments »

Liao, Q. V., Pirolli, P., & Fu. W.-T. (2012). An ACT-R model of credibility judgment of micro-blogging web pages.In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

How WM load influences pronoun interpretation

Lexical and General Language Processing, Working Memory No Comments »

van Rij. J., van Rijn, H., & Hendriks, P. (2012). How WM load influences pronoun interpretation. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

SimPilot: An exploration of modeling a highly interactive task with delayed feedback in a multitasking environment

Multi-Tasking No Comments »

Schoelles, M. & Gray, W. (2012). SimPilot: An exploration of modeling a highly interactive task with delayed feedback in a multitasking environment. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

An account of cognitive flexibility and inflexibility for a complex dynamic task

Choice and Strategy Selection No Comments »

Orendain, A. O. & Wood, S. (2012). An account of cognitive flexibility and inflexibility for a complex dynamic task. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Cognitive modelling of early music reading skill acquisition for piano

Skill Acquisition No Comments »

Emond, B. & Comeau, G. (2012). Cognitive modelling of early music reading skill acquisition for piano. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

A cognitive architecture-based model of graph comprehension

User Modeling No Comments »

Peebles, D. (2012). A cognitive architecture-based model of graph comprehnsion. In N. Rußwinkel, U. Drewitz & H. van Rijn (eds.), Proceedings of the 11th International Conference on Cognitive Modeling, Berlin: Universitaetsverlag der TU Berlin.

Incorporating Mental Simulation for a More Effective Robotic Teammate

Spatial Reasoning and Navigation Comments Off

Kennedy, W.G., Bugajska, M.D., Adams, W., Schultz, A.C., and Trafton, J.G. (2008) Incorporating Mental Simulation for a More Effective Robotic Teammate. In Proceedings of the Twenty-Third Conference on Artificial Intelligence (pg 1300-1305). Chicago, IL: AAAI Press. (Available from http://www.mllab.com)

How long is a moment: The perception and reality of task-related absences

Time Perception No Comments »

Kennedy, W.G. and Trafton, J.G. (2011) How long is a moment: The perception and reality of task-related absences. International Journal of Social Robotics 3(3), pp 243-252.

Achieving efficient and cognitively plausible learning in backgammon

Game Playing Comments Off

Sanner, S., Anderson, J. R., Lebiere, C., & Lovett, M. (2000). Achieving efficient and cognitively plausible learning in backgammon. In Proceedings of the Seventeenth International Conference on Machine Learning (pp. 823-830). San Francisco: Morgan Kaufmann.

A rational analysis of memory predicts left prefrontal activation during controlled retrieval

fMRI, Updating Memory and Prospective Memory Comments Off

Danker, J. F., Gunn, P. & Anderson, J. R. (2008). A rational account of memory predicts left prefrontal activation during controlled retrieval. Cerebral Cortex, 18, 2674-2685.

ICCM Symposium on Cognitive Modeling of Processes “Beyond Rational”

Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Kennedy, W.G., Ritter, F. E., Juvina, I., Gratch, J. & Young, R. M. (2012). ICCM Symposium on Cognitive Modeling of Processes “Beyond Rational” In Proceedings of the 11th International Conference on Cognitive Modeling (ICCM). Berlin, Germany. 12-15 April 2012.

Goal-proximity decision making

Choice and Strategy Selection Comments Off

Veksler, V. D., Gray, W. D., & Schoelles, M. S. (submitted). Goal-Proximity Decision Making. Cognitive Science.

Decay versus interference: A new look at an old interaction

Interference Comments Off

Altmann, E. M. & Schunn, C. D. (2012). Decay versus Interference: A new look at an old interaction. Psychological Science, 23 (11), 1435-1437.

Modeling intuitive decision making in ACT-R

Implicit Learning Comments Off

Kennedy, W.G. & Patterson, R.E. (2012) Modeling Intuitive Decision Making in ACT-R. In Proceedings of the 11th International Conference on Cognitive Modeling (ICCM). Berlin, Germany. 12-15 April 2012.

“Like-Me” Simulation as an Effective and Cognitively Plausible Basis for Social Robotics

Comparative (Inter-species), Computer Generated Forces, Video Games, and Agents No Comments »

Kennedy, W.G., Bugajska, M. D., Harrison, A. M., & Trafton, J. G. (2009). “Like-Me” Simulation as an Effective and Cognitively Plausible Basis for Social Robotics. International Journal of Social Robotics, 1, 181-194.

Using simulations to model shared mental models

Computer Generated Forces, Video Games, and Agents, Spatial Reasoning and Navigation Comments Off

Kennedy, W.G., & Trafton, J.G. (2007) Using Simulations to Model Shared Mental Models. In Proceedings of the 8th International Conference on Cognitive Modeling Ann Arbor, Michigan, USA.

Towards adding a physiological substrate to ACT-R

Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Dancy, C. L., Ritter, F. E., & Berry, K. (2012). Towards adding a physiological substrate to ACT-R. In Proceedings of the 21st Conference on Behavior Representation in Modeling and Simulation, 78-85. Amelia Island, FL.

Checking the ACT-R/Brain Mapping Hypothesis with a complex task: Using fMRI and Bayesian identification in a multi-dimensional strategy space

fMRI No Comments »

Möbus, C., Lenk, J. C., Özyurt, J., Thiel, C. M., & Claassen, A. (2011). Checking the ACT-R/Brain Mapping Hypothesis with a complex task: Using fMRI and Bayesian identification in a multi-dimensional strategy space. Cognitive Systems Research, In Press, Date accepted 24 Nov. 2010, Corrected Proof, available online 6 Jan 2011.

When, What, and How much to reward in Reinforcement Learning based Models of Cognition

Choice and Strategy Selection, Implicit Learning, Reinforcement Learning, Skill Acquisition Comments Off

Janssen, C.P. & Gray, W.D. (2012) When, What, and How Much to Reward in Reinforcement Learning based Models of Cognition. Accepted for Cognitive Science, 36(2), 333-358.

The Algebraic Brain

fMRI, Mathematical Problem Solving Comments Off

Anderson, J. R. (2007). The Algebraic Brain. In Gluck, M. A., Anderson, J. R , & Kosslyn, S. M. (Eds.). Memory and Mind: A Festschrift for Gordon H. Bower. New Jersey: Lawrence Erlbaum Associates.

Using brain imaging to track problem-solving in a complex state space.

fMRI Comments Off

Anderson, J. R., Fincham, J. M., Schneider, D. W., & Yang, J. (2012). Using brain imaging to track problem-solving in a complex state space. NeuroImage, 60, 633-643.

Modeling fan effects on the time course of associative recognition

Architecture, Interference Comments Off

Schneider, D. W., & Anderson, J. R. (2012). Modeling fan effects on the time course of associative recognition. Cognitive Psychology, 64, 127-160.

Executive control of retrieval in noun and verb generation

Uncategorized No Comments »

Del Missier, F. & Crescentini, C. (2011). Executive control of retrieval in noun and verb generation. Cognitive Systems Research, 12(1), 45-55.

Learning from delayed feedback: neural responses in temporal credit assignment

Reinforcement Learning, User Modeling No Comments »

Walsh, M.M., & Anderson, J.R. (2011). Learning from delayed feedback: Neural responses in temporal credit assignment. Cognitive, Affective, and Behavioral Neuroscience, 11, 131-143.

Modulation of the feedback-related negativity by instruction and experience

Reinforcement Learning No Comments »

Walsh, M. M. & Anderson, J. R. (2011) Modulation of the feedback-related negativity by instruction and experience. Proceedings of the National Academy of Science U.S.A, 108 (47), 19048-19053.

Tracking children’s mental states while solving algebra equations

fMRI, Intelligent Tutoring Systems, Mathematical Problem Solving, User Modeling Comments Off

Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (2012). Tracking children’s mental states while solving algebra equations. Human Brain Mapping . 33(11), 2650-65.

Checking the Brain Mapping Hypothesis: Predicting and Validating BOLD Curves for a Complex Task Using ACT-R

fMRI No Comments »

Möbus, C., Lenk, J. C., Claassen, A., Özyurt, J., & Thiel, C. (2010). Checking the Brain Mapping Hypothesis: Predicting and Validating BOLD Curves for a Complex Task Using ACT-R. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 163-168). Philadelphia, PA: Drexel University.

Beyond the null ritual: Formal modeling of psychological processes

User Modeling No Comments »

Marewski, J. N., & Olsson, H. (2009). Beyond the null ritual: Formal modeling of psychological processes. Zeitschrift für Psychologie/Journal of Psychology, 217, 49-60.

Racing for the city: The recognition heuristic and compensatory alternatives

Choice and Strategy Selection No Comments »

Mehlhorn, K. & Marewski, J. N. (2011). Racing for the city: The recognition heuristic and compensatory alternatives. In L. Carlson, C. Hölscher, & T. Shipley (Eds.), Proceedings of the 33st Annual Conference of the Cognitive Science Society (pp. 360-365). Austin, TX: Cognitive Science Society.

Qualitative and quantitative reasoning and instance-based learning in spatical orientation

Spatial Reasoning and Navigation No Comments »

Gunzelmann, G. & Lyon, D. R. (2006). Qualitative and quantitative reasoning and instance-based learning in spatial orientation. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 303-308 ) . Vancouver, British Columbia, Canada.

From fMRI Data To Cognitive Models: Testing the ACT-R Brain Mapping Hypothesis with an Ex-Post Model

fMRI, User Modeling No Comments »

Lenk, J. C., Möbus, C., Özyurt, J. Margarete, C., & Claassen, A. (2011). From fMRI Data To Cognitive Models: Testing the ACT-R Brain Mapping Hypothesis with an Ex-Post Model. In The Third International Conference on Advanced Cognitive Technologies and Applications (pp. 13-18). Rome, Italy.

From Recognition to Decisions: Extending and Testing Recognition-Based Models for Multi-Alternative Inference

Choice and Strategy Selection No Comments »

Marewski, J. N., Gaissmaier, W., Schooler, L. J., Goldstein, D. G., & Gigerenzer, G. (2010). From Recognition to Decisions: Extending and Testing Recognition-Based Models for Multi-Alternative Inference. Psychonomic Bulletin & Review, 17, 287-309.

Using the ACT-R architecture to specify 39 quantitative process models of decision making

Choice and Strategy Selection No Comments »

Marewski, J. N., & Mehlhorn, K. (2011). Using the ACT-R architecture to specify 39 quantitative process models of decision making. Judgment and Decision Making, 6, 439-519.

The neural correlates of competition during memory retrieval are modulated by attention to the cues

fMRI No Comments »

Danker, J. F., Fincham, J. M., & Anderson, J. R. (2011). The neural correlates of competition during memory retrieval are modulated by attention to the cues. Neuropsychologia, 49, 2427-2438.

Notes on teaching ACT-R modeling

Architecture Comments Off

Kennedy, W. G. (2011). Notes on teaching ACT-R modeling. Retrieved from http://act-r.psy.cmu.edu/publications/pubinfo.php?id=1006

Integrating fast and slow cognitive processes

Choice and Strategy Selection No Comments »

Kennedy, W. G. & Bugajska, M. (2010). Integrating fast and slow cognitive processes. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 121-126). Philadelphia, PA: Drexel University.

Using brain imaging to track student problem solving

fMRI, Mathematical Problem Solving Comments Off

Anderson, J. R., Betts, S. A., Ferris, J. L., Fincham, & J. M., Yang, J. (2012). Using Brain Imaging to Track Student Problem solving.IEEE Intelligent Systems, 60, 633-643.

Tracking problem solving by multivariate pattern analysis and hidden markov model algorithms

fMRI, User Modeling Comments Off

Anderson, J. R. (2012). Tracking problem solving by multivariate pattern analysis and hidden markov model algorithms. Neuropsychologia, 50, 487-498.

Metacognition and multiple strategies in a cognitive model of online control

Choice and Strategy Selection, User Modeling No Comments »

Reitter, D. (2010). Metacognition and multiple strategies in a cognitive model of online control. Journal of Artificial General Intelligence, 2(2), 20-37.

How can we design effective instructions to promote transfer?

Intelligent Tutoring Systems, Mathematical Problem Solving No Comments »

Lee, H. S., Betts, S. A. & Anderson, J. R. (2011). How can we design effective instructions to promote transfer? paper to be presented at the annual meetings of the Society for Research on Educational Effectiveness (SREE), September 8-11, 2011, Washington, D.C.

Cognitive and Metacognitive Activity in Mathematical Problem Solving: Prefrontal and Parietal Patterns

fMRI, Mathematical Problem Solving Comments Off

Anderson, J. R.,Betts, S. A., Ferris, J. L., & Fincham, J. M. (2011). Cognitive and metacognitive activity in mathematical problem solving: Prefrontal and parietal patterns.Cognitive, Affective, and Behavioral Neuroscience, 11, 52-67.

Can neural imaging be used to investigate learning in an edutational task?

fMRI, Intelligent Tutoring Systems, Mathematical Problem Solving Comments Off

Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (2013). Can neural imaging be used to investigate learning in an educational task? In J. Stazewski (Ed.) Expertise and skill acquisition: The impact of William G. Chase (pp. 299-324). Taylor and Francis: New York.

Conditional routing of information to the cortex: A network model of basal ganglia function

Architecture, Skill Acquisition Comments Off

Stocco, A., Lebiere, C., & Anderson, J. R. (2010). Conditional routing of information to the cortex: A model of the basal ganglia’s role in cognitive coordination. Psychological Review, 117(2), 540-574.

The ghosts of brain states past: Remember reactivates the brain regions engaged during encoding

fMRI, Working Memory No Comments »

Danker, J. F. & Anderson, J. R. (2010). The ghosts of brain states past: Remembering reactivates the brain regions engaged during encoding. Psychological Bulletin, 136, 87-102.

How to Assess ACT-R Models Predicting BOLD Curves for a Complex Problem

fMRI No Comments »

Lenk, J.C., Möbus, C., Özyurt, J., Thiel, C.M., & Claassen, A. (2011). How to Assess ACT-R Models Predicting BOLD Curves for a Complex Problem, In J. Özyurt, A. Anschütz, S. Bernholt, J. Lenk (eds.), Interdisciplinary Perspectives on Cognition, Education and the Brain, Hanse Studies, Vol. 7, Hanse-Wissenschaftskolleg (HWK), (pp.219-228)Institute for Advanced Study, Oldenburg: BIS-Publisher.

Impact of Affective and Informative Feedback on Learning in Children before and after a Reattribution Training An Integrated Approach using Neuroimaging, Educational Research, and Modelling

User Modeling No Comments »

Anschütz, A., Bernholt, S., Özyurt, J., Lenk, J., Moschner, B., Parchmann, I., Möbus, C., & Thiel, C.M. (2011). Impact of Affective and Informative Feedback on Learning in Children before and after a Reattribution Training An Integrated Approach using Neuroimaging, Educational Research, and Modelling. In J. Özyurt, A. Anschütz, S. Bernholt, & J. Lenk (eds.), Interdisciplinary Perspectives on Cognition, Education and the Brain, Hanse Studies, Vol. 7, Hanse-Wissenschaftskolleg (HWK)(pp. 25-35), Institute for Advanced Study: Oldenburg: BIS-Publisher.

Towards cognitive models of communication and group intelligence

Communication, Negotiation, and Group Decision Making No Comments »

Reitter, D.& Lebiere, C. (2001). Towards cognitive models of communication and group intelligence. In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society (pp.734-739). Boston, MA, July 2011.

A computational cognitive model of syntactic priming

Parsing, Sentence Memory Comments Off

Reitter, D., Keller, F., Moore, J. D. (2011).A computational cognitive model of syntactic priming.Cognitive Science, 35(4), 587-637.

Strategic adaptation to performance objectives in a dual-task setting

Choice and Strategy Selection, Driving and Flying Behavior, Multi-Tasking, Skill Acquisition Comments Off

Janssen, C.P. & Brumby, D.P. (2010). Strategic Adaptation to Performance Objectives in a Dual-Task Setting. Cognitive Science, 34(8), 1548+1560.

Interference and ACT-R: new evidence from the fan effect

Interference, Updating Memory and Prospective Memory No Comments »

West, R. L., Pyke, A. A., Rutledge-Taylor, M. F., & Lang, H. (2010). Interference and ACT-R: New evidence from the fan effect. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 277-281). Philadelphia, PA: Drexel University.

Using a model to compute the optimal schedule of practice

Practice and Retention Comments Off

Pavlik, P.I. & Anderson, J. R. (2008). Using a model to compute the optimal schedule of practice. Journal of Experimental Psychology: Applied, 14, 101-117.

Using fMRI to Test Models of Complex Cognition

fMRI Comments Off

Anderson, J. R., Carter, C. S., Fincham, J. M., Qin,. Y., Ravizza, S. M., & Rosenberg-Lee, M. (2008). Using fMRI to Test Models of Complex Cognition. Cognitive Science, 32, 1323-1348.

Interpretation-Based Processing: A Unified Theory of Semantic Sentence Processing

Analogy and Metaphor Comments Off

Budiu, R. & Anderson, J. R. (2004). Interpretation-Based Processing: A Unified Theory of Semantic Sentence Processing. Cognitive Science 28, 1-44.

Too much control can hurt: A threaded cognition model of the attentional blink

Multi-Tasking Comments Off

Taatgen, N.A., Juvina, I., Schipper, M., Borst, J.P., & Martens, S. (2009). Too Much Control can Hurt: A Threaded Cognition Model of the Attentional Blink. Cognitive Psychology, 59(1), 1-29.

Evading a Multitasking Bottleneck: Presenting Intermediate Representations in the Environment

Multi-Tasking, Situational Awareness and Embedded Cognition No Comments »

Buwalda, T.A., Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2011). Evading a Multitasking Bottleneck: Presenting Intermediate Representations in the Environment. In Proceedings of the 33st Annual Conference of the Cognitive Science Society. Cognitive Science Society.

A Model of Political Information-Processing and the Emergence of Cooperation in the Repeated Prisoner’s Dilemma

Communication, Negotiation, and Group Decision Making Comments Off

Kim, Sung-youn. (2011). A Model of Political Information-Processing and the Emergence of Cooperation in the Repeated Prisoner’s Dilemma. Journal of Theoretical Politics.

A Model of Political Judgment: An Agent-based Simulation of Candidate Evaluation

Communication, Negotiation, and Group Decision Making, Computer Generated Forces, Video Games, and Agents No Comments »

Kim, Sung-youn. (2011). A Model of Political Judgment: An Agent-based Simulation of Candidate Evaluation. Journal of Artificial Societies and Social Simulation, 14 (2).

A model of citizens as motivated reasoner: Modeling the 2000 Presidental Election

Communication, Negotiation, and Group Decision Making No Comments »

Kim, Sung-youn, Taber, C., & Lodge, M. (2010). A model of citizens as motivated reasoner: Modeling the 2000 Presidential Election. Political Behavior 32(1).

Evidence against a semanitc-episodic distinction

Sentence Memory No Comments »

Anderson, J. R., & Ross, B. H. (1980). Evidence against a semantic-episodic distinction. Journal of Experimental Psychology: Human Learning and Memory, 6, 441-466.

How groups develop a specialized domain vocabulary: A cognitive multi-agent model

Computer Generated Forces, Video Games, and Agents, Language Learning No Comments »

Reitter, D. & Lebiere, C. (2011). How groups develop a specialized domain vocabulary: A cognitive multi-agent model. Cognitive Systems Research, 12, 175-185.

Validating computational cognitive process models across multiple timescales

User Modeling No Comments »

Myers, C., Gluck, K. A., Gunzelmann, G., & Krusmark, M. (2010). Validating computational cognitive process models across multiple timescales. Journal of Artificial General Intelligence, 2(2), 108-127.

Exploration for understanding in cognitive modeling

User Modeling Comments Off

Gluck, K. A., Stanley, C. T., Moore, L. R., Reitter, D., & Halbrugge, M. (2010). Exploration for understanding in cognitive modeling. Journal of Artificial General Intelligence,2(2), 88-107.

Space Fortress Navigation Instructions

Uncategorized No Comments »

Constrained functionality: Application of the ACT-R cognitive architecture to the AMBR modeling comparison

User Modeling Comments Off

Lebiere, C. (2005). Constrained functionality: Application of the ACT-R cognitive architecture to the AMBR modeling comparison. In K. A. Gluck and R. Pew, editors, Modeling Human Behavior With Integrated Cognitive Architectures, Mahwah, NJ: Erlbaum.

Using Brain imaging to guide the development of a cognitive architecture.

Architecture, fMRI Comments Off

Anderson, J. R. (2007). Using brain imaging to guide the development of a cognitive architecture. In W. D. Gray (Ed.), Integrated Models of Cognitive Systems (pp. 49-62).New York, NY: Oxford University Press.

Modelling dynamic decision making with the ACT-R Cognitive Architecture

Dynamic Systems, User Modeling Comments Off

Peebles, D. & Banks, A. (2010). Modelling dynamic decision making with the ACT-R cognitive architecture. Journal of Artificial General Intelligence, 2(5), 52-68.

The synthetic teammate project

User Modeling No Comments »

Ball, J., Myers, C., Heiberg, A., Cooke, N.J., Matessa, M., Freiman, M., Rodgers, S. (2010). The synthetic teammate project. Computational and Mathematical Organization Theory, 16(3), 271-299.

Improving the reading rate of double-r language

Language Learning No Comments »

Freiman, M. & Ball, J. (2010). Improving the reading rate of double-r language. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 67-72). Philadelphia, PA: Drexel University.

Toward a Functional Model of Human Language Processing

Language Learning, Lexical and General Language Processing No Comments »

Ball, J., Freiman, M., Rodgers, S., & Myers, C. (2010). Toward a Functional Model of Human Language Processing. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR.

Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System

fMRI, Intelligent Tutoring Systems No Comments »

Fincham, J.M., Anderson, J.R., Betts, S.A., & Ferris, J.L. (2010). Using Neural Imaging and Cognitive Modeling to Infer Mental States while Using an Intelligent Tutoring System. In Proceedings of the Third International Conference on Educational Data Mining (EDM2010). Pittsburgh, PA.

The role of the anterior prefrontal-basal ganglia circuit as a biological instruction interpreter

fMRI, Instructional Materials No Comments »

Stocco, A., Lebiere, C., O’Reilly, R. C., & Anderson, J. R. (2010). The role of the anterior prefrontal-basal ganglia circuit as a biological instruction interpreter. In A. V. Samsonovich, K. R. Jóhannsdóttir, A. Chella, & B. Goertzel (Eds.) Biologically Inspired Cognitive Architectures 2010. Frontiers in Artificial Intelligence and Applications, (pp. 153-162). Amsterdam, The Netherlands: IOS Press.

A memory-based model of Hick’s law

Interference Comments Off

Schneider, D. W., & Anderson, J. R. (2011). A memory-based model of Hick’s law. Cognitive Psychology, 62, 193–222.

Adaptive Information Indexing in Re-finding Information

Information Search No Comments »

Moon. M. J. & Fu, W.-T.(2010). Adaptive Information Indexing in Re-finding Information. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR.

Solving induction problems in mathematics: Not-so-trivial pursuit

Mathematical Problem Solving No Comments »

Haverty, L. A., Koedinger, K. R., Klahr, D., & Alibali, M. W. (2000). Solving induction problems in mathematics: Not-so-trivial pursuit. Cognitive Science, 24, (2), 249-298.

A cognitive model of spatial path planning

Choice and Strategy Selection, Spatial Reasoning and Navigation, Visual Search Comments Off

Reitter, D. & Lebiere, C. (2010). A cognitive model of spatial path planning. Computational and Mathematical Organization Theory, 16(3):220-245.

Accountable modeling in ACT-UP, a sclable, rapid-prototyping ACT-R implementation

Architecture, Visual Search No Comments »

Reitter, D. & Lebiere, C. (2010). Accountable modeling in ACT-UP, a sclable, rapid-prototyping ACT-R implementation. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 199-204). Philadelphia, PA: Drexel University.

Multi-tasking and cognitive workload in an ACT-R model of a simplified air traffic control task

Dynamic Systems No Comments »

Lebiere, C, Anderson, J. R., & Bothell, D. (2001). Multi-tasking and cognitive workload in an ACT-R model of a simplified air traffic control task. In Proceedings of the Tenth Conference on Computer Generated Forces and Behavior Representation. Norfolk, VA.

Modeling Learning Effects in Mobile Texting

Graphical User Interfaces, User Modeling No Comments »

Das, A., & Stuerzlinger, W. (2008). Modeling Learning Effects in Mobile Texting. In Proceedings of the International Conference on Mobile and Ubiquitous Multimedia: MUM 2008 (pp. 154-161). Umea, Sweden.

A cognitive simulation model for novice text entry on cell phone keypads

Graphical User Interfaces, User Modeling No Comments »

Das, A., & Stuerzlinger, W. (2007). A Cognitive Simulation Model for Novice Text Entry on Cell Phone Keypads. In Proceedings of the European Conference on Cognitive Ergonomics: ECCE 2007 (pp. 141-147). London, UK.

Proactive interference in location learning: A new closed-form approximation

Declarative Memory, Graphical User Interfaces, Interference No Comments »

Das, A. & Stuerzlinger, W. (2010). Proactive interference in location learning: A new closed-form approximation. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 37-42). Philadelphia, PA: Drexel University.

