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Volumn , Issue , 2007, Pages 2106-2113

Evolving explicit opponent models in game playing

Author keywords

AI; Artificial intelligence; Evolutionary computation; Games of imperfect information; Neural networks; Neuroevolution; Opponent modeling

Indexed keywords

COMPUTER ARCHITECTURE; EVOLUTIONARY ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS;

EID: 34548100057     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1276958.1277367     Document Type: Conference Paper
Times cited : (39)

References (15)
  • 5
    • 34548063270 scopus 로고    scopus 로고
    • Phased Searching with NEAT: Alternating Between Complexification and Simplification. Unpublished manuscript
    • Green, C. Phased Searching with NEAT: Alternating Between Complexification and Simplification. Unpublished manuscript; http://sharpneat.sourceforge.net/phasedsearch.html. 2004
    • (2004)
    • Green, C.1
  • 8
    • 0025489075 scopus 로고
    • The Self-Organizing Map
    • Kohonen, T. The Self-Organizing Map. Proceedings of the IEEE, vol. 78. 1990, 1464-1480.
    • (1990) Proceedings of the IEEE , vol.78 , pp. 1464-1480
    • Kohonen, T.1
  • 10
    • 33750138766 scopus 로고    scopus 로고
    • Automatically Generating Game Tactics via Evolutionary Learning
    • AAAI Press, Madison, WI
    • Ponsen, M., Munoz-Avila, H., Spronck, P., and Aha, D. Automatically Generating Game Tactics via Evolutionary Learning. AIMagazine, 27(3). AAAI Press, Madison, WI, 2005, 75-84.
    • (2005) AIMagazine, 27(3) , pp. 75-84
    • Ponsen, M.1    Munoz-Avila, H.2    Spronck, P.3    Aha, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.