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Volumn 2, Issue , 2003, Pages 728-735

Learning to Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining

Author keywords

[No Author keywords available]

Indexed keywords

BARGAINING; GAME PAYOFFS; MULTI-AGENT LEARNING; SOCIAL DILEMMA;

EID: 1942452233     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (23)
  • 2
    • 84974185475 scopus 로고
    • Institutional structure and the logic of ongoing collective action
    • Bendor, J., & Mookherjee, D. (1987). Institutional structure and the logic of ongoing collective action. The American Political Science Review, 81, 129-154.
    • (1987) The American Political Science Review , vol.81 , pp. 129-154
    • Bendor, J.1    Mookherjee, D.2
  • 6
    • 0001283474 scopus 로고    scopus 로고
    • Reinforcement-based vs. belief-based learning models in experimental assymetric-information games
    • Feltovich, N. (2000). Reinforcement-based vs. belief-based learning models in experimental assymetric-information games. Econometrica, 68, 605-641.
    • (2000) Econometrica , vol.68 , pp. 605-641
    • Feltovich, N.1
  • 7
    • 0030222914 scopus 로고    scopus 로고
    • When is universal contribution best for the group? Characterizing optimality in the prisoner's dilemma
    • Frolich, N., & Oppenheimer, J. (1996). When is universal contribution best for the group? Characterizing optimality in the prisoner's dilemma. Journal of Conflict Resolution, 40, 502-516.
    • (1996) Journal of Conflict Resolution , vol.40 , pp. 502-516
    • Frolich, N.1    Oppenheimer, J.2
  • 14
    • 0000221289 scopus 로고
    • Rational learning leads to Nash equilibrium
    • Kalai, E., & Lehrer, E. (1993). Rational learning leads to Nash equilibrium. Econometrica, 61, 1019-1045.
    • (1993) Econometrica , vol.61 , pp. 1019-1045
    • Kalai, E.1    Lehrer, E.2
  • 19
    • 0030050933 scopus 로고
    • Multiagent reinforcement learning in the iterated prisoner's dilemma
    • Special Issue on the Prisoner's Dilemma
    • Sandholm, T., & Crites, R. (1995). Multiagent reinforcement learning in the iterated prisoner's dilemma. Biosystems, 37, 147-166. Special Issue on the Prisoner's Dilemma.
    • (1995) Biosystems , vol.37 , pp. 147-166
    • Sandholm, T.1    Crites, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.