Left ventrolateral prefrontal activity during retrieval precisely reflects the difficulty of accessing information in memory

fMRI, Updating Memory and Prospective Memory No Comments »

Danker, J. & Anderson, J. R. (submitted). Left ventrolateral prefrontal activity during retrieval precisely reflects the difficulty of accessing information in memory. Cerebral Cortex.

“Hello Java”: Linking ACT-R 6 with a Java Simulation

Other, Tools Comments Off

Büttner, P. (2010). “Hello Java”: Linking ACT-R 6 with a Java Simulation. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 289-290). Philadelphia, PA: Drexel University.

LETF: A Lisp-Based Exploratory Testing Framework for Computational Cognitive Models

User Modeling Comments Off

Stanley, C. T. (2010). LETF: A Lisp-Based Exploratory Testing Framework for Computational Cognitive Models. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 297-298). Philadelphia, PA: Drexel University.

Modeling strategies in Stroop with a general architecture of executive control

Interference No Comments »

Smolen, T. & Chuderski, A. (2010). Modeling strategies in Stroop with a general architecture of executive control. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 931-936). Austin, TX: Cognitive Science Society.

Predicting Students’ Retention of Facts from Feedback during Study

Practice and Retention, User Modeling No Comments »

Lindsey, R., Lewis, O., Pashler, H., & Mozer, M. (2010). Predicting Students’ Retention of Facts from Feedback during Study. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR.

Topical Relevance and Information Quality in Cognitive Models of Web Search Behavior: Introducing Epistemic Scent into Information Foraging Theory

Information Search No Comments »

Gerjets, P. & Kammerer, Y. (2010). Topical Relevance and Information Quality in Cognitive Models of Web Search Behavior: Introducing Epistemic Scent into Information Foraging Theory. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR.

An ACT-R List Learning Representation for Training Prediction

List Memory No Comments »

Matessa, M. (2010). An ACT-R List Learning Representation for Training Prediction. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR.

Visual Similarity is ObViS

Visual Search No Comments »

Brudzinski, M., Sims, C., Gray, W., & Schoelles, M. (2010). Visual Similarity is ObViS. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR.

A computational model for the acquisition of referring subjects in discourse

Language Learning Comments Off

van Rij, J., van Rijn, H., & Hendriks, P. (2010). A computational model for the acquisition of referring subjects in discourse. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR.

Testing fMRI predictions of a Cognitive Model of the Problem State Multitasking Bottleneck

fMRI, Multi-Tasking No Comments »

Borst, J., Taatgen, N. A., van Rijn, H., & Stocco, A. (2010). Testing fMRI predictions of a Cognitive Model of the Problem State Multitasking Bottleneck. Poster presented at the 32nd Annual Conference of the Cognitive Science Society. Portland, OR.

Mentalizing in games: A subtractive behavioral study of Prisoner’s Dilemma

Communication, Negotiation, and Group Decision Making Comments Off

Napoli, A. & Fum, D. (2010). Mentalizing in games: A subtractive behavioral study of Prisoner’s Dilemma. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 338-343). Austin, TX: Cognitive Science Society.

Cognition for action: an architectural account for “grounded interaction”

User Modeling, Visual Search No Comments »

Harrison, A. & Trafton, J. G. (2010). Cognition for action: an architectural account for “grounded interaction”. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 246-251). Austin, TX: Cognitive Science Society.

Teaching Students Self-Assessment and Task-Selection Skills with Video-Based Modeling Examples

Learning by Exploration and Demonstration Comments Off

van Gog, T., Kostons, D., & Paas, F. (2010). Teaching Students Self-Assessment and Task-Selection Skills with Video-Based Modeling Examples. In S. Ohlsson & R. Catrambone (Eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society (pp. 296-301). Austin, TX: Cognitive Science Society.

Testing a Quantitative Model of Time Estimation in a Load Switch Scenario

Time Perception No Comments »

Pape, N., & Urbas, L. (2009). Testing a Quantitative Model of Time Estimation in a Load Switch Scenario. In A. Howes, D. Peebles, R. Cooper (Eds.), 9th International Conference on Cognitive Modeling — ICCM, Manchester, UK.

A Model of Time-Estimation Considering Working Memory Demands

Time Perception, Working Memory No Comments »

Pape, N., & Urbas, L. (2008). A Model of Time-Estimation Considering Working Memory Demands. In Proceedings of the 30th Annual Cognitive Science Society (pp. 1543-1548). Austin, TX: Cognitive Science Society.

Visual search strategies and the layout of the display

Graphical User Interfaces No Comments »

Veksler, B. Z. (2010). Visual search strategies and the layout of the display. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 323-324). Philadelphia, PA: Drexel University.

Modeling of Modality Selection in Multimodal Human-Computer Interaction

Choice and Strategy Selection No Comments »

Schaffer, S. (2010). Modeling of Modality Selection in Multimodal Human-Computer Interaction. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 321-322). Philadelphia, PA: Drexel University.

Exploring a Novel Training Paradigm for Knowledge and Skills Acquisition

Practice and Retention, Skill Acquisition Comments Off

Paik, J. (2010). Exploring a Novel Training Paradigm for Knowledge and Skills Acquisition. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 319-320). Philadelphia, PA: Drexel University.

Understanding strategic adaptation in multitask settings

Comparative (Architectures), Multi-Tasking No Comments »

Janssen, C. P. (2010). Understanding strategic adaptation in multitask settings. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 309-310). Philadelphia, PA: Drexel University.

Contextual Memory for Goals: On the Role of Context, Attention, and Intention in Cognitive Control

Uncategorized No Comments »

Brudzinski, M. E.(2010). Contextual Memory for Goals: On the Role of Context, Attention, and Intention in Cognitive Control. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 301-302). Philadelphia, PA: Drexel University.

A cognitive model of the acquisition and use of referring expressions

Language Learning, Working Memory No Comments »

van Rij, J., van Rijn, H., & Hendriks, P. (2010). A cognitive model of the acquisition and use of referring expressions. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 299-300). Philadelphia, PA: Drexel University.

Towards a cognitive model of conceptual blending

Analogy and Metaphor, Instructional Materials No Comments »

Guhe, M., Smaill, A., & Pease, A. (2010). Towards a cognitive model of conceptual blending. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 293-304). Philadelphia, PA: Drexel University.

Locating the Neural Correlates of the Problem State Resource: Analyzing fMRI Data on the Basis of a Computational Model

fMRI No Comments »

Borst, J., Taatgen, N. A., & van Rijn, H. (2010). Locating the Neural Correlates of the Problem State Resource: Analyzing fMRI Data on the Basis of a Computational Model. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 287-288). Philadelphia, PA: Drexel University.

An Online Database of ACT-R Parameters: Towards a Transparent Community-Based Approach to Model Development

Uncategorized No Comments »

Wong, T. J., Cokely, E. T., & Schooler, L. J. (2010). An Online Database of ACT-R Parameters: Towards a Transparent Community-Based Approach to Model Development. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 282-286). Philadelphia, PA: Drexel University.

Neural correlates of temporal credit assignment

Reinforcement Learning No Comments »

Walsh, M. M. & Anderson, J. R. (2010). Neural correlates of temporal credit assignment. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 265-270). Philadelphia, PA: Drexel University.

Solving the Credit Assignment Problem: Explicit and Implicit Learning of Action Sequences with Probabilistic Outcomes

Implicit Learning Comments Off

Fu, W.-T. & Anderson, J. (2008), Solving the Credit Assignment Problem: Explicit and Implicit Learning of Action Sequences with Probabilistic Outcomes. Psychological Research, 72 (3), 321-330.

A computational model of second-order social reasoning

Reasoning No Comments »

van Maanen, L. & Verbrugge, R. (2010). A computational model of second-order social reasoning. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 259-564). Philadelphia, PA: Drexel University.

Combining procedural and declarative knowledge in a graphical architecture

Declarative Memory, Graphical User Interfaces No Comments »

Rosenbloom, P. S. (2010). Combining procedural and declarative knowledge in a graphical architecture. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 205-2010). Philadelphia, PA: Drexel University.

Nice Graphs, Good R2, but still a poor fit? How to be more sure your model explains your data

Declarative Memory, Time Perception Comments Off

Taatgen, N. A. & van Rijn, H. (2010). Nice Graphs, Good R2, but still a poor fit? How to be more sure your model explains your data. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 247-252). Philadelphia, PA: Drexel University.

Deductive spatial reasoning: From neurological evidence to a cognitive model

fMRI, Reasoning No Comments »

Ragni, M., Fangmeier, T., & Brüssow, S. (2010). Deductive spatial reasoning: From neurological evidence to a cognitive model. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 193-198). Philadelphia, PA: Drexel University.

Cognitive modeling of the acquisition of a highly inflected verbal system

Language Learning No Comments »

Oliva, J., Serrano, J. S., Del Castillo, M. A., & Iglesias, Á. (2010). Cognitive modeling of the acquisition of a highly inflected verbal system. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 181-186). Philadelphia, PA: Drexel University.

Rewards and punishments in iterated decision making: An explanation for the frequency of the contingent event effect

Reinforcement Learning No Comments »

Napoli, A. & Fum, D. (2010). Rewards and punishments in iterated decision making: An explanation for the frequency of the contingent event effect. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 175-180). Philadelphia, PA: Drexel University.

Exploration of costs and benefits of predictive human performance modeling for design

User Modeling Comments Off

John, B. E. & Jastrzembski, T. S. (2010). Exploration of costs and benefits of predictive human performance modeling for design. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 115-120). Philadelphia, PA: Drexel University.

A cogntiive model of theory of mind

Uncategorized No Comments »

Hiatt, L. M. & Trafton, J. G. (2010). A cognitive model of theory of mind. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 91-96). Philadelphia, PA: Drexel University.

Concurrent knowledge activation caluculation in large declarative memories

Declarative Memory No Comments »

Douglass, S. A. & Myers, C. W. (2010). Concurrent knowledge activation calculation in large declarative memories. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 55-60). Philadelphia, PA: Drexel University.

Towards efficiently supporting large symbolic declarative memories

Comparative (Architectures), Declarative Memory No Comments »

Derbinsky, N., Laird, J. E., & Smith, B. (2010). Towards efficiently supporting large symbolic declarative memories. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 49-54). Philadelphia, PA: Drexel University.

Cognitive Modeling of Strategies in Dynamic Tasks

Choice and Strategy Selection No Comments »

De Obeso Orendain, A. & Wood, S. (2010). Cognitive Modeling of Strategies in Dynamic Tasks. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 43-48). Philadelphia, PA: Drexel University.

Linguistic Spatial Gestures

Language Learning, Spatial Reasoning and Navigation No Comments »

Breslow, L. A., Harrison, A. M., & Trafton, J. G. (2010). Linguistic Spatial Gestures. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 13-18). Philadelphia, PA: Drexel University.

Building large learning models with Herbal

User Modeling Comments Off

Paik, J., Kim, J. W., Ritter, F. E., Morgan, J. H., Haynes, S. R., & Cohen, M. A. (2010). Building large learning models with Herbal. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of ICCM Tenth International Conference on Cognitive Modeling (pp. 187-191). Philadelphia, PA.

Resolving the paradox of the active user: Stable suboptimal performance in interactive tasks

User Modeling Comments Off

Fu, W.-T. & Gray, W. D. (2004). Resolving the paradox of the active user: Stable suboptimal performance in interactive tasks. Cognitive Science, 28(6), 901-935.

Adaptive tradeoffs between exploration and exploitation: A rational-ecological approach

Learning by Exploration and Demonstration No Comments »

Fu, W.-T. (2007), Adaptive tradeoffs between exploration and exploitation: A rational-ecological approach. In W. D. Gray (Ed.), Integrated models of cognitive systems (pp. 165-179). New York: Oxford University Press.

Cognitive Psychology and It’s Implications: 7th Ed.

Unrelated to ACT-R No Comments »

Anderson, J. R. (2010). Cognitive Psychology and Its Implications: Seventh Edition. New York: Worth Publishing.

Characteristics of fluent skills in a complex, dynamic problem-solving task.

Dynamic Systems Comments Off

Sohn, M.-H., Douglass, S. A., Chen, M.-C., & Anderson, J. R. (2005). Characteristics of fluent skills in a complex, dynamic problem-solving task. Human Factors, 47 (4), 742-752.

The Neural Correlates of Problem States: Testing fMRI Predictions of a Computational Model of Multitasking

fMRI, Multi-Tasking No Comments »

Borst, J.P., Taatgen, N.A., Stocco, A., & Van Rijn, H. (2010). The Neural Correlates of Problem States: Testing fMRI Predictions of a Computational Model of Multitasking. PLoS ONE 5(9): e12966. doi:10.1371/journal.pone.0012966.

Modeling the effects of work shift on learning in a mental orientation and rotation task

Motivation, Emotion, Cognitive Moderators, & Performance, Spatial Reasoning and Navigation Comments Off

Halverson, T., Gunzelmann, G., Moore, L. R., & Van Dongen, H. P. A. (2010). Modeling the effects of work shift on learning in a mental orientation and rotation task. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 79-84). Philadelphia, PA: Drexel University.

