Kevin B. Korb, Ann E. Nicholson, Nathalie Jitnah  Home/Search
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Abstract: Poker is ideal for testing automated reasoning under uncertainty. It introduces uncertainty both by physical randomization and by incomplete information about opponents ' hands. Another source of uncertainty is the limited information available to construct psychological models of opponents, their tendencies to bluff, play conservatively, reveal weakness, etc. and the relation between their hand strengths and betting behaviour. All of these uncertainties must be assessed accurately and combined ... (Update)
Context of citations to this paper: More
.... et al. 1999] auctions [Boutilier et al. 1999] intelligent email handling and receiver alerting [Horvitz et al. 1999] poker [Korb et al. 1999]; educational assessment [Mislevy et al. 1999] video advising (choosing the right video to watch tonight) Nguyen and Haddawy...
.... Several attempts have been made to apply machine learning techniques to a particular aspect of poker (some examples include [9, 20, 34, 39]) Similarly, many studies only look at two player poker games. Multi player games are vastly more complicated, even with the usual...
Cited by: More
Artificial Intelligence 134 (2002) 201--240 - The Challenge Of (2002) (Correct)
Opponent Modeling in Poker: Learning and Acting in a Hostile and .. - Davidson (2002) (Correct)
Information-Theoretic Advisors in Invisible Chess. - Bud Albrecht Nicholson (Correct)
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0.3: The Challenge of Poker - Billings, Davidson, Schaeffer.. (2001) (Correct)
0.3: Dealing with Imperfect Information in Poker - Papp (1998) (Correct)
0.2: Computer Poker - Billings (1995) (Correct)
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0.5: Bayesian AI - Nicholson, Korb (1999) (Correct)
0.5: Opponent Modeling in Poker - Billings, Papp, Schaeffer, Szafron (1998) (Correct)
0.5: Learning to Play Strong Poker - Schaeffer, Billings, Peņa, Szafron (1999) (Correct)
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4: GIB: Steps Towards an ExpertLevel Bridge-Playing Program - Ginsberg - 1999
4: Studies in Machine Cognition Using the Game of Poker (context) - Findler - 1977
4: Representations and solutions for game-theoretic problems - Koller, Pfeffer - 1997
BibTeX entry: (Update)
Korb, K. B., Nicholson, A. E., and Jitnah, N. 1999. Bayesian poker. In Proc. 15th Conference on Uncertainty in Articial Intelligence (1999). Morgan Kaufman. http://citeseer.ist.psu.edu/korb99bayesian.html More
@inproceedings{ korbbayesian,
author = "Kevin B. Korb and Ann E. Nicholson and Nathalie Jitnah",
title = "Bayesian Poker",
pages = "343--350",
url = "citeseer.ist.psu.edu/korb99bayesian.html" }
Citations (may not include all citations):760 Probabilistic reasