Predicting Cognitive Performance in Open-ended Dynamic Tasks
A Modeling Comparison Challenge
Organized by: Christian Lebiere, Cleotilde Gonzalez, & Walter Warwick

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References

Cronin, M., & Gonzalez, C. (2007). Understanding the building blocks of system dynamics. System Dynamics Review, 23(1), 1-17.

Cronin, M., Gonzalez, C., & Sterman, J. D. (2009). Why don't well-educated adults understand accumulation? A challenge to researchers, educators and citizens. Organizational Behavior and Human Decision Processes, 108, 116-130.

Dutt, V., & Gonzalez, C. (2007). Slope of inflow impacts dynamic decision making. In Proceedings of the 25th International Conference of the System Dynamics Society (pp. 79). Boston, MA: System Dynamics Society.

Gonzalez, C., & Dutt, V. (2007). Learning to control a dynamic task: A system dynamics cognitive model of the slope effect. In Lewis, Polk, & Laird (Eds.), 8th International Conference on Cognitive Modeling (pp. 61-66). Ann Arbor, MI.

Other papers pertinent to this challenge:

Lebiere, C., Gonzalez, C., & Warwick, W. (in press). Convergence and constraints revealed in a qualitative model comparison. Journal of Cognitive Engineering and Decision Making.

Lebiere, C., Gonzalez, C., & Warwick, W. (2009). A comparative approach to understanding general intelligence: Predicting cognitive performance in an open-ended dynamic task. In Proceedings of the Second Conference on Artificial General Intelligence. Atlantis Press, Amsterdam-Paris, pp. 103-107.

Warwick, W. (2009). Comparing the comparisons. To appear in Proceedings of the 18th Annual Conference on Behavior Representation in Modeling and Simulation. Sundance, Utah. March 31, April 2.

Organized in part by the Dynamic Decision Making Laboratory, a part of the Social and Decision Sciences Department at Carnegie Mellon University. For updates and comments regarding this website, please email hauyuw@andrew.cmu.edu.