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Volumn , Issue , 2012, Pages 654-664

Exploiting structure in cooperative bayesian games

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN GAME; CALL TYPES; COMPUTATION TIME; FACTOR GRAPHS; IMPERFECT INFORMATION; MODELING DECISION MAKINGS; PERFECT INFORMATIONS;

EID: 84885985853     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (47)
  • 8
    • 0033188982 scopus 로고    scopus 로고
    • Bucket elimination: A unifying framework for reasoning
    • Sept
    • R. Dechter. Bucket elimination: a unifying framework for reasoning. Artificial Intelligence, 113:41-85, Sept. 1999.
    • (1999) Artificial Intelligence , vol.113 , pp. 41-85
    • Dechter, R.1
  • 13
    • 0000725056 scopus 로고
    • Games with incomplete information played by 'bayesian' players, parts i, ii and ii
    • 320-334, 486-502. 1968
    • J. C. Harsanyi. Games with incomplete information played by 'Bayesian' players, parts I, II and II. Management Science, 14:159-182, 320-334, 486-502, 1967-1968.
    • (1967) Management Science , vol.14 , pp. 159-182
    • Harsanyi, J.C.1
  • 17
    • 0032073263 scopus 로고    scopus 로고
    • Planning and acting in partially observable stochastic domains
    • L. P. Kaelbling, M. L. Littman, and A. R. Cassandra. Planning and acting in partially observable stochastic domains. Artificial Intelligence, 101(1-2):99-134, 1998.
    • (1998) Artificial Intelligence , vol.101 , Issue.1-2 , pp. 99-134
    • Kaelbling, L.P.1    Littman, M.L.2    Cassandra, A.R.3
  • 18
    • 84926111807 scopus 로고    scopus 로고
    • Graphical games
    • In N. Nisan, T. Roughgarden, E. Tardos, and V. Vazirani, editors, Cambridge University Press, Sept
    • M. J. Kearns. Graphical games. In N. Nisan, T. Roughgarden, E. Tardos, and V. Vazirani, editors, Algorithmic Game Theory. Cambridge University Press, Sept. 2007.
    • (2007) Algorithmic Game Theory
    • Kearns, M.J.1
  • 20
    • 33748562008 scopus 로고    scopus 로고
    • Using the max-plus algorithm for multiagent decision making in coordination graphs
    • Osaka, Japan, July
    • J. R. Kok and N. Vlassis. Using the max-plus algorithm for multiagent decision making in coordination graphs. In RoboCup-2005: Robot Soccer World Cup IX, Osaka, Japan, July 2005.
    • (2005) RoboCup-2005: Robot Soccer World Cup IX
    • Kok, J.R.1    Vlassis, N.2
  • 21
    • 33748543203 scopus 로고    scopus 로고
    • Collaborative multiagent reinforcement learning by payoff propagation
    • J. R. Kok and N. Vlassis. Collaborative multiagent reinforcement learning by payoff propagation. Journal of Machine Learning Research, 7:1789-1828, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1789-1828
    • Kok, J.R.1    Vlassis, N.2
  • 23
    • 0141503453 scopus 로고    scopus 로고
    • Multi-agent influence diagrams for representing and solving games
    • Oct
    • D. Koller and B. Milch. Multi-agent influence diagrams for representing and solving games. Games and Economic Behavior, 45(1):181-221, Oct. 2003.
    • (2003) Games and Economic Behavior , vol.45 , Issue.1 , pp. 181-221
    • Koller, D.1    Milch, B.2
  • 27
    • 80955142766 scopus 로고    scopus 로고
    • Most probable explanations in bayesian networks: Complexity and tractability
    • J. Kwisthout. Most probable explanations in Bayesian networks: Complexity and tractability. International Journal of Approximate Reasoning, 52(9), 2011.
    • (2011) International Journal of Approximate Reasoning , vol.52 , Issue.9
    • Kwisthout, J.1
  • 29
    • 69249213986 scopus 로고    scopus 로고
    • And/or branch-and-bound search for combinatorial optimization in graphical models
    • R. Marinescu and R. Dechter. And/or branch-and-bound search for combinatorial optimization in graphical models. Artificial Intelligence, 173(16-17):1457-1491, 2009.
    • (2009) Artificial Intelligence , vol.173 , Issue.16-17 , pp. 1457-1491
    • Marinescu, R.1    Dechter, R.2
  • 30
    • 84886054728 scopus 로고    scopus 로고
    • J. M. Mooij libDAI: library for discrete approximate inference, 2008
    • J. M. Mooij. libDAI: library for discrete approximate inference, 2008. URL http://www.jorismooij.nl/.
  • 37
    • 26444601262 scopus 로고    scopus 로고
    • Cooperative multi-agent learning: The state of the art
    • L. Panait and S. Luke. Cooperative multi-agent learning: The state of the art. Autonomous Agents and Multi-Agent Systems, 11(3):387-434, 2005.
    • (2005) Autonomous Agents and Multi-Agent Systems , vol.11 , Issue.3 , pp. 387-434
    • Panait, L.1    Luke, S.2
  • 39
    • 78650949545 scopus 로고    scopus 로고
    • Bounded approximate decentralised coordination via the max-sum algorithm
    • A. Rogers, A. Farinelli, R. Stranders, and N. Jennings. Bounded approximate decentralised coordination via the max-sum algorithm. Artificial Intelligence, 175(2):730-759, 2011.
    • (2011) Artificial Intelligence , vol.175 , Issue.2 , pp. 730-759
    • Rogers, A.1    Farinelli, A.2    Stranders, R.3    Jennings, N.4
  • 43
    • 0032096675 scopus 로고    scopus 로고
    • Multiagent systems
    • K. P. Sycara. Multiagent systems. AI Magazine, 19(2): 79-92, 1998.
    • (1998) AI Magazine , vol.19 , Issue.2 , pp. 79-92
    • Sycara, K.P.1
  • 44
    • 0022062265 scopus 로고
    • On the complexity of decentralized decision making and detection problems
    • J. Tsitsiklis and M. Athans. On the complexity of decentralized decision making and detection problems. IEEE Transactions on Automatic Control, 30(5):440-446, 1985.
    • (1985) IEEE Transactions on Automatic Control , vol.30 , Issue.5 , pp. 440-446
    • Tsitsiklis, J.1    Athans, M.2
  • 46
    • 52949118902 scopus 로고    scopus 로고
    • A concise introduction to multiagent systems and distributed artificial intelligence
    • Morgan &Claypool Publishers
    • N. Vlassis. A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence. Synthesis Lectures on Artificial Intelligence and Machine Learning. Morgan &Claypool Publishers, 2007.
    • (2007) Synthesis Lectures on Artificial Intelligence and Machine Learning
    • Vlassis, N.1
  • 47
    • 3943084089 scopus 로고    scopus 로고
    • Tree consistency and bounds on the performance of the maxproduct algorithm and its generalizations
    • M. Wainwright, T. Jaakkola, and A. Willsky. Tree consistency and bounds on the performance of the maxproduct algorithm and its generalizations. Statistics and Computing, 14(2):143-166, 2004.
    • (2004) Statistics and Computing , vol.14 , Issue.2 , pp. 143-166
    • Wainwright, M.1    Jaakkola, T.2    Willsky, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.