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Volumn 1, Issue , 2007, Pages 171-175

Heuristics in monte carlo go

Author keywords

Artificial intelligence; Go game; Heuristics; Monte Carlo; UCT

Indexed keywords

ASIAN GAMES; BOARD POSITION; FIRST-ORDER; GAME TREE SEARCH; GO-GAME; GRAND CHALLENGE; HEURISTICS; MONTE CARLO; MONTE CARLO SAMPLING; SEARCH SPACES; SECOND ORDERS; STATIC EVALUATION; UCT;

EID: 79951758119     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (18)

References (12)
  • 1
    • 0035479281 scopus 로고    scopus 로고
    • Computer Go: An AI oriented survey
    • DOI 10.1016/S0004-3702(01)00127-8, PII S0004370201001278
    • Bouzy, B., and Cazenave, T. 2001. Computer Go: an AI Oriented Survey. Artificial Intelligence 132(I):39-103. (Pubitemid 32888154)
    • (2001) Artificial Intelligence , vol.132 , Issue.1 , pp. 39-103
    • Bouzy, B.1    Cazenave, T.2
  • 7
    • 62949190602 scopus 로고
    • New York, NY: American Go Association
    • Baker, K. The Way to Go. 1986. New York, NY: American Go Association.
    • (1986) The Way to Go
    • Baker, K.1
  • 11
    • 0024767179 scopus 로고
    • History heuristic and alpha-beta search enhancements in practice
    • DOI 10.1109/34.42858
    • Schaeffer, J. 1989. The History Heuristic and Alpha-Beta Search Enhancements in Practice. IEEE Transactions on Pattern Analysis and Machine Intelligence 11(11):1203-1212, (Pubitemid 20630610)
    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , Issue.11 , pp. 1203-1212
    • Schaeffer Jonathan1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.