Solving the credit assignment problem: The interaction of explicit and implicit learning with internal and external state information

Implicit Learning, Updating Memory and Prospective Memory Comments Off

Fu, W. T. & Anderson, J. R. (2006) Solving the credit assignment problem: The interaction of explicit and implicit learning with internal and external state information. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 238-243 ) . Vancouver, British Columbia, Canada.

The effects of work shift and strategy on an orientation task

Motivation, Emotion, Cognitive Moderators, & Performance, Practice and Retention, Spatial Reasoning and Navigation No Comments »

Halverson, T., Gunzelmann, G., Moore, L. R., & Van Dongen, H. P. A. (2010). The Effects of Work Shift and Strategy on an Orientation Task. In R. Catrambone & S. Ohlsson (Eds.), Proceedings of the Thirty-Second Annual Meeting of the Cognitive Science Society (pp. 2134-2139). Austin, TX: Cognitive Science Society.

Sleep deprivation and sustained attention performance: Integrating mathematical and cognitive modeling

Attention, Motivation, Emotion, Cognitive Moderators, & Performance Comments Off

Gunzelmann, G., Gross, J. B., Gluck, K. A., & Dinges, D. F. (2009). Sleep deprivation and sustained attention performance: Integrating mathematical and cognitive modeling. Cognitive Science, 33(5), 880-910.

Modeling statistical learning and response inhibition with the change signal task

Implicit Learning, Time Perception No Comments »

Moore, L. R., Gunzelmann, G., & Brown, J. W. (2010). Modeling statistical learning and response inhibition with the change signal task. In D. D. Salvucci & G. Gunzelmann (Eds.), Proceedings of the 10th International Conference on Cognitive Modeling (pp. 169-174). Philadelphia, PA: Drexel University.

Why do children learn to say “broke”? A model of learning the past tense without feedback.

Language Learning Comments Off

Taatgen, N.A. & Anderson, J.R. (2002). Why do children learn to say “broke”? A model of learning the past tense without feedback. Cognition, 86(2), 123-155.

Category rating is based on prototypes and not instances: Evidence from feedback-dependent context effects

Category Learning No Comments »

Petrov, A. (in press). Category rating is based on prototypes and not instances: Evidence from feedback-dependent context effects. Journal of Experimental Psychology: Human Perception and Performance.

Cognitive Modelling at the UCL Interaction Centre

Choice and Strategy Selection, Driving and Flying Behavior, Errors, Information Search, Multi-Tasking, Skill Acquisition, Use and Design of Artifacts Comments Off

Janssen, C.P., Young, R.M., Ament, G.A., Back, J., Brumby, D.P., Cox, A.L., & Grace, J. (2010). Cognitive Modelling at the UCL Interaction Centre. In Proceedings of the European ACT-R Workshop 2010. Groningen, Netherlands.

Strategic adaptation in a dual-task setting

Choice and Strategy Selection, Driving and Flying Behavior, Multi-Tasking, Skill Acquisition No Comments »

Janssen, C.P., Brumby, D.P., Dowell, J., & Chater, N. (2010). Strategic Adaptation in a Dual-Task Setting. In Proceedings of the European ACT-R Workshop 2010. Groningen, Netherlands.

Resistance is futile: Winning lemonade market share through metacognitive reasoning in a three-agent cooperative game

Game Playing, Reasoning No Comments »

Reitter, D., Juvina, I., Stocco, A., & Lebiere, C. (2010). Resistance is futile: Winning lemonade market share through metacognitive reasoning in a three-agent cooperative game. In Proceedings of the 19th Conference on Behavioral Representation in Modeling and Simulation (BRIMS). Charleston, S.C.

Cognitive architectures for human factors in aviation.

Comparative (Architectures), Driving and Flying Behavior No Comments »

Gluck, K. A. (2010). Cognitive architectures for human factors in aviation. In E. Salas & D. Maurino (Eds.) Human Factors in Aviation, 2nd Edition (pp. 375-400). New York, NY: Elsevier.

Neural Imaging to Track Mental States while Using an Intelligent Tutoring System

fMRI, Intelligent Tutoring Systems, User Modeling Comments Off

Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (2010). Neural imaging to track mental states while using an intelligent tutoring system. Proceedings of the National Academy of Science, 107(15), 7018-7023.

The problem state: A cognitive bottleneck in multitasking

Multi-Tasking No Comments »

Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2010). The Problem State: A Cognitive Bottleneck in Multitasking. Journal of Experimental Psychology: Learning, Memory, & Cognition, 36(2), 363-382.

Processing polarity: How the grammatical intrudes on the ungrammatical

Eye Movements, Parsing, Working Memory Comments Off

Vasishth, S., Brüssow, S., Lewis, R. L., & Drenhaus, H. (in press). Processing polarity: How the ungrammatical intrudes on the grammatical. Cognitive Science, 32 (4), 685-712.

Stroop and Picture-Word Interference are Two Sides of the Same Coin.

Interference, Stroop No Comments »

Van Maanen, L., Van Rijn, H., & Borst, J.P. (2009). Stroop and Picture-Word Interference are Two Sides of the Same Coin. Psychonomic Bulletin & Review, 16(6), 987-999.

The Locus of the Gratton Effect in Picture-Word Interference.

Interference, Stroop No Comments »

Van Maanen, L., & Van Rijn, H. (2010). The Locus of the Gratton Effect in Picture-Word Interference. Topics in Cognitive Science 2(1), 168-180.

Personal Publication Assistant: Abstract recommendations by a cognitive model

User Modeling No Comments »

Van Maanen, L., Van Rijn, H., Van Grootel, M., Kemna, S., Klomp, M., & Scholtens, E. (2010). Personal Publication Assistant: Abstract recommendations by a cognitive model. Cognitive Systems Research, 11(1), 120-129 (Special Issue on Brain Informatics).

An Integrative approach to understanding and predicting the consequences of fatigue on cognitive performance

Architecture, Driving and Flying Behavior, Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Gunzelmann, G., & Gluck, K. A. (2009). An Integrative approach to understanding and predicting the consequences of fatigue on cognitive performance. Cognitive Technology, 14(1), 14-25.

Cognitive tutor: Applied research in mathematics education

Intelligent Tutoring Systems, Mathematical Problem Solving No Comments »

Ritter, S., Anderson, J. R., Koedinger, K. R., & Corbett, A. (2007) Cognitive Tutor: Applied research in mathematics education. Psychonomic Bulletin & Review, 14, 249-255.

Retrograde faciliation under midazolam: The role of general and specific interference

Interference Comments Off

Reder, L. M., Oates, J. M., Dickison, D., Anderson, J. R., Gyulai, F., Quinlan, J. J., Ferris, J. L., Dulik, M., & Jefferson, B. (2007a). Retrograde faciliation under midazolam: The role of general and specific interference. Psychonomic Bulletin & Review, 14(2), 261-269.

The Roles of Prefrontal and Posterior Parietal Cortex in Algebra Problem Solving: A Case of Using Cognitive Modeling to Inform Neuroimaging Data

fMRI, Mathematical Problem Solving No Comments »

Danker, J. M. & Anderson, J. R. (2007). The Roles of Prefrontal and Posterior Parietal Cortex in Algebra Problem Solving: A Case of Using Cognitive Modeling to Inform Neuroimaging Data. NeuroImage. 35, 1365-1377.

Neural correlates of arithmetic calculation strategies

Cognitive Arithmetic, fMRI, Mathematical Problem Solving Comments Off

Rosenberg-Lee, M., Lovett, M., & Anderson, J. R. (2009). Neural correlates of arithmetic calculation strategies. Cognitive, Affective, & Behavioral Neuroscience, 9(3), 270-285.

The past, present, and future of cognitive archtiectures

User Modeling No Comments »

Taatgen, N. A. & Anderson, J. R. (2009). The Past, Present, and Future of Cognitive Architectures. topiCS in Cognitive Science, 1-12.

Practice enables succesful learning under minimal guidance

Cognitive Arithmetic, Intelligent Tutoring Systems, Practice and Retention No Comments »

Brunstein, A., Betts, S. A., & Anderson, J. R. (2009). Practice enables successful learning under minimal guidance. Journal of Educational Psychology, 101(4), 790-802.

Context Effects in Language Production: Models of Syntactic Priming in Dialogue Corpora

Lexical and General Language Processing No Comments »

Reitter, D. (2008). Context Effects in Language Production: Models of Syntactic Priming in Dialogue Corpora. Doctoral Dissertation, School of Informatics, University of Edinburgh, UK.

Balancing long-term reinforcement and short-term inhibition

Reinforcement Learning Comments Off

Lebiere, C. & Best, B. J. (2009). Balancing Long-Term Reinforcement and Short-Term Inhibition. In Proceedings of the 31st Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.

Knowledge tracing: Modeling the acquisition of procedural knowledge

Individual Differences, Intelligent Tutoring Systems, User Modeling No Comments »

Corbett, A. T. & Anderson, J. R. (1995). Knowledge tracing: Modeling the acquisition of procedural knowledge. User Modeling and User-Adapted Interaction, 4, 253-278.

Dopamine, learning, and production rules: The basal ganglia and flexible control of information transfer in the brain

Architecture Comments Off

Stocco, A., Lebiere, C., & Anderson, J. R. (2009). Dopamine, learning, and production rules: The basal ganglia and the flexible control of information transfer in the brain. In A. Samsonovich (Ed.) Biologically Inspired Cognitive Architectures II (pp. 169-175), AAAI Press.

Eye movements do not reflect retrieval

Uncategorized No Comments »

Anderson, J. R., Bothell, D., & Douglass, S. (2004) Eye movements do not reflect retrieval: Limits of the eye-mind hypotesis. Psychological Science. 15, 225-231.

Toward a real-time model-based training system

Intelligent Tutoring Systems, Skill Acquisition, User Modeling Comments Off

Fu, W.-T., Bothell, D., Douglass, S., Haimson, C., Sohn, M.-H., & Anderson, J. A. (2006), Toward a Real-Time Model-Based Training System. Interacting with Computers, 18(6), 1216-1230.

The influence of spreading activation on memory retrieval in sequantial diagnostic reasoning

Working Memory No Comments »

Böhm, U. & Mehlhorn, K. (2009). The Influence of Spreading Activation on Memory Retrieval in Sequential Diagnostic Reasoning. In Proceedings of the 9th International Conference on Cognitive Modeling. Manchester, UK.

Goal-proximity decision making: Who needs reward anyway?

Choice and Strategy Selection Comments Off

Veksler, V. D., Gray, W. D., & Schoelles, M. J. (2009). Goal-Proximity Decision Making: Who needs reward anyway? In Proceedings of the 31st Annual Meeting of the Cognitive Science Society.

Learning a song: An ACT-R model

Attention, Declarative Memory, Skill Acquisition No Comments »

Chikhaoui, B., Pigot, H., Beaudoin, M., Pratte, G., Bellefeuille, P. & Laudares, F. (2009). Learning a song: an ACT-R Model. In proceedings of the International Conference on Computational Intelligence (pp. 405-410), Oslo, Norway.

Modeling the confidence of predictions: A time based approach

Time Perception No Comments »

Drewitz, U. & Thüring, M. (2009). Modeling the cofidence of predictions: A time based approach. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 222), Manchester, United Kingdom.

A cognitive model of discovering commutativity

Analogy and Metaphor, Insight and Scientific Discovery No Comments »

Guhe, M., Pease, A., & Smaill, A. (2009). A cognitive model of discovering commutativity. In Proceedings of the 31st Annual Conference of the Cognitive Science Society( p. 727–732).

Adapting the use of attributes to the task environment in joint action: Results and a model

Implicit Learning, Lexical and General Language Processing No Comments »

Guhe, M. & Bard, E. G. (2008). Adapting the use of attributes to the task environment in joint action: Results and a model. In Proceedings of Londial – The 12th Workshop on the Semantics and Pragmatics of Dialogue, 91–98.

Generating referring expressions with a cognitive model

Implicit Learning, Lexical and General Language Processing No Comments »

Guhe, M. (2009). Generating referring expressions with a cognitive model. In Proceedings of PRE-CogSci 2009: Production of Referring Expressions: Bridging the gap between computational and empirical approaches to reference. 29th July 2009, Amsterdam.

Sleep Deprivation and Sustained Attention Performance: Integrating mathematical and cognitive modeling

Attention, Motivation, Emotion, Cognitive Moderators, & Performance Comments Off

Gunzelmann, G., Gross, J. B., Gluck, K. A., & Dinges, D. F. (2009). Sleep Deprivation and Sustained Attention Performance: Integrating Mathematical and Cognitive Modeling. Cognitive Science.

