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Volumn 57, Issue 3, 2005, Pages 287-303

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

Author keywords

Convergence; Crawford puzzle; Learning in games; Reinforcement learning

Indexed keywords


EID: 19644371249     PISSN: 01672681     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jebo.2003.09.018     Document Type: Article
Times cited : (4)

References (14)
  • 1
    • 0032220054 scopus 로고    scopus 로고
    • Can evolutionary algorithms describe learning processes?
    • T. Brenner Can evolutionary algorithms describe learning processes? Journal of Evolutionary Economics 8 3 1998 271-283
    • (1998) Journal of Evolutionary Economics , vol.8 , Issue.3 , pp. 271-283
    • Brenner, T.1
  • 3
    • 38248999440 scopus 로고
    • Adaptive tactics in games-further solutions to the Crawford puzzle
    • J. Conlisk Adaptive tactics in games-further solutions to the Crawford puzzle Journal of Economic Behavior and Organizations 22 1993 51-68
    • (1993) Journal of Economic Behavior and Organizations , vol.22 , pp. 51-68
    • Conlisk, J.1
  • 4
    • 0000379898 scopus 로고
    • Learning the optimal strategy in a zero-sum game
    • V.P. Crawford Learning the optimal strategy in a zero-sum game Econometrica 42 1974 885-891
    • (1974) Econometrica , vol.42 , pp. 885-891
    • Crawford, V.P.1
  • 6
    • 0038969709 scopus 로고
    • Learning and mixed-strategy equilibria in evolutionary games
    • V.P. Crawford Learning and mixed-strategy equilibria in evolutionary games Journal of Theoretical Biology 140 1989 537-550
    • (1989) Journal of Theoretical Biology , vol.140 , pp. 537-550
    • Crawford, V.P.1
  • 7
    • 0036778915 scopus 로고    scopus 로고
    • The lagging anchor algorithm-reinforcement learning in two-player zero-sum games with imperfect information
    • F.A. Dahl The lagging anchor algorithm-reinforcement learning in two-player zero-sum games with imperfect information Machine Learning 49 1 2002 5-37
    • (2002) Machine Learning , vol.49 , Issue.1 , pp. 5-37
    • Dahl, F.A.1
  • 8
    • 0038829878 scopus 로고    scopus 로고
    • Predicting how people play games: Reinforcement learning in experimental games with unique, mixed strategy equilibria
    • I. Erev A.E. Roth Predicting how people play games: Reinforcement learning in experimental games with unique, mixed strategy equilibria The American Economic Review 88 1998 848-881
    • (1998) The American Economic Review , vol.88 , pp. 848-881
    • Erev, I.1    Roth, A.E.2
  • 12
    • 19644362443 scopus 로고
    • Game Equilibrium Models
    • R. Selten Anticipatory learning in two-person games R. Selten Game Equilibrium Models Evolution and Game Dynamics vol. I 1991 Springer-Verlag Berlin 98-154
    • (1991) Evolution and Game Dynamics , vol.1 , pp. 98-154
    • Selten, R.1
  • 13
    • 0000896485 scopus 로고    scopus 로고
    • Anticipatory learning in two-person games: Some experimental results
    • F.F. Tang Anticipatory learning in two-person games: Some experimental results Journal of Economic Behavior and Organizations 44 2 2001 221-232
    • (2001) Journal of Economic Behavior and Organizations , vol.44 , Issue.2 , pp. 221-232
    • Tang, F.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.