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Volumn 2457, Issue , 2002, Pages 255-263

Modular-fuzzy cooperation algorithm for multi-agent systems

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; FUZZY INFERENCE; FUZZY LOGIC; FUZZY RULES; INFORMATION SYSTEMS; INFORMATION USE; REINFORCEMENT LEARNING;

EID: 80053654761     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36077-8_26     Document Type: Conference Paper
Times cited : (4)

References (14)
  • 7
    • 0000123778 scopus 로고
    • Self-improving reactive agents based on reinforcement learning, planning and teaching
    • L. J. Lin. “Self-improving reactive agents based on reinforcement learning, planning and teaching“, Machine Learning, Vol: 8, pp: 293–321, 1992.
    • (1992) Machine Learning , vol.8 , pp. 293-332
    • Lin, L.J.1
  • 9
    • 0001435241 scopus 로고    scopus 로고
    • Multi-Agent Reinforcement Learning: An Approach Based on the Other Agents Internal Model”
    • 215-221, Los Alamitos: IEEE Computer Society
    • Y. Nagayuki, S. Ishii and K. Doya. “Multi-Agent Reinforcement Learning: An Approach Based on the Other Agent’s Internal Model” Fourth International Conference on MultiAgent Systems (ICMAS), 215-221, Los Alamitos: IEEE Computer Society (2000).
    • (2000) Fourth International Conference on Multiagent Systems (ICMAS)
    • Nagayuki, Y.1    Ishii, S.2    Doya, K.3
  • 11
    • 0035978635 scopus 로고    scopus 로고
    • Modular Q-learning based multi-agent cooperation for robot soccer
    • K. H. Park, Y. J. Kim and J. H. Kim. “Modular Q-learning based multi-agent cooperation for robot soccer”, Robotics and Autonomous Systems Vol:35, pp:109–122, 2001.
    • (2001) Robotics and Autonomous Systems Vol:35 , pp. 109-112
    • Park, K.H.1    Kim, Y.J.2    Kim, J.H.3
  • 12
    • 0030050933 scopus 로고
    • Multi agent reinforcement learning in the Iterated Prisoners Dilemma”
    • T. W. Sandholm and R. H. Crites. “Multi agent reinforcement learning in the Iterated Prisoner’s Dilemma”, Biosystems, 37:147–166, 1995.
    • (1995) Biosystems , vol.37 , pp. 147-166
    • Sandholm, T.W.1    Crites, R.H.2
  • 14
    • 34249833101 scopus 로고
    • Technical Note: Q-Learning
    • C. J. C. H. Watkins and P. Dayan. “Technical Note: Q-Learning” Machine Learning, 8:279–92, 1992.
    • (1992) Machine Learning , vol.8 , pp. 279-292
    • Watkins, C.1    Dayan, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.