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Learning in Dynamic Decision Tasks: Computational Model and Empirical Evidence

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  • Gibson, Faison P.
  • Fichman, Mark
  • Plaut, David C.

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  • Gibson, Faison P. & Fichman, Mark & Plaut, David C., 1997. "Learning in Dynamic Decision Tasks: Computational Model and Empirical Evidence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 71(1), pages 1-35, July.
    • Handle: RePEc:eee:jobhdp:v:71:y:1997:i:1:p:1-35
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    Citations

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    Cited by:

    1. Gibson, Faison P., 2000. "Feedback Delays: How Can Decision Makers Learn Not to Buy a New Car Every Time the Garage Is Empty?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 141-166, September.
    2. Kuperman, Ranan, 2011. "Coping with Conflict:A Dynamic Decision Making Perspective," NEPS Working Papers 3/2011, Network of European Peace Scientists.
    3. F. Javier Lerch & Donald E. Harter, 2001. "Cognitive Support for Real-Time Dynamic Decision Making," Information Systems Research, INFORMS, vol. 12(1), pages 63-82, March.
    4. Christina Fang & Daniel Levinthal, 2009. "Near-Term Liability of Exploitation: Exploration and Exploitation in Multistage Problems," Organization Science, INFORMS, vol. 20(3), pages 538-551, June.
    5. Vancouver, Jeffrey B. & Putka, Dan J., 2000. "Analyzing Goal-Striving Processes and a Test of the Generalizability of Perceptual Control Theory," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(2), pages 334-362, July.
    6. Faison P. Gibson, 2007. "Learning and transfer in dynamic decision environments," Computational and Mathematical Organization Theory, Springer, vol. 13(1), pages 39-61, March.
    7. Gonzalez, Cleotilde, 2005. "Decision support for real-time, dynamic decision-making tasks," Organizational Behavior and Human Decision Processes, Elsevier, vol. 96(2), pages 142-154, March.
    8. Vancouver, Jeffrey B. & Weinhardt, Justin M. & Vigo, Ronaldo, 2014. "Change one can believe in: Adding learning to computational models of self-regulation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 124(1), pages 56-74.
    9. Cleotilde Gonzalez & Jose Quesada, 2003. "Learning in Dynamic Decision Making: The Recognition Process," Computational and Mathematical Organization Theory, Springer, vol. 9(4), pages 287-304, December.
    10. Jerker. Denrell & Christina. Fang & Daniel A. Levinthal, 2004. "From T-Mazes to Labyrinths: Learning from Model-Based Feedback," Management Science, INFORMS, vol. 50(10), pages 1366-1378, October.
    11. Faison P. Gibson, 2002. "Is It Better to Forget? Stimulus-Response, Prediction, and the Weight of Past Experience in a Fast-Paced Bargaining Task," Computational and Mathematical Organization Theory, Springer, vol. 8(1), pages 31-47, May.

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