Publications about Choice and Strategy Selection

Altmann, E. M. & Burns, B . D. (2004). Streak biases in decision making: Data and a memory model. In Proceedings of the sixth International Conference on Cognitive Modeling (pp.34-39). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Altmann, E. M. & Burns, B. D. (2005). Streak biases in decision making: data and a memory model. Cognitive Systems Research, 6, 5-16. [] [info]

Beaman, C. P., McCloy, R. A., & Smith, P. T. (2006). When does ignorance make use smart? Additional factors guiding heuristic inference. In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 54-58 ) . Vancouver, British Columbia, Canada. [] [info]

Belavkin, R. V. (2003). Conflict Resolution by Random Estimated Costs. In D. Al-Dabass (Ed.), Proceedings of 17th European Simulation Multiconference (pp. 105--110). Nottingham, England. ISBN 3-936150-25-7 [] [info]

Belavkin, R. V., & Ritter, F. E. (2003). The use of entropy for analysis and control of cognitive models. In F. Detje, D. Doerner, & H. Schaub (Eds.), Proceedings of the Fifth International Conference on Cognitive Modeling. 21-26. Bamberg, Germany: Universitats-Verlag Bamberg. [] [info]

Belavkin, R. V. & Ritter, F. E. (2004). OPTIMIST: A new conflict resolution alogorithm for ACT-R. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 40-45). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Belvakin, R. V. (2006). Towards a theory of decision-making without paradoxes. In Proceedings of the Seventh International Conference on Cognitive Modeling (pp. 38-43). Trieste, Italy. [] [info]

Best, B. J., Schunn, C. D., & Reder, L. M. (1998). Modeling adaptivity in a dynamic task. In M. A. Gernsbacher & S. J. Derry (Eds.), Proceedings of the 20th Annual Conference of the Cognitive Science Society. (p. 144-149) Mahwah, NJ: Erlbaum. [] [info]

Del Missier, F. & Fum, D. (2002) Declarative and procedural strategies in problem solving: Evidence from the toads and frogs puzzle. In W. D. Gray & C. D. Schunn (Eds.), Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society, Mahwah, NJ: Lawrence Erlbaum Associates, 262-267. [] [info]

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. [] [info]

Fu, W-T. (2001). The influence of experienced effort on learning and choice solution paths in a simple navigation task. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 279-280. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

Fu, W-T. & Anderson, J. R. (2004). Extending the Computational Abilities of the Procedural Learning Mechanism in ACT-R. In proceedings of the 26th Annual Conference of the Cognitive Science Society (pp. 416-421). August 4-7, Chicago, USA [] [info]

Fu, W-T. & Anderson, J. R. (2006). From recurrent choice to skill learning: A reinforcement-learning model. Journal of Experimental Psychology: General, 135(2), 184-206. [] [info]

Fu, W-T., & Gray, W. D. (2001). Modeling cognitive versus perceptual-motor tradeoffs using ACT-R/PM. In Proceedings of the Fourth International Conference on Cognitive Modeling, pp. 247-248. Mahwah, NJ: Lawrence Erlbaum Associates. [] [info]

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. [] [info]

Gray, W. D., Schoelles, M. J., & Sims, C. R. (2004). Learning to choose the most effective strategy: Explorations in expected value. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 112-117). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

Gray, W. D., Schoelles, M. J., & Sims, C. R. (2005). Adapting to the task environment: Explorations in expected value. Cognitive Systems Research, 6, 27-40. [] [info]

Gray, W. D., Sims, C. R., Fu, W.-T., & Schoelles, M. J. (2006). The soft constraints hypothesis: A rational analysis approach to resource allocation for interactive behavior. Psychological Review, 113(3), 461-482. [] [info]

Gugerty, L. (in press, publication expected May 2007). Cognitive components of troubleshooting strategies. Thinking and Reasoning. [] [info]

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. [] [info]

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

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. [] [info]

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. [info]

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. [] [info]

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. [info]

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. [] [info]

Lebiere, C., Gray, R., Salvucci, D. & West R. (2003) Choice and Learning under Uncertainty: A Case Study in Baseball Batting. In Proceedings of the 25th Annual Meeting of the Cognitive Science Society. pg 704-709. [] [info]

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. [] [info]

Lovett, M. C. (1998). Choice. In J. R. Anderson, & C. Lebiere (Eds.). The atomic components of thought, 255-296. Mahwah, NJ: Erlbaum. [] [info]

Lovett, M. C. & Anderson, J. R. (1996). History of success and current context in problem solving: Combined influences on operator selection. Cognitive Psychology, 31(2), 168-217. [] [info]

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 [info]

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. [] [info]

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. [] [info]

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 [] [info]

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

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

Mckenzie-Kerr, A. & Macken, W. J. (2006). Metamemory in strategy selection: Evidence for a dissocaition in familiarity-based judgments between In proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 1806-1810) . Vancouver, British Columbia, Canada. [] [info]

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. [] [info]

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. [] [info]

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. [] [info]

Nellen, S. (2003). The use of the "Take-the-Best" heuristic under different conditions, modeled with ACT-R. In: F. Detje, D Doerner and H. Schaub (eds.), Proceedings of the fifth international conference on cognitive modeling (pp. 171-176). Bamberg: Universitaetsverlag Bamberg [] [info]

Nellen, S. & Lovett, M. C. (2004). Towards a theory of balancing exploration and exploitation in probabilistic environments. In Proceedings of the sixth International Conference on Cognitive Modeling (pp. 214-219). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh. [] [info]

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. [] [info]

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

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

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. [info]

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. [] [info]

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. [] [info]

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. [] [info]

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. [] [info]

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. [] [info]

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

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