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Introduction: Learning in Dynamic, On-Line Environments

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  • Faison P. Gibson

    (Michigan Business School)

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  • Faison P. Gibson, 2003. "Introduction: Learning in Dynamic, On-Line Environments," Computational and Mathematical Organization Theory, Springer, vol. 9(4), pages 283-285, December.
    • Handle: RePEc:spr:comaot:v:9:y:2003:i:4:d:10.1023_b:cmot.0000029086.73734.4e
    DOI: 10.1023/B:CMOT.0000029086.73734.4e
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    References listed on IDEAS

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    1. Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-881, September.
    2. Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
    3. Sterman, John., 1994. "Learning in and about complex systems," Working papers 3660-94., Massachusetts Institute of Technology (MIT), Sloan School of Management.
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