Publications in Dynamic Systems

Dimov, C. M., Anderson, J. R., & Betts, S. A.(2024). Tight resource-rational analysis. Cognitive Systems Research 86. https://doi.org/10.1016/j.cogsys.2024.101239

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

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

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

Urbas, L., Heinath, M., Troesterer, S., Pape, N., Dzaack, J., Kiefer, J., & Leuchter, S. (2006). Agimap: A tool chain to support the modelling of the interaction level of dynamic systems. Tutorial at Trieste:Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 409). Trieste, Italy.

Kiefer, J. & Urbas, L. (2006). How to model different strategies in dynamic task environments. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 172-176). Trieste, Italy.

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.

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.

Fu, W.-T., Bothell, D., Douglass, S., Haimson, C., Sohn, M.-H., & Anderson, J. R. (2004) Learning from real-time over-the-shoulder instructions in a dynamic task. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 100-105). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh.

Martin, M. K., Gonzalez, C., Lebiere, C. (2004). Learning to make decisions in dynamic environments: ACT-R Plays the beer game. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 178-183). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh.

Zondervan, K., Verbrugge, R., & Taatgen, N. A. (2004). Modeling the ability to reason about oneself and others in educational contexts. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 418-419). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh.

Gonzalez, C., Lerch, F. J., & Lebiere, C. (2003). Instance-based learning in real-time dynamic decision making. Cognitive Science 27 (4), 591-635.

Fum, D. & Stocco, A. (2003) Instance vs. rule based learning in controlling a dynamic system. In Proceeedings of the Fifth International Conference on Cognitive Modelling, Bamberg, Germany, 10-12 April 2003.

Schoppek, W. (2002). Examples, rules, and strategies in the control of dynamic systems. Cognitive Science Quarterly, 1 (4).

Boehm-Davis, D. A., Holt, R. W., Diez, M. & Hansberger, J. T. (2002). Developing and validating cockpit interventions based on cognitive modeling. In Proceedings of the 24th Annual Meeting of the Cognitive Science Society, Fairfax, VA: August, 2002.

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.

Schoppek, W., Holt R.W., Diez M.S., & Boehm-Davis D.A. (2001). Modeling behavior in complex and dynamic situations - The example of flying an automated aircraft. In E. M. Altmann, A. Cleeremans, C. D. Schunn &, W. D. Gray (Eds.), Proceedings of the Fourth International Conference on Cognitive Modeling (pp. 258-259). Mahwah, NJ: Erlbaum.

Schoelles, M. J. & Gray, W. D. (2001). Argus: A suite of tools for research in complex cognition. Behavior Research Methods, Instruments, & Computers, 33(2), 130-140.

Lee, F. J. (2000). Does learning of a complex task Have to be complex? A study in learning decomposition. Ph.D. Thesis, Carnegie Mellon University, Pittsburgh, PA.

Ehret, B. D., Gray, W. D., & Kirschenbaum, S. S. (2000). Contending with complexity: Developing and using a scaled world in applied cognitive research. Human Factors, 42(1), 8-23.

Schoelles, M. J., & Gray, W. D. (2000). Argus Prime: Modeling emergent microstrategies in a complex simulated task environment. In N. Taatgen, & J. Aasman (Eds.), Proceedings of the Third International Conference on Cognitive Modeling (pp. 260-270). Veenendal, NL: Universal Press.

Gray, W. D., Schoelles, M. J., & Fu, W-T. (2000). Modeling a continuous dynamic task. In N. Taatgen, & J. Aasman (Eds.), Proceedings of the Third International Conference on Cognitive Modeling (pp. 158-168). Veenendal, The Netherlands: Universal Press.

Lerch, F. J., Gonzalez, C., & Lebiere, C. (1999). Learning under high cognitive workload. In Proceedings of the Twenty-first Conference of the Cognitive Science Society, pp. 302-307. Mahwah, NJ: Erlbaum.

Schoppek, W. (1999). Rules and instances in the control of a static system - Modelling the influence of causal interpretation. In I. Wachsmuth & B. Jung (Eds.), KogWiss99. Sankt Augustin: Infix. (pp. 146-151).

Wallach, D. & Lebiere, C. (1998). Modellierung von Wissenserwerbsprozessen bei der Systemregelung [Modeling of knowledge acquisition processes in system control]. In W. Krause und U. Kottkamp (Hrsg.). Intelligente Informationsverarbeitung (pp. 93-101). Wiesbaden: Deutscher Universitätsverlag.

Wallach, D. & Tack, W. (1998). Wissenserwerb und Performanz bei der Regelung komplexer Systeme [On the relationship of learning and performance in system control]. Kognitionswissenschaft, 7, 118-123.

Wallach, D. (1998). Komplexe Regelungsprozesse: Eine kognitionswissenschaftliche Analyse [Complex system control: A cognitive science approach]. Wiesbaden: Duv.

Wallach, D. (1997). Rekonstruktion komplexer Problemlöseprozesse in einer integrativen Kognitionstheorie. [On modeling complex problem solving in an integrative theory of cognition]. In W. Krause, U. Kottkamp & R. Goertz (Hrsg.). KogWis97: Proceedings der dritten Fachtagung der Gesellschaft für Kognitionswissenschaft. Jena: Friedrich-Schiller Universität.

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Department of Psychology, Carnegie Mellon University