Examining sources of individual variation in sustained attention

Attention, Individual Differences, Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Gunzelmann, G., Moore, L. R., Gluck, K. A., Van Dongen, H. P. A., & Dinges, D. F. (2009). Examining sources of individual variation in sustained attention. In N. Taatgen, & H. van Rijn (Eds.), Proceedings of the Thirty-First Annual Meeting of the Cognitive Science Society (pp. 608-613). Austin, TX: Cognitive Science Society.

Using computation cognitive modeling to predict dual-task performance with sleep deprivation

Motivation, Emotion, Cognitive Moderators, & Performance, Multi-Tasking No Comments »

Gunzelmann, G., Byrne, M. D., Gluck, K. A., & Moore, L. R. (2009). Using computational cognitive modeling to predict dual-task performance with sleep deprivation. Human Factors, 51(2), 251-260.

A preliminaty ACT-R Compiler in Herbal

User Modeling No Comments »

Paik, J., Kim, J. W., & Ritter, F. E. (2009). A preliminary ACT-R Compiler in Herbal. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 117), Manchester, United Kingdom.

Rational Explanations

Comparative (Architectures) No Comments »

Anderson, J. R., Chater, N., Schooler, L., Lewis, R. L., & Brighton, H. (2009). Rational Explanations. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 100), Manchester, United Kingdom.

High-level ACT-R modeling based on SGT task models

User Modeling No Comments »

Heinath, M. (2009). High-level ACT-R modeling based on SGT task models. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 171), Manchester, United Kingdom.

Comparison of instance and strategy models in ACT-R

Choice and Strategy Selection No Comments »

Gonzalez, C., Dutt, V., Healy, A. F., Young, M. D., & Bourne, L. E., Jr. (2009). Comparison of instance and strategy models in ACT-R. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 150), Manchester, United Kingdom.

Gaze-following and awareness of visual perspective in chimpanzees

Comparative (Inter-species), Eye Movements No Comments »

Harrison, A. M. & Trafton, J. G. (2009). Gaze-following and awareness of visual perspective in chimpanzees. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 215), Manchester, United Kingdom.

A formal comparison of model variants for performance prediction

Motivation, Emotion, Cognitive Moderators, & Performance Comments Off

Jastrzembski, T. S. & Gluck, K. A. (2009). A formal comparison of model variants for performance prediction. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 258), Manchester, United Kingdom.

Performance of children on the attentional network test

Cognitive Development Comments Off

Hussain, F. & Wood, S. (2009). Performance of children on the attentional network test. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 132), Manchester, United Kingdom.

Applying occam’s razor to paper (and rock and scissors, too): Why simpler models are sometimes better

Reinforcement Learning No Comments »

Napoli, A. & Fum, D. (2009). Applying Occam’s razor to paper (and rock and scissors, too): Why simpler models are sometimes better. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 203), Manchester, United Kingdom.

Testing a quantitative model of time estimation in a load-switch scenario

Working Memory No Comments »

Pape, N. & Urbas, L. (2009). Testing a quantitative model of time estimation in a load-switch scenario. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 214), Manchester, United Kingdom.

Computational and explanatory power of cognitive architectures: The case of ACT-R

Comparative (Architectures) No Comments »

Schultheis, H. (2009). Computation and explanatory power of cognitive architectures: The case of ACT-R. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 107), Manchester, United Kingdom.

Testing fMRI predictions of a dual-task interference model

fMRI, Multi-Tasking Comments Off

Borst, J. P., Taatgen, N. A., van Rijn , D. H., Stocco, A., & Fincham, J. M. (2009). Testing fMRI predictions of a dual-task interference model. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 236), Manchester, United Kingdom.

The locus of the gratton effect in picture-word interference

Interference, Stroop No Comments »

van Maanen, L. & van Rijn D. H. (2009). The locus of the gratton effect in picture-word interference. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 187), Manchester, United Kingdom.

Towards explaining the evolution of domain languages with cognitive simulation

Language Learning No Comments »

Reitter, D. & Lebiere, C. (2009). Towards explaining the evolution of domain languages with cognitive simulation. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 176), Manchester, United Kingdom.

Passing the test: Improving learning gains by balancing spacing and testing effects

User Modeling No Comments »

van Rijn, D. H., van Maanen, L., & van Woudenberg, M. (2009).Passing the test: Improving learning gains by balancing spacing and testing effects. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 200), Manchester, United Kingdom.

A memory for goals model of sequence errors

Errors No Comments »

Trafton, J. G., Altmann, E. M., & Ratwani, R. M. (2009). A memory for goals model o sequence errors. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 225), Manchester, United Kingdom.

An embodied model of infant gaze-following

Cognitive Development, Eye Movements No Comments »

Trafton, J. G., Harrison, A. M., Fransen, B., & Bugajska, M. (2009). An embodied model of infant gaze-following. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 216), Manchester, United Kingdom.

Caffeine’s effect on appraisal and mental arthmetic performance: A cognitive modeling approach tells us more

Mathematical Problem Solving Comments Off

Kase, S. E., Ritter, F. E., Schoelles, M. (2009). Caffeine’s effect on appraisal and mental arithmetic performance: A cognitive modeling approach tells us more. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 252), Manchester, United Kingdom.

An instance-based learning model of stimulus-response compatibility effects in mixed location-relevant and location-irrelevant tasks

Reinforcement Learning No Comments »

Dutt, V., Yamaguchi, M., Gonzalez, C., & Proctor, R. W. (2009). In Proceedings of the 9th International Conference of Cognitive Modeling (paper 115), Manchester, United Kingdom.

Second-Life as a simulation environment: Rich, high-fidelity world, minus the hassles.

Computer Generated Forces, Video Games, and Agents No Comments »

Veksler, V. D. (2009). Second-Life as a simulation environment: Rich, high-fidelity world, minus the hassles. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 231), Manchester, United Kingdom.

Large declarative memories in ACT-R

Declarative Memory No Comments »

Douglass, S., Ball, J., & Rodgers, S. (2009).Large declarative memories in ACT-R. In Proceedings of the 9th International Conference of Cognitive Modeling (paper 234), Manchester, United Kingdom.

A symbolic model of human attentional networks

Situational Awareness and Embedded Cognition No Comments »

Wang, H., Fan, J., & Johnson, T. R. (2004). A symbolic model of human attentional networks. Cognitive Systems Research, 5, 119-134.

Errors of mathematical processing: The relationship of accuracy to neural regions associated with retrieval or representation of the problem state

Cognitive Arithmetic, Mathematical Problem Solving No Comments »

Ravizza, S. M., Anderson, J. R., & Carter, C. S. (2008). Errors of mathematical processing: The relationship of accuracy to neural regions associated with retrieval or representation of the problem state. Brain Research, 1238, 118-126.

The Lateral Inferior Prefrontal Cortex and Anterior Cingulate Cortex are Engaged at Different Stages in the Solution of Insight Problems

fMRI, Insight and Scientific Discovery Comments Off

Anderson, J. R., Anderson, J. F., Ferris, J. L., Fincham, J. M., & Jung, K.-J. (2009). The Lateral Inferior Prefrontal Cortex and Anterior Cingulate Cortex are Engaged at Different Stages in the Solution of Insight Problems. Proceedings of the National Academy Sciences, 106 (26), 10799-10804.

ACT-R

Architecture No Comments »

Taatgen, N.A. & Anderson, J.R. (2008). ACT-R. In R. Sun (ed.), Constraints in Cognitive Architectures. Cambridge University Press, pp 170-185.

The strategic nature of changing your mind

Choice and Strategy Selection No Comments »

Walsh, M. M. & Anderson, J. R. (2009) The strategic nature of changing your mind. Cognitive Psychology, 58, 416-440.

How Can the Human Mind Occur in the Physical Universe?

Architecture Comments Off

Anderson, J. R. (2007) How Can the Human Mind Occur in the Physical Universe? New York: Oxford University Press.

Locating the problem representation bottleneck in the brain

Multi-Tasking No Comments »

Borst, J.P., Taatgen, N.A., Stocco, A., & Van Rijn, H. (2008). Locating the Problem Representation Bottleneck in the Brain. In Proceedings of the fourteenth annual ACT-R workshop.

Toward a unified theory of multitasking continuum: From concurrent performance to taks switching, interruption, and resumption

Multi-Tasking No Comments »

Salvucci, D.D., Taatgen, N.A., & Borst, J.P. (2009). Toward a Unified Theory of the Multitasking Continuum: From Concurrent Performance to Task Switching, Interruption, and Resumption. In Human Factors in Computing Systems: CHI 2009 Conference Proceedings (pp. 1819-1828). New York: ACM Press.

Modeling triple-tasking without customized cognitive control

Multi-Tasking Comments Off

Borst, J.P., Taatgen, N.A., & Van Rijn, H. (2009). Modeling Triple-Tasking without Customized Cognitive Control. In N.A. Taatgen & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society. Cognitive Science Society.

A repetition-suppression account of between-trial effects in a modified Strop paradigm

Stroop No Comments »

Juvina, I., & Taatgen, N. A. (2009). A repetition-suppression account of between-trial effects in a modified Stroop paradigm. Acta Psychologica, 131(1), 72-84.

When minimal guidance does and does not work: Drill and kill makes discovery learning a success.

Skill Acquisition Comments Off

Brunstein, A., Betts, S. A., Anderson, J. R (unpublished). When minimal guidance does and does not work: Drill and kill makes discovery learning a success.

Can Neural Imaging Investigate Learning in an Educational Task?

Architecture, fMRI, Mathematical Problem Solving Comments Off

Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (2009). Can neural imaging investigate learning in an educational task? In proceedings of the 36th Annual Carnegie Symposium on Cognition, June 2-3, Carnegie Mellon University.

Integrating cognitive architectures with external environments: Approaches and contributions to validation.

Computer Generated Forces, Video Games, and Agents, Tools No Comments »

Gunzelmann, G., Pope, A., Wray, R., Best, B. J. & Trafton, J. G. (2008). Integrating cognitive architectures with external environments: Approaches and contributions to validation. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the Thirteenth Annual Meeting of the Cognitive Science Society (pp. 913-914). Austin, TX: Cognitive Science Society.

Using Brain Activity to Predict When Students are Engaged in Mathematical Problem Solving

Uncategorized No Comments »

Anderson, J. R., Betts, S. A., Ferris, J. L., & Fincham, J. M. (submitted). Using Brain Activity to Predict When Students are Engaged in Mathematical Problem Solving. NeuroImage.

Simulation of a human machine interaction: Locate objects using a contextual assistant

Graphical User Interfaces No Comments »

Chikhaoui, B. & Pigot, H. (2008). Simulation of a human machine interaction: locate objects using a contextual assistant. In Proceedings of the 1st International North American Simulation Technology Conference, August 13-15, Montreal Canada.

Traveling the Second Bridge: Using fMRI to Assess an ACT-R Model of Geometry Proof

Mathematical Problem Solving Comments Off

Kao, Y. S., Douglass, S. A., Fincham, J. M., & Anderson, J. R. (in revision). Traveling the Second Bridge: Using fMRI to Assess an ACT-R Model of Geometry Proof.

Errors of mathematical processing: The relationship of accuracy to neural regions associated with retrieval or representation of the problem state

Uncategorized No Comments »

Ravizza, S. M., Anderson, J. R., & Carter, C. S. (submitted). Errors of mathematical processing: The relationship of accuracy to neural regions associated with retrieval or representation of the problem state. Brain Research.

Dual learning processes in interactive skill acquitsion

Skill Acquisition No Comments »

Fu, W.-T. & Anderson, J. (2008). Dual learning processes in interactive skill acquisition. Journal of Experimental Psychology, Applied. 14 (2), 179-191.

SAL: An explicitly pluralistic cognitive architecture

Architecture Comments Off

Jilk, D.J., Lebiere, C., O’Reilly, R. C., & Anderson, J. R. (2008) SAL: An explicitly pluralistic cognitive architecture. Journal of Experimental and Theoretical Artificial Intelligence, 20, 197-218.

Using Brain Imaging to Extract the Structure of Complex Events at the Rational Time Band

fMRI, User Modeling Comments Off

Anderson, J. R. & Qin, Y. (2008). Using Brain Imaging to Extract the Structure of Complex Events at the Rational Time Band. Journal of Cognitive Neuroscience, 20 (9) , 1624-1636.

Word Puzzles Produce Distinct Patterns of Activation in the Ventrolateral Prefrontal Cortex and Anterior Cingulate Cortex

fMRI Comments Off

Anderson, J. R., Anderson, J. F., Ferris, J. L., Fincham, J. M., & Jung, K-J. (unpublished, 2008). Word puzzles produce distinct patterns of activation in the ventrolateral prefrontal cortex and anterior cingulate cortex.

An integrated theory of prospective time interval estimation

Time Perception Comments Off

Taatgen, N., Van Rijn, H., Anderson, J. R. (2007). An integrated theory of prospective time interval estimation: The role of cognition, attention, and learning. Psychological Review, 114(3), 577-598.

Information-Processing Modules and their Relative Modality Specificity

Architecture Comments Off

Anderson, J. R., Qin, Y., Jung, K-W., & Carter, C. S. (2007). Information-Processing Modules and their Relative Modality Specificity, Cognitive Psychology, 54(3), 185-217

The Acquisition of Robust and Flexible Cognitive Skills

Skill Acquisition Comments Off

Taatgen, N.A., Huss, D., Dickison, D.H., & Anderson, J.R. (2008). The Acquisition of Robust and Flexible Cognitive Skills. Journal of Experimental Psychology: General, 137(3), 548-565.

Evaluation of a contextual assistant interface using cognitive models

Graphical User Interfaces No Comments »

Chikhaoui, B. & Pigot, H. (2008). evaluation of a contextual assistant interface using cognitive models. In Proceedings of the 5th International Conference on Human Computer Interaction (pp. 36-43). Venice, Italy.

Air Traffic Control in ACT-R: a Computational Model of Conflict Detection Between Planes

Driving and Flying Behavior, Spatial Reasoning and Navigation Comments Off

Raufaste, E. (2006). Air Traffic Control in ACT-R: a Computational Model of Conflict Detection Between Planes. In Proceedings of the International Conference on Human-Computer Interaction in Aeronautics (HCI-Aero’06) (pp. 258-259). Seattle, USA.

CoJACK–Achieving principled behaviour variation in a moderated cognitive architecture

Updating Memory and Prospective Memory Comments Off

Evertsz, R., Busetta, P., Pedrotti, M., Ritter, F. E., & Bittner, J. L. (2008). CoJACK–Achieving principled behaviour variation in a moderated cognitive architecture. In Proceedings of the 16th Conference on Behavior Representation in Modeling and Simulation. 08-BRIMS-025. Orlando, FL: U. of Central Florida.

Individual differences in sustained vigilant attention: Insights from computational cognitive modeling.

Attention, Individual Differences No Comments »

Gunzelmann, G., Moore, L. R., Gluck, K. A., Van Dongen, H. P. A., & Dinges, D. F. (2008). Individual differences in sustained vigilant attention: Insights from computational cognitive modeling. In B. C. Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the Thirtieth Annual Meeting of the Cognitive Science Society (pp. 2017-2022). Austin, TX: Cognitive Science Society.

An integrated model of cognitive control in task switching

Multi-Tasking, Task Switching No Comments »

Altmann, E. M., & Gray, W. D. (2008). An integrated model of cognitive control in task switching. Psychological Review, 115, 602-639.

Timecourse of recovery from task interruption: Data and a model

Multi-Tasking, Task Switching No Comments »

Altmann, E. M., & Trafton, J. G. (2007). Timecourse of recovery from task interruption: Data and a model. Psychonomic Bulletin & Review, 14, 1079-1084.

Procedural Learning and Sequential Control of Behavior in a Neural Network Model of the Basal Ganglia

Architecture, Skill Acquisition No Comments »

Stocco, A., Lebiere, C., & Anderson, J. R. (2008). Procedural Learning and Sequential Control of Behavior in a Neural Network Model of the Basal Ganglia. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, pp. 210-211.

Endogenous Control and Task Representation: An fMRI Study in Algebraic Problem Solving

fMRI, Mathematical Problem Solving Comments Off

Stocco, A. & Anderson, J. R. (2008) Endogenous control and task representation: An fMRI study in algebraic problem solving. Journal of Cognitive Neuroscience, 20(7), 1300-1314.

How a modeler’s conception of rewards influences a model’s behavior: investigating ACT-R 6′s utility learning mechanism

Choice and Strategy Selection, Implicit Learning, Skill Acquisition Comments Off

Janssen, C.P., Gray, W.D., & Schoelles, M.J. (2008). How a Modeler’s Conception of Rewards Influences a Model’s Behavior: Investigating ACT-R 6′s Utility Learning Mechanism. In Proceedings of the 15th Annual ACT-R Workshop (p. 42), Pittsburgh, PA.

Memory structures as user models

User Modeling No Comments »

Van Maanen, L., Borst, J. P., Janssen, C. P., & Van Rijn, H. (2006). Memory structures as user models, In proceedings of the 13th Annual ACT-R Workshop. Pittsburgh, PA.

Mediating expert knowledge and visitor interest in art work recommendation

User Modeling Comments Off

Van Maanen, L. (2007). Mediating expert knowledge and visitor interest in art work recommendation. In proceedings of LWA 2007, Halle (Saale), Germany.

The picture-word interference effect is a stroop effect after all

Interference, Stroop Comments Off

Van Maanen, L., & Van Rijn, H. (2008). The picture-word interference effect is a stroop effect after all. In V. Sloutsky, B. Love & K. McRae (Eds.), In proceedings of 30th Annual Meeting of the Cognitive Science Society. Washington DC.

efficient use of large-scale computational resources

Tools No Comments »

Best, B., Fincham, J., Gluck, K., Gunzelmann, G., & Krusmark, M. (2008). Efficient Use of Large-Scale Computational Resources. In J. Hansberger (Ed.), Proceedings of the Seventeenth Conference on Behavior Representation in Modeling and Simulation (pp. 180-181). Orlando, FL: Simulation Interoperability Standards Organization.

Approaches to modeling the effects of fatigue on cognitive performance

Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Gunzelmann, G., & Gluck, K. A. (2008). Approaches to modeling the effects of fatigue on cognitive performance. In J. Hansberger (Ed.), Proceedings of the Seventeenth Conference on Behavior Representation in Modeling and Simulation (pp. 136-145). Orlando, FL: Simulation Interoperability Standards Organization

An initial evaluation of a cognitive model of UAV reconnaissance

Computer Generated Forces, Video Games, and Agents, Driving and Flying Behavior, Spatial Reasoning and Navigation No Comments »

Dimperio, E., Gunzelmann, G., & Harris, J. (2008). An Initial Evaluation of a Cognitive Model of UAV Reconnaissance. In J. Hansberger (Ed.), Proceedings of the Seventeenth Conference on Behavior Representation in Modeling and Simulation (pp. 165-173). Orlando, FL: Simulation Interoperability Standards Organization.

Mechanisms for human spatial competence

Architecture, Spatial Reasoning and Navigation Comments Off

Gunzelmann, G. & Lyon, D. R. (2007). Mechanisms for human spatial competence. In T. Barkowsky, M. Knauff, G. Ligozat, & D. Montello (Eds.), Spatial Cognition V: Reasoning, Action, Interaction. Lecture Notes in Artificial Intelligence #4387 (pp. 288-307). Berlin, Germany: Springer-Verlag.

A central circuit of the mind

Architecture, fMRI Comments Off

Anderson, J.R., Fincham, J. M., Qin, Y., & Stocco, A. (2008). A Central circuit of the mind. Trends in Cognitive Science. 12(4), 136-143.

An fMRI study of cognitive demand on control during skill acquisition

fMRI, Skill Acquisition No Comments »

Fincham, J. M., Qin, Y., & Anderson, J. R. (2008). An fMRI study of cognitive demand and control during skill acquisition. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, p. 244.

Strategy vatiation in multi-digit mental multiplication: fMRI, behavioral and modeling perspectives

Choice and Strategy Selection, fMRI No Comments »

Rosenberg-Lee, M., Lovett, M., & Anderson, J. R. (2008). Strategy variation in multi-digit mental multiplication: fMRI, behavioral and modeling perspectives. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society, San Francisco, CA, p. 72.

Neural mechanisms involved in the comprehension of metaphoric and literal sentences: An fMRI study

fMRI, Sentence Memory No Comments »

Shibata, M., Abe, J., Terao, A., & Miyamoto, T. (2007). Neural mechanisms involved in the comprehension of metaphoric and literal sentences: An fMRI study. Brain Research, 1166, 92-102.

An fMRI study of the interplay of symbolic and visuo-spatial systems in mathematical reasoning

fMRI Comments Off

Terao, A., Koedinger, K. R., Sohn, M-H., Qin, Y., Anderson, J. R., & Carter, C. S. (2004). An fMRI study of the interplay of symbolic and visuo-spatial systems in mathematical reasoning.In Proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 1327-1332).

ACT-R meets fMRI

Architecture, fMRI No Comments »

Qin, Y., Bothell, D., & Anderson, J. R. (2007). ACT-R meets fMRI. In Proceedings of LNAI 4845 (pp.. 205-222). Berlin, Germany: Springer-Verlag.

Interactive models of collaborative communication

Communication, Negotiation, and Group Decision Making Comments Off

Matessa, M. (2001). Interactive models of collaborative communication. In Proceedings of the Twenty-third Annual Conference of the Cognitive Science Society (pp. 634-638). Hillsdale, NJ: Lawrence Erlbaum Associates.

Role of Prefrontal and Parietal Cortices in Associative Learning

fMRI Comments Off

Anderson, J.R., Byrne, D., Fincham, J., & Gunn, P. (2008). Role of Prefrontal and Parietal Cortices in Associative Learning. Cerebral Cortex, 18(4), 904-914.

Multi-Purpose Prototypes for Assessing User Interfaces in Pervasive Computing Systems

Tools No Comments »

John, B. E. & Salvucci, D. D. (2005) Multi-Purpose Prototypes for Assessing User Interfaces in Pervasive Computing Systems. IEEE Pervasive Computing 4(4), 27-34.

Predictive human performance modeling made easy

Tools No Comments »

John, B. E., Prevas, K., Salvucci, D. D., Koedinger, K. (2004) Predictive human performance modeling made easy. In Proceedings of CHI 2004 (Vienna, Austria, April 2004), ACM New York. 455-462.

Over-estimating cognition time: The benefits of using a task simulation

Cognitive Development, User Modeling, Visual Search Comments Off

Jones, G., & Ritter, F. E. (2000). Over-estimating cognition time: The benefits of using a task simulation. In Simulating Human Agents, American Association for Artificial Intelligence Fall 2000 Symposium Series (pp. 67-74). Menlo Park, CA: AAAI Press.

Image processing in cognitive models with SegMan

Graphical User Interfaces, Tools, User Modeling, Visual Search No Comments »

St. Amant, R., Riedl, M. O., Ritter, F. E., & Reifers, A. (2005). Image processing in cognitive models with SegMan. In Proceedings of HCI International, 2005. (Invited.) Volume 4 – Theories Models and Processes in HCI. Paper # 1869.

AI support for building cognitive models

Tools, User Modeling No Comments »

St. Amant, R., McBride, S. P., Ritter, F. E. (2007). AI support for building cognitive models. In Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI-06) (pp. 1663-1666). Menlo Park, CA: AAAI Press.

Modeling the range of performance on the serial subtraction task

Cognitive Arithmetic, Individual Differences, Motivation, Emotion, Cognitive Moderators, & Performance Comments Off

Ritter, F. E., Schoelles, M., Klein, L. C., & Kase, S. E. (2007). Modeling the range of performance on the serial subtraction task. In Proceedings of the 8th International Conference on Cognitive Modeling. Lewis, R. L., Polk, T. A., Laird, J. L., (eds.). 299-304. Oxford, UK: Taylor & Francis/Psychology Press.

Choosing and getting started with a cognitive architecture to test and use human-machine interfaces

Instructional Materials Comments Off

Ritter, F. E. (2004). Choosing and getting started with a cognitive architecture to test and use human-machine interfaces. MMI-Interaktiv-Journal’s special issue on Modeling and Simulation in Human-Machine Systems, 7. 17-37.

Model-based evalution of expert cell phone menu interaction

Graphical User Interfaces, User Modeling No Comments »

St. Amant, R., Horton, T. E., & Ritter, F. E. (2007). Model-based evaluation of expert cell phone menu interaction. ACM Transactions on Computer-Human Interaction, 14(1), Article 1 (May 2007), 24 pages.

Embodied models as simulated users: Introduction to this special issue on using cognitive models to improve interface design

Graphical User Interfaces, User Modeling No Comments »

Ritter, F. E., & Young, R. M. (2001). Embodied models as simulated users: Introduction to this special issue on using cognitive models to improve interface design. International Journal of Human-Computer Studies, 55, 1-14.

Using a genetic algorithm to optimize the fit of cognitive models.

Choice and Strategy Selection, Cognitive Development, Tools Comments Off

Tor, K. & Ritter, F. E. (2004). Using a genetic algorithm to optimize the fit of cognitive models. In Proceedings of the Sixth International Conference on Cognitive Modeling. Mahwah, NJ: Lawrence Erlbaum.

Categorical data displays generated from three cognitive architectures illustrate their behavior.

Tools No Comments »

Tor, K., Haynes, S. R., Ritter, F. E., & Cohen, M. A. (2004). Categorical data displays generated from three cognitive architectures illustrate their behavior. In Proceedings of the International Conference on Cognitive Modeling (pp. 302-307). Mahwah, NJ: Lawrence Erlbaum.

Automated GOMS-to-ACT-R Model Generation

Dynamic Systems, Tools, Use and Design of Artifacts, User Modeling No Comments »

St. Amant, R. & Ritter, F. E. (2004). Automated GOMS-to-ACT-R model generation. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 26-31). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh.

Specifying ACT-R models of user interaction with a GOMS language

Tools, Use and Design of Artifacts, User Modeling, Visual Search No Comments »

St. Amant, R., Freed, A. R., & Ritter, F. E. (2005). Specifying ACT-R models of user interaction with a GOMS language. Cognitive Systems Research, 6, 71-88.

Using Cognitive Modeling to Study Behavior Moderations: Pre-Task Appraisal and Anxiety

Cognitive Arithmetic, Individual Differences, Motivation, Emotion, Cognitive Moderators, & Performance, Multi-Tasking No Comments »

Ritter, F. E., Reifers, A., Klein, L. C., Quigley, K., & Schoelles, M. (2004). Using cognitive modeling to study behavior moderations: Pre-task appraisal and anxiety. In Proceedings of the Human factors and Ergonomics Society (pp. 2121-2125). Santa Monica, CA: Human Factor and Ergonomics Society.

Including a model of visual processing with a cognitive architecture to model a simple teleoperation task

Driving and Flying Behavior, Graphical User Interfaces, Spatial Reasoning and Navigation, User Modeling No Comments »

Ritter, F. E., Kukreja, U., & St. Amant, R. (2007). Including a model of visual processing with a cognitive architecture to model a simple teleoperation task. Journal of Cognitive Engineering and Decision Making, 1(2), 121-147.

High-level behavior representation languages revisited

Representation, Tools, User Modeling Comments Off

Ritter, F. E., Haynes, S. R., Cohen, M., Howes, A., John, B., Best, B. J., Lebiere, C., Jones, R. M., Crossman, J., Lewis, R. L., St. Amant, R., McBride, S. P., Urbas, L., Leuchter, S., & Vera, A. (2006). High-level behavior representation languages revisited. Symposium at Trieste: Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 404-407). Trieste, Italy.

Towards including simple emotions in a cognitive architecture in order to fit children’s behaviour better

Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Belavkin, R. V., Ritter, F. E., & Elliman, D. G. (1999b). Towards including simple emotions in a cognitive architecture in order to fit children’s behaviour better. In Proceedings of the 1999 Conference of the Cognitive Science Society. Mahwah, NJ: Erlbaum.

Providing user models direct access to interfaces: an exploratory study of a simple interface with implications for HRI and HCI

Driving and Flying Behavior, Graphical User Interfaces, Motivation, Emotion, Cognitive Moderators, & Performance, Multi-Tasking, Spatial Reasoning and Navigation, User Modeling Comments Off

Ritter, F. E., van Rooy, D., St. Amant, R., & Simpson, K. (2006). Providing user models direct access to interfaces: An exploratory study of a simple interface with implications for HRI and HCI. IEEE Transactions on Systems, Man, and Cybernetics: Part A, Systems and Humans, 36(3), 592-601.

An information-processing approach to deconstructing a geometry proof task

Uncategorized No Comments »

Kao, Y., Douglass, S. A., Fincham, J. M., Jung, K.-J., Qin, Y., & Anderson, J. R. (submitted). An information-processing approach to deconstructing a geometry proof task.

ACT-R model of EEG latency data

User Modeling Comments Off

Cassenti, D.N. (2007). ACT-R model of EEG latency data. Proceedings of the Human Factors and Ergonomics Society 51st Annual Meeting (pp. 812-816). Santa Monica, CA: Human Factors and Ergonomics Society.

Anticipation of conflict monitoring in the anterior cingulate cortex and the prefrontal cortex

fMRI No Comments »

Sohn, M.-H., Albert, M. V.., Stenger, V. A, Jung, K.-J., Carter, C. S., & Anderson, J. R. (2007). Anticipation of conflict monitoring in the anterior cingulate cortex and the prefrontal cortex. Proceedings of National Academy of Science, 104, 10330-10334.

The roles of prefrontal and posterior parietal cortex in algebra problem-solving: A case of using cognitive modeling to inform neuroimaging data.

fMRI, Mathematical Problem Solving Comments Off

Danker, J. F. & Anderson, J. R. (2007). The roles of prefrontal and posterior parietal cortex in algebra problem-solving: A case of using cognitive modeling to inform neuroimaging data. Neuroimage, 35, 1365-1377.

The ACT-R Manual

Architecture, Tools Comments Off

Bothell, D. (2007). ACT-R 6.0 Reference Manual. From the ACT-R Web site: http://act-r.psy.cmu.edu/wordpress/wp-content/themes/ACT-R/actr6/reference-manual.pdf.

Memory and Mind: A festschrift for Gordon H. Bower

Uncategorized No Comments »

Gluck, M. A., Anderson, J. R , & Kosslyn, S. M. (2007). Memory and Mind: A Festschrift for Gordon H. Bower. New Jersey: Lawrence Erlbaum Associates.

Endogenous control in algebraic-problem solving: An fMRI study

fMRI, Mathematical Problem Solving No Comments »

Stocco, A., & Anderson, J. R. (2007). Endogenous control in algebraic problem solving: An fMRI study. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society. New York, NY, p. 271.

An fMRI study of the neural correlates of performance and learning in an algebraic isomorph task

fMRI, Intelligent Tutoring Systems, Mathematical Problem Solving No Comments »

Fincham, J. M., & Anderson, J. R. (2007). An fMRI study of the neural correlates of performance and learning in an algebraic isomorph task. In Proceedings of the Annual Meeting of the Cognitive Neuroscience Society. New York, NY, p. 271

A cognitive constraint model of dual-task trade-offs in a highly dynamic driving task

Driving and Flying Behavior, Multi-Tasking Comments Off

Brumby, D.P., Howes, A., & Salvucci, D.D. (2007). A cognitive constraint model of dual-task trade-offs in a highly dynamic driving task. In the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2007) (pp. 233-242). New York, NY: ACM Press.

A cognitive constraint model of the effects of portable music-player use on driver performance

Driving and Flying Behavior, Multi-Tasking No Comments »

Brumby, D.P., Salvucci, D.D., Mankowski, W., & Howes, A. (2007). A cognitive constraint model of the effects of portable music-player use on driver performance. To appear in the Proceedings of the Human Factors and Ergonomics Society 51st Annual Meeting (HFES 2007). Santa Monica, CA: Human Factors and Ergonomics Society.

SNIF-ACT: A model of information-seeking behavior in the world wide web

Graphical User Interfaces, Information Search No Comments »

Fu, W.-T., Pirolli, P. (in press), SNIF-ACT: A Model of Information-Seeking Behavior in the World Wide Web. Human-Computer Interaction.

Extending ACT-R’s Memory Capabilities

Representation No Comments »

Schultheis, H., Lile, S., & Barkowsky, T. (2007). Extending ACT-R’s Memory Capabilities. In S. Vosniadou, D. Kayser, A. Protopapas (Eds.), In Proceedings of EuroCogSci’07: The European Cognitive Science Conference (pp. 758–763). Lawrence Erlbaum Associates.

Cognitive architectures as Lakatosian Research programmes: Two case studies

Uncategorized No Comments »

Cooper, R. P. (2006). Cognitive Architectures as Lakatosian Research Programmes: Two case studies. Philosophical Psychology, 19, 199–220.

The role of falsification in the developemnt of cognitive architectures: Insights from a lakatosian analysis

Uncategorized Comments Off

Cooper, R. P. (2007). The role of falsification in the development of Cognitive Architectures: Insights from a Lakatosian analysis. Cognitive Science, 31, 509-533.

long-term symbolic learning

Architecture Comments Off

Kennedy, W. G., & Trafton, J.G. (2007) Long-term symbolic learning. Cognitive Systems Research, 8(3), 237-247.

Spatial representation and reasoning for human-robot interaction

Spatial Reasoning and Navigation Comments Off

Kennedy, W.G., Bugajska, M.D., Marge, M., Fransen, B.R., Adams, W., Perzanowski, D., Schultz, A.C., and Trafton, J.G. (2007) Spatial Representation and Reasoning for Human-Robot Interaction. In Proceedings of the Twenty-Second Conference on Artificial Intelligence (AAAI 2007) (pp 1554-1559). Vancouver, Canada: AAAI Press.

Model-based evaluation of cell phone menu interaction.

Graphical User Interfaces, Tools, Use and Design of Artifacts, Visual Search No Comments »

St. Amant, R., Horton, T. E., & Ritter F. E. (2004). Model-based evaluation of cell phone menu interaction. In Proceedings of the CHI’04 Conference on Human Factors in Computer Systems 343-350. New York, NY: ACM.

Investigation of procedural skills degradation from different modalities

Practice and Retention, Skill Acquisition No Comments »

Kim, J. W., Koubek, R. J., & Ritter, F. E. (2007). Investigation of procedural skills degradation from different modalities. In Proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Simplifying the development of cognitive models using pattern-based modeling

Tools, User Modeling Comments Off

Heinath, M. & Urbas, L. (2007). Simplifying the Development of Cognitive Models using Pattern-based Modeling. In proceedings of the 10th IFAC/IFIP/IFORS/IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems. Seoul, Korea.

Simplfying the development and the analysis of cognitive models

Tools, User Modeling No Comments »

Heinath, M., Dzaack, J., Wiesner, A. & Urbas, L. (2007). Simplifying the Development and the Analysis of Cognitive Models. In proceedings of EuroCogSci07. Delphi, Greece.

Integrating ACT-R and Cyc in a large-scale model of language comprehension for use in intelligent agents

Parsing No Comments »

Ball, J., Rodgers, S., & Gluck, K. (2004). Integrating ACT-R and Cyc in a large-scale model of language comprehension for use in intelligent agents. In Papers from the AAAI Workshop, Technical Report WS-04-07, pp. 19-25. Menlo Park, CA: AAAI Press

A cognitively plausible model of language comprehension

Parsing No Comments »

Ball, J. (2004). A cognitively plausible model of language comprehension. In Proceedings of the 13th Conference on Behavior Representation in Modeling and Simulation (pp. 305-316).

Can NLP systems be a cognitive black box?

Parsing No Comments »

Ball, J. (2006). Can NLP Systems be a Cognitive Black Box? Papers from the AAAI Spring Symposium, Technical Report SS-06-02. Menlo Park, CA: AAAI Press.

Construction-driven language processing

Parsing No Comments »

Ball, J. (2007). Construction-driven language processing. In Proceedings of the 2nd European Cognitive Science Conference.

Beginnings of a language comprehension module in ACT-R 5.0

Parsing No Comments »

Ball, J. T. (2003). Beginnings of a language comprhension module in ACT-R 5.0. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 231-232). Bamberg, Germany: Universitats-Verlag Bamberg.

Toward a large-scale model of language comprehension in ACT-R 6

Parsing No Comments »

Ball, J., Heiberg, A., & Silber, R. (2007). Toward a large-scale model of language comprehension in ACT-R 6. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Modellbasierte Analyse der menschlichen Leistung beim sequentiellen Durchblättern von Menüoptionen

Graphical User Interfaces Comments Off

Winkelholz, C., Brandt, M., & Renkewitz, H. (2006). Modellbasierte Analyse der menschlichen Leistung beim sequentiellen Durchblättern von Menüoptionen. In Cognitive Systems Engineering in der Fahrzeug- und Prozessführung (DGLR-Bericht 2006-02; pp. 319-226). Hrsg.: Grandt, M.; Bauch A. Deutsche Gesellschaft für Luft- und Raumfahrt e.V., Bonn.

A production system for serial recall of object-locations in graphical layout structures

Spatial Reasoning and Navigation No Comments »

Winkelholz, C. & Schlick, C. (2005). A Production system for the Serial Recall of Object-Locations in Graphical Layout Structures. In Proceedings of the 12th Annual ACT-R Workshop. Trieste, Italy.

Modeling human spatial memory within a symbolic architecture of cognition

Spatial Reasoning and Navigation Comments Off

Winkelholz, C. & Schlick, C. (2006). Modeling human spatial memory within a symbolic architecture of cognition. In T. Barkowsky, C. Freksa, M. Knauff, B. Kried-Bruckner, and B. Nevel (Eds.) Lecture notes in artificial intelligence: Proceedings of Spatial Cognition. Berlin, Germany: Springer-Verlag.

A symbolic theory of visual-spatial cognition

Spatial Reasoning and Navigation Comments Off

Winkelholz, C. & Schlick, C. (2006). A symbolic theory of visual-spatial cognition. In Proceedings of the IEA2006 – 16th World Congress on Ergonomics. Elsevier, Maastricht, the Netherlands.

Analyse, Modellierung und simulation der visuell-räumlichen Kognition in der mensch-maschine-interaktion

Spatial Reasoning and Navigation No Comments »

Winkelholz, C. (2006). Analyse, Modellierung und Simulation der visuell-räumlichen Kognition in der Mensch-Maschine-Interaktion. Dissertation RWTH Aachen, Shaker-Verlag, Aachen.

Exploring the assistance dilemma in experiments with Cognitive Tutors

Intelligent Tutoring Systems No Comments »

Koedinger, K. R. & Aleven, V. (in press). Exploring the assistance dilemma in experiments with Cognitive Tutors. Educational Psychology Review.

On-line reference assignment for anaphoric and non-anaphoric nouns: A unified, memory-based model in ACT-R

Language Learning, Parsing No Comments »

Pyke, A., West, R. L., & LeFevre, J. (2007). On-line reference assignment for anaphoric and non-anaphoric nouns: A unified, memory-based model in ACT-R. In proceedings of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN, USA.

The FaCT (fact and concept training) System: A new tool linking cognitive science with educators

Intelligent Tutoring Systems, Practice and Retention, Skill Acquisition Comments Off

Pavlik, P. I., Jr., Presson, N., Dozzi, G., Wu, S.-M., MacWhinney, B., & Koedinger, K. (2007). The FaCT (fact and concept) system: A new tool linking cognitive science with educators. In proceedings of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN, USA.

Mental rotation transfer

Spatial Reasoning and Navigation Comments Off

Pavlik, P. I., Jr., & Anderson, J. R. (2002). Mental rotation transfer. Poster presented the 24th Annual Meeting of the Cognitive Science Society, Fairfax, VA August 2002.

Practice and Forgetting Effects on Vocabulary Memory: An Activation Based Model of the Spacing Effect

Practice and Retention Comments Off

Pavlik, P. I., Jr., & Anderson, J. R. ( 2005). Practice and forgetting effects on vocabulary memory: An activation-based model of the spacing effect. Cognitive Science, 29, 559-586.

An ACT-R model of the spacing effect

Practice and Retention No Comments »

Pavlik, P. I., Jr., & Anderson, J. R. (2003). An ACT-R model of the spacing effect. In F. Detje, D. Doerner, & H. Schaub (Eds.), In Proceedings of the Fifth International Conference on Cognitive Modeling (pp. 177-182). Bamberg, Germany: Universitats-Verlag Bamberg.

An ACT-R model of memory applied to finding the optimal schedule of practice

Interference No Comments »

Pavlik, P. I., Jr., & Anderson, J. R. (2004). An ACT-R model of memory applied to finding the optimal schedule of practice. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 376-377). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh.

Cognitive control as alternation of activation and supression in the Stroop Task

Cognitive Workload Comments Off

Juvina, I., Taatgen, N.A., & Dickison, D. (2007). Cognitive Control as Alternation of Activation and Suppression in the Stroop Task. In proceedings of the 29th Annual Conference of the Cognitive Science Society. Nashville, TN, USA.

Modeling navigation in degree-of-interest trees

Uncategorized No Comments »

Budiu, R. & Pirolli, P. (2007). Modeling navigation in degree-of-interest trees. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA.

Integrating visual and verbal knowledge during classroom learning with computer tutors

Intelligent Tutoring Systems No Comments »

Butcher, K. R. & Aleven, V. (2007) Integrating visual and verbal knowledge during classroom learning with computer tutors. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA.

Rules and exemplars in categorization: A computational exploration

Category Learning No Comments »

Brumby, D. P. & Hahn, U. (2007). Rules and exemplars in categorization: A computation exploration. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA.

Threadede cognition: An integrated theory of concurrent multitasking

Driving and Flying Behavior, Multi-Tasking, Skill Acquisition No Comments »

Salvucci, D. D., & Taatgen, N. A. (in press). Threaded cognition: An integrated theory of concurrent multitasking. Psychological Review.

Modeling driver behavior in a cognitive architecture

Driving and Flying Behavior, Multi-Tasking No Comments »

Salvucci, D. D. (2006). Modeling driver behavior in a cognitive architecture. Human Factors, 48, 362-380.

Fast learning in a simple probabilistic visual environment: A comparison of ACT-R’s old PG-C and new reinforcement learning algorithms

Architecture, Reinforcement Learning No Comments »

Tamborello, F. P., II, & Byrne, M. D. (2007). Fast Learning in a Simple Probabilistic Visual Environment: A Comparison of ACT-R’s Old PG-C and New Reinforcement Learning Algorithms. In Proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Adaptive but non-optimal visual search behavior with highlighted displays

Visual Search Comments Off

Tamborello, F. P., II, & Byrne, M. D. (in press). Adaptive but Non-Optimal Visual Search Behavior with Highlighted Displays. Journal of Cognitive Systems Research.

Visualizing egocentric vs. exocentric path descriptions

Spatial Reasoning and Navigation, Visual Search Comments Off

Lyon, D. R., Gunzelmann, G., & Gluck, K. A. (2007). Visualizing egocentric vs. exocentric path descriptions. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA.

Decreased arousal as a result of sleep deprivation: The unraveling of cognitive control

Attention, Motivation, Emotion, Cognitive Moderators, & Performance Comments Off

Gunzelmann, G., Gluck, K. A., Price, S. C., Van Dongen, H. P. A., & Dinges, D. F. (2007). Decreased arousal as a result of sleep deprivation: The unraveling of cognitive control. In W. D. Gray (Ed.), Integrated Models of Cognitive Systems (pp. 243-253). New York: Oxford University Press.

Uncovering physiologic mechanisms of circadian rhythms through mathematical modeling

Attention, Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Kronauer, R. E., Gunzelmann, G., Van Dongen, H. P. A., Doyle, F. J. III, & Klerman, E. B. (2007). Uncovering physiologic mechanisms of circadian rhythms through mathematical modeling. Journal of Biological Rhythms, 22(3), 233-245.

Combinatorics meets processing power: larger-scale computational resources for BRIMS

Tools No Comments »

Gluck, K .A., Scheutz, M., Gunzelmann, G., Harris, J., & Kershner, J. (2007). Combinatorics meets processing power: Large-scale computational resources for BRIMS. In T. Kelley & Allender, Proceedings of the 2007 Behavior Representation in Modeling and Simulation (BRIMS) Conference (pp. 73-83). Orlando, FL: Simulation Interoperability Standards Organization.

Understanding decrements in knowledge access resulting from increased fatigue

Cognitive Arithmetic, Mathematical Problem Solving, Motivation, Emotion, Cognitive Moderators, & Performance No Comments »

Gunzelmann, G., Gluck, K. A., Kershner, J., Van Dongen, H. P. A., & Dinges, D. F. (2007). Understanding decrements in knowledge access resulting from increased fatigue. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA.

Using cognitive modeling to understand the roles of prefrontal and posterior parietal cortex in algebra problem solving

Cognitive Arithmetic, Mathematical Problem Solving No Comments »

Danker, J. F. & Anderson, J. R. (2007). Using cognitive modeling to understand the roles of prefrontal and posterior parietal cortex in algebra problem solving. In Proceedings of the Society for Cognitive Neuroscience. New York, New York.

Interference and repetition both impact left prefrontal cortex during recall

Interference, Practice and Retention No Comments »

Danker, J. F., Gunn, P., & Anderson, J. R. (2007). Interference and repetition both impact left prefrontal cortex during recall. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA.

An integerated approach to modeling concurrent multitasking

Multi-Tasking No Comments »

Salvucci, D. D. & Taatgen, N. A. (2007). An integrated approach to modeling concurrent multitasking. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA.

The nature of belief inhibition in thinking: How reasoning impairs memory

Information Search Comments Off

Fu, W.-T. & Pirolli, P. (2007). The nature of belief inhibition in thinking: How reasoning impairs memory. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA.

Accounting for Subliminal Priming in ACT-R

Interference No Comments »

van Maanen, L. & van Rijn, H. (2007). Accounting for Subliminal Priming in ACT-R. In proceedings of 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

How readers retrieve referents for nouns in real time: A memory-based model of context effects

Language Learning No Comments »

Pyke, A., West, R., & LeFevre, J. (2007). How readers retrieve referents for nouns in real time: A memory-based model of context effects. In proceedings of the 8th International Conference on Cognitive Modeling Ann Arbor, Michigan, USA.

Comparing modeling idioms in ACT-R and Soar

Uncategorized No Comments »

Jones, R. M., Lebiere, C., & Crossman, J. A. (2007). Comparing modeling idioms in ACT-R and Soar. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Asymmetric switch costs as sequential difficulty effects

Cognitive Arithmetic, Task Switching, Working Memory No Comments »

Schneider, D. W., & Anderson, J. R. (2010). Asymmetric switch costs as sequential difficulty effects. Quarterly Journal of Experimental Psychology, 63, 1873–1894.

Dynamic spatial reasoning capability in a graphical interface evaluation tool

Spatial Reasoning and Navigation, Tools No Comments »

Matessa, M. P., Archer, R., & Mui, R. (2007). Dynamic spatial reasoning capability in a graphical interface evaluation tool. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Instance-based decision making model of repeated binary choice

Game Playing No Comments »

Lebiere, C., Gonzalez, C., & Martin, M. (2007). Instance-based decision making model of repeated binary choice. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

ACT-R Models of cognitive control in the Abstract Decision Making Task

Multi-Tasking, Reasoning No Comments »

Dickison, D. H. & Taatgen, N. A. (2007). ACT-R Models of cognitive control in the Abstract Decision Making Task. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

From 1000ms to 650ms: Why interleaving, soft constraints, and milliseconds matter

Multi-Tasking No Comments »

Veksler, B. Z., Gray, W. D., & Schoelles, M. J. (2007). From 1000ms to 650 ms: Why interleaving, soft constraints, and milliseconds matter. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Goal and Spatial memory following interruption

Task Switching No Comments »

Brudzinski, M. E., Ratwani, R. M., & Trafton, J. G. (2007). Goal and spatial memory following interruption. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

From a formal cognitive task model to an implemented ACT-R model

Reasoning No Comments »

Both, F. & Heuvelink, A. (2007). From a formal cognitive task model to an implemented ACT-R model. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Dynamic visualization of ACT-R declarative memory structure

Tools No Comments »

Heiberg, A., Harris, J., & Ball, J. T. (2007). Dynamic visualization of ACT-R declarative memory structure. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

The image of complexity

Architecture, fMRI No Comments »

Anderson, J. R. (2007). The image of complexity. In The 29th Annual Conference of the Cognitive Science Society. Nashville, Tennessee, USA.

Diagrammatic reasoning: Route planning on maps with ACT-R

Spatial Reasoning and Navigation Comments Off

Dye, H. A. (2007). Diagrammatic reasoning: Route planning on maps with ACT-R. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

State definition in the tetris task: Designing a hybrid model of cognition

Computer Generated Forces, Video Games, and Agents No Comments »

Veksler, V. D. & Gray, W. D. (2004). State definition in the Tetris task: designing a hybrid model of cognition. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 394-395). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh.

The costs of multitasking in threaded cognition

Multi-Tasking No Comments »

Borst, J. & Taatgen, N. A. (2007). The costs of multitasking in threaded cognition. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Dialing while driving? A bounded rational analysis of concurrent multi-task behavior

Multi-Tasking No Comments »

Brumby, D. P., Salvucci, D. D., & Howes, A. (2007). Dialing while driving? A bounded rational analysis of concurrent multi-task behavior. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Attentional Blink: An internal traffic jam?

Visual Search No Comments »

Taatgen, N. A., Juvina, I., Herd, S., Jilk, D., & Martens, S. (2007). Attentional blink: An internal traffic jam? In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

The importance of action history in decision making and reinforcement learning

Uncategorized No Comments »

Wang, Y. & Laird, J. E. (2007). The importance of action history in decision making in reinforcement learning. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Optimizing knowledge component learning using a dynamic structural model of practice

Practice and Retention No Comments »

Pavlik, P. I., Jr., Presson, N., & Koedinger, K. R. (2007). Optimizing knowledge component learning using a dynamic structural model of practice. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

A model of parallel time estimation

Time Perception No Comments »

van Rijn, H. & Taatgen, N. A. (2007). A model of parallel time estimation. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Modeling control strategies in the n-back

User Modeling No Comments »

Juvina, I. & Taatgen, N.A. (2007). Modeling Control Strategies in the N-Back Task. In proceedings of the 8th International Conference on Cognitive Modeling. Ann Arbor, Michigan, USA.

Steps towards integrated models of cognitive systems: A levels-of-analysis approach to comparing human performance to model predictions in a complex task environment

User Modeling No Comments »

Schoelles, M. J., Neth, H., Myers, C. W., & Gray, W. D. (2006). Steps towards integrated models of cognitive systems: A levels-of-analysis approach to comparing human performance to model predictions in a complex task environment. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 756-761 ) . Vancouver, British Columbia, Canada.

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