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Computational Modeling of Complex Tasks and Executive Control

In order to better understand how complex tasks are performed, and how executive processes manage and control the component sub-processes used, we have constructed detailed computational models using the EPIC cognitive architecture. EPIC performs tasks on the basis of production rules that embody the procedural knowledge used for performing any task.

For More Information:

  • Kieras, D. E., Meyer, D. E., & Ballas, J. (2001). Towards demystification of direct manipulation: Cognitive modelsing charts the gulf of execution. Proceedings of The CHI2001 Conference on Human Factors in Computing Systems (pp. 128-135). New York: Association of Computing Machinery, 2001.

  • Kieras, D. E., Meyer, D. E., Ballas, J. A., & Lauber, E. J. (2000). Modern Computational Perspectives on Executive Mental Processes and Cognitive Control: Where to from Here?. In S. Monsell & J. Driver (eds.) Control of Cognitive Processes: Attention and Performance XVIII, (pp. 681-712). Cambridge, MA: M.I.T. Press, 2000.

  • Kieras, D. & Meyer, D.E. (1997). An overview of the EPIC architecture for cognition and performance with application to human-computer interaction. Human-Computer Interaction, 12, 391-438.

  • Kieras, D.E., Wood, S.D., & Meyer, D.E. (1997). Predictive engineering models based on the EPIC architecture for a multimodal high-performance human-computer interaction task. ACM Transactions on Computer-Human Interaction, 4, 230-275.

  • Meyer, D. E., & Kieras, D. E. (1997). A computational theory of executive cognitive processes and multiple-task performance: Part 2. Accounts of psychological refractory-period phenomena. Psychological Review, 104, 749-791.

  • Meyer, D.E., Kieras, D.E., Lauber, E., Schumacher, E.H., Glass, J., Zurbriggen, E., Gmeindl, L., & Apfelblat, D. (1995). Adaptive executive control: Flexible multiple-task performance without pervasive immutable response-selection bottlenecks. Acta Psychologica, 90, 163-190.

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