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Volumn , Issue , 2008, Pages 145-152

Knowledge combination in graphical multiagent models

Author keywords

[No Author keywords available]

Indexed keywords

AGENT BEHAVIOR; ARBITRARY DISTRIBUTION; COMBINATION METHOD; COMBINED MODEL; JOINT DISTRIBUTIONS; KNOWLEDGE SOURCES; MULTI-AGENT MODEL; PREDICTIVE PERFORMANCE;

EID: 80053245537     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 1
    • 33748700190 scopus 로고    scopus 로고
    • Computing pure nash equilibria in graphical games via markov random fields
    • Proceedings of the 7th ACM Conference on Electronic Commerce 2006
    • Daskalakis, C. and Papadimitriou, C. H. (2006). Computing pure Nash equilibria in graphical games via Markov random fields. In Seventh ACM conference on Electronic Commerce, pages 91-99, Ann Arbor. (Pubitemid 44393628)
    • (2006) Proceedings of the ACM Conference on Electronic Commerce , vol.2006 , pp. 91-99
    • Daskalakis, C.1    Papadimitriou, C.H.2
  • 2
    • 55349100559 scopus 로고    scopus 로고
    • Networks of influence diagrams: A formalism for reasoning about agents' decision-making processes
    • Gal, Y. and Pfeffer, A. (2008). Networks of influence diagrams: A formalism for reasoning about agents' decision-making processes. Journal of Artificial Intelligence Research.
    • (2008) Journal of Artificial Intelligence Research
    • Gal, Y.1    Pfeffer, A.2
  • 4
    • 85153938292 scopus 로고
    • Reinforcement learning algorithm for partially observable Markov decision problems
    • Jaakkola, T., Singh, S., and Jordan, M. I. (1995). Reinforcement learning algorithm for partially observable Markov decision problems. In Advances in Neural Information Processing Systems 7, pages 345-352.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 345-352
    • Jaakkola, T.1    Singh, S.2    Jordan, M.I.3
  • 5
    • 0031270816 scopus 로고    scopus 로고
    • Mean field approach to learning in Boltzmann Machines
    • PII S0167865597000962
    • Kappen, H. J. and Rodríguez, F. B. (1997). Mean field approach to learning in Boltzmann machines. Pattern Recognition Letters, 18:1317-1322. (Pubitemid 127433094)
    • (1997) Pattern Recognition Letters , vol.18 , Issue.11-13 , pp. 1317-1322
    • Kappen, H.J.1    Rodriguez, F.B.2
  • 6
    • 80053262618 scopus 로고    scopus 로고
    • Computational game theory: A tutorial
    • Presented
    • Kearns, M. (2002). Computational game theory: A tutorial. http://www.cis.upenn.edu/~mkearns/nips02tutorial/nips.pdf. Presented at the Neural In-formation Processing Systems conference.
    • (2002) Neural In-formation Processing Systems Conference
    • Kearns, M.1
  • 7
    • 84926111807 scopus 로고    scopus 로고
    • Graphical games
    • Nisan, N., Roughgarden, T., Tardos, E., and Vazirani, V. V., editors Cambridge University Press
    • Kearns, M. (2007). Graphical games. In Nisan, N., Roughgarden, T., Tardos, E., and Vazirani, V. V., editors, Algorithmic Game Theory, pages 159-180. Cambridge University Press.
    • (2007) Algorithmic Game Theory , pp. 159-180
    • Kearns, M.1
  • 9
    • 0141503453 scopus 로고    scopus 로고
    • Multi-agent influence diagrams for representing and solving games
    • DOI 10.1016/S0899-8256(02)00544-4
    • Koller, D. and Milch, B. (2003). Multi-agent influence diagrams for representing and solving games. Games and Economic Behavior, 45:181-221. (Pubitemid 37194965)
    • (2003) Games and Economic Behavior , vol.45 , Issue.1 , pp. 181-221
    • Koller, D.1    Milch, B.2
  • 11
    • 38049101535 scopus 로고    scopus 로고
    • Graphical models for groups: Belief aggregation and risk sharing
    • Pennock, D. M. and Wellman, M. P. (2005). Graphical models for groups: Belief aggregation and risk sharing. Decision Analysis, 2:148-164.
    • (2005) Decision Analysis , vol.2 , pp. 148-164
    • Pennock, D.M.1    Wellman, M.P.2
  • 13
    • 14344265932 scopus 로고    scopus 로고
    • Information theory: The bridge connecting bounded rational game theory and statistical physics
    • Springer
    • Wolpert, D. H. (2006). Information theory: The bridge connecting bounded rational game theory and statistical physics. In Complex Engineered Systems. Springer.
    • (2006) Complex Engineered Systems
    • Wolpert, D.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.