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Volumn , Issue , 2001, Pages 109-114

Learning from experience using a decision-theoretic intelligent agent in multi-agent systems

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; MULTI AGENT SYSTEMS; PROBLEM SOLVING; SOFT COMPUTING; SOFTWARE AGENTS;

EID: 1842615315     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SMCIA.2001.936739     Document Type: Conference Paper
Times cited : (12)

References (14)
  • 1
    • 0027560432 scopus 로고
    • Agent oriented programming
    • Y. Shoham, "Agent oriented programming," Artificial Intelligence, vol. 60(1), pp. 51-92, 1993.
    • (1993) Artificial Intelligence , vol.60 , Issue.1 , pp. 51-92
    • Shoham, Y.1
  • 8
    • 0034510151 scopus 로고    scopus 로고
    • A Biological Decision-Theoretic Intelligent Agent Solution to a Herding Problem in the Context of Distributed Multi-Agent Systems
    • October 8-11, Tennessee
    • Sahin, F., Bay, J.S., "A Biological Decision-Theoretic Intelligent Agent Solution to a Herding Problem in the Context of Distributed Multi-Agent Systems", in SMC 2000, IEEE International Conference of Systems, Man, and Cybernetics, October 8-11, 2000, Tennessee.
    • (2000) SMC 2000, IEEE International Conference of Systems, Man, and Cybernetics
    • Sahin, F.1    Bay, J.S.2
  • 13
    • 34249832377 scopus 로고
    • A Bayesian method for induction of probabilistic networks from data
    • G. Cooper and E. Herskovits, "A Bayesian method for induction of probabilistic networks from data," Machine Learning, vol. 9, pp. 309-347, 1992.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.1    Herskovits, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.