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The lagging anchor model for game learning--a solution to the Crawford puzzle

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  • Dahl, F.A.

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  • Dahl, F.A., 2005. "The lagging anchor model for game learning--a solution to the Crawford puzzle," Journal of Economic Behavior & Organization, Elsevier, vol. 57(3), pages 287-303, July.
    • Handle: RePEc:eee:jeborg:v:57:y:2005:i:3:p:287-303
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    References listed on IDEAS

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    1. Fudenberg, Drew & Levine, David, 1998. "Learning in games," European Economic Review, Elsevier, vol. 42(3-5), pages 631-639, May.
    2. 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.
    3. Crawford, Vincent P, 1974. "Learning the Optimal Strategy in a Zero-Sum Game," Econometrica, Econometric Society, vol. 42(5), pages 885-891, September.
    4. Conlisk, John, 1993. "Adaptive tactics in games : Further solutions to the Crawford puzzle," Journal of Economic Behavior & Organization, Elsevier, vol. 22(1), pages 51-68, September.
    5. Tang, Fang-Fang, 2001. "Anticipatory learning in two-person games: some experimental results," Journal of Economic Behavior & Organization, Elsevier, vol. 44(2), pages 221-232, February.
    6. Crawford, Vincent P., 1985. "Learning behavior and mixed-strategy Nash equilibria," Journal of Economic Behavior & Organization, Elsevier, vol. 6(1), pages 69-78, March.
    7. Drew Fudenberg & David K. Levine, 1998. "The Theory of Learning in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061945, December.
    8. Thomas Brenner, 1998. "Can evolutionary algorithms describe learning processes?," Journal of Evolutionary Economics, Springer, vol. 8(3), pages 271-283.
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