Poker as a testbed for ai research

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1418, Issue , 1998, Pages 228-238

  Billings, Darse ^a   Papp, Denis ^a   Schaeffer, Jonathan ^a   Szafron, Duane ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; HEURISTIC ALGORITHMS; HEURISTIC METHODS; RISK MANAGEMENT; TESTBEDS;

AGENT MODEL; ARTIFICIAL INTELLIGENCE RESEARCH; BOARD GAMES; DECISION-MAKING PROBLEM; EVALUATION METHODS; HEURISTIC SEARCH; MACHINE INTELLIGENCE; REAL-WORLD;

DECISION MAKING;

EID: 84876767994     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-64575-6_53     Document Type: Conference Paper

References (8)

1. J. von Neumann and O. Morgenstern, Theory of Games and Economic Behavior, Princeton University Press, 1944.
2. N. Ankeny, Poker Strategy: Winning with Game Theory, Basic Books, Inc., 1981.
3. M. Sakaguchi and S. Sakai, Solutions of Some Three-person Stud and Draw Poker, Mathematics Japonica 37, 6(1992), 1147-1160.
4. D. Sklansky and M. Malmuth, Hold’em Poker for Advanced Players, Two Plus Two Publishing, 1994.
5. N. Findler, Studies in Machine Cognition Using the Game of Poker, Communications of the ACM 20, 4 (1977), 230-245.
6. D. Billings, Computer Poker, M.Sc. thesis, Dept, of Computing Science, University of Alberta, 1995.
7. D. Koller and A. Pfeffer, Representations and Solutions for Game-Theoretic Problems, Artificial Intelligence 94, 1-2(1997), 167-215.
8. D. Carmel and S. Markovitch, Incorporating Opponent Models into Adversary Search, AAAI, 1996, 120-125.