메뉴 건너뛰기




Volumn FS-04-02, Issue , 2004, Pages 103-110

Safe strategies for agent modelling in games

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; GAME THEORY; RESEARCH AND DEVELOPMENT MANAGEMENT;

EID: 32844468744     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (42)

References (15)
  • 3
    • 0007953502 scopus 로고    scopus 로고
    • The first international roshambo programming competition
    • Billings, D. 2000. The first international roshambo programming competition. International Computer Games Association Journal 23(1):3-8,42-50.
    • (2000) International Computer Games Association Journal , vol.23 , Issue.1 , pp. 3-8
    • Billings, D.1
  • 4
    • 0036531878 scopus 로고    scopus 로고
    • Multiagent learning using a variable learning rate
    • Bowling, M., and Veloso, M. 2002. Multiagent learning using a variable learning rate. Artificial Intelligence 136(2):215-250.
    • (2002) Artificial Intelligence , vol.136 , Issue.2 , pp. 215-250
    • Bowling, M.1    Veloso, M.2
  • 5
    • 0040180101 scopus 로고
    • Some notes on computation of games solutions
    • The RAND Corporation, Santa Monica, California
    • Brown, G. W. 1949. Some notes on computation of games solutions. RAND Report P-78, The RAND Corporation, Santa Monica, California.
    • (1949) RAND Report , vol.P-78
    • Brown, G.W.1
  • 14
    • 0001402950 scopus 로고
    • An iterative method of solving a game
    • Robinson, J. 1951. An iterative method of solving a game. Annals of Mathematics 54:296-301.
    • (1951) Annals of Mathematics , vol.54 , pp. 296-301
    • Robinson, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.