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Volumn , Issue , 2001, Pages 1128-1134

Stable strategies for sharing information among agents

Author keywords

[No Author keywords available]

Indexed keywords

COOPERATIVE EQUILIBRIUM; EXPECTED UTILITY; INFORMATION EXCHANGES; INFORMATION SHARING; POTENTIAL BUYERS; SHARING INFORMATION; STABLE STRATEGIES; TWO AGENTS;

EID: 0002037573     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 2
    • 0030365402 scopus 로고    scopus 로고
    • Learning models of intelligent agents
    • D. Carmel and S. Markovitch. Learning models of intelligent agents. In Proc. of AAAI-96, pages 62-67, 1996.
    • (1996) Proc. of AAAI-96 , pp. 62-67
    • Carmel, D.1    Markovitch, S.2
  • 4
    • 0029547692 scopus 로고
    • Efficient algorithms for learning to play repeated games against computationally bounded adversaries
    • Y. Freund, M. Kearns, D. Ron Y. Mansour, R. Rubinfeld, and R. Schapire. Efficient algorithms for learning to play repeated games against computationally bounded adversaries. In FOCS-95, pages 332-341, 1995.
    • (1995) FOCS-95 , pp. 332-341
    • Freund, Y.1    Kearns, M.2    Ron, D.3    Mansour, Y.4    Rubinfeld, R.5    Schapire, R.6
  • 8
    • 0000505453 scopus 로고
    • Repeated principal agents games with discounting
    • R. Radner. Repeated principal agents games with discounting. Econometrica, 53:1173-1198, 1985.
    • (1985) Econometrica , vol.53 , pp. 1173-1198
    • Radner, R.1
  • 9
    • 84934563785 scopus 로고
    • Reputation and efficiency in social interactions: An example of network effects
    • November
    • W. Raub and J. Weesie. Reputation and efficiency in social interactions: An example of network effects. American Journal of Sociology, 96 (3):626-654, November 1990.
    • (1990) American Journal of Sociology , vol.96 , Issue.3 , pp. 626-654
    • Raub, W.1    Weesie, J.2
  • 10
    • 0030050933 scopus 로고
    • Multiagent reinforcement learning in the iterated prisoner's dilemma
    • T. W. Sandholm and R. H. Crites. Multiagent reinforcement learning in the iterated prisoner's dilemma. Biosystems, pages 147-166, 1995.
    • (1995) Biosystems , pp. 147-166
    • Sandholm, T.W.1    Crites, R.H.2
  • 11
    • 0001624494 scopus 로고
    • Adaptive load balancing: A study in multi-agent learning
    • A. Schaerf, Y. Shoham, and M. Tennenholtz. Adaptive load balancing: A study in multi-agent learning. JAIR, 2:475-500, 1995.
    • (1995) JAIR , vol.2 , pp. 475-500
    • Schaerf, A.1    Shoham, Y.2    Tennenholtz, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.