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Volumn 2831, Issue , 2003, Pages 205-216

Improving evolutionary learning of cooperative behavior by including accountability of strategy components

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MULTI AGENT SYSTEMS; SOFTWARE AGENTS; DECISION MAKING; INTELLIGENT AGENTS;

EID: 9444248212     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39869-1_18     Document Type: Conference Paper
Times cited : (4)

References (11)
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    • Benda, M.1    Jagannathan, V.2    Dodhiawalla, R.3
  • 2
    • 0036361538 scopus 로고    scopus 로고
    • Being the new guy in an experienced team - Enhancing training on the job
    • ACM Press
    • J. Denzinger and S. Ennis. Being the new guy in an experienced team - enhancing training on the job, Proc. AAMAS-02, ACM Press, 2002, pp. 1246-1253.
    • (2002) Proc. AAMAS-02 , pp. 1246-1253
    • Denzinger, J.1    Ennis, S.2
  • 3
    • 0010276169 scopus 로고    scopus 로고
    • Experiments in learning prototypical situations for variants of the pursuit game
    • AAAI Press
    • J. Denzinger and M. Fuchs. Experiments in Learning Prototypical Situations for Variants of the Pursuit Game, Proc. ICMAS'96, AAAI Press, 1996, pp. 48-55.
    • (1996) Proc. ICMAS'96 , pp. 48-55
    • Denzinger, J.1    Fuchs, M.2
  • 4
    • 84962115498 scopus 로고    scopus 로고
    • Evolutionary on-line learning of cooperative behavior with situation-action-pairs
    • IEEE Press
    • J. Denzinger and M. Kordt. Evolutionary On-line Learning of Cooperative Behavior with Situation-Action-Pairs, Proc. ICMAS'00, IEEE Press, 2000, pp. 103-110.
    • (2000) Proc. ICMAS'00 , pp. 103-110
    • Denzinger, J.1    Kordt, M.2
  • 5
    • 0002363593 scopus 로고
    • Strongly typed genetic programming in evolving cooperation strategies
    • Morgan Kaufmann
    • T. Haynes, R. Wainwright, S. Sen and D. Schoenefeld. Strongly typed genetic programming in evolving cooperation strategies, Proc. 6th GA, Morgan Kaufmann, 1995, pp. 271-278.
    • (1995) Proc. 6th GA , pp. 271-278
    • Haynes, T.1    Wainwright, R.2    Sen, S.3    Schoenefeld, D.4
  • 6
    • 0000929496 scopus 로고    scopus 로고
    • Multiagent reinforcement learning: Theoretical framework and an algorithm
    • AAAI Press
    • J. Hu and M.P. Wellman. Multiagent reinforcement learning: theoretical framework and an algorithm, Proc. 15th Machine Learning, AAAI Press, 1998, pp. 242-250.
    • (1998) Proc. 15th Machine Learning , pp. 242-250
    • Hu, J.1    Wellman, M.P.2
  • 7
    • 4444225146 scopus 로고    scopus 로고
    • Learning classifier systems from a reinforcement learning perspective
    • Politecnico di Milano
    • P.L. Lanzi. Learning Classifier Systems from a Reinforcement Learning Perspective, Technical Report 00-03, Politecnico di Milano, 2000.
    • (2000) Technical Report 00-03
    • Lanzi, P.L.1
  • 8
    • 9444298074 scopus 로고
    • Designing good pursuit problems as testbeds for distributed AI: A novel application of genetic algorithms
    • M. Manela and J.A. Campbell. Designing good pursuit problems as testbeds for distributed AI: a novel application of genetic algorithms, Proc. 5th MAAMAW, 1993, pp. 231-252.
    • (1993) Proc. 5th MAAMAW , pp. 231-252
    • Manela, M.1    Campbell, J.A.2
  • 10
    • 85152198941 scopus 로고
    • Multi-agent reinforcement learning: Independent vs cooperative agents
    • Morgan Kaufmann
    • M. Tan. Multi-agent reinforcement learning: Independent vs cooperative agents, Proc. 10th Machine Learning, Morgan Kaufmann, 1993, pp. 330-337.
    • (1993) Proc. 10th Machine Learning , pp. 330-337
    • Tan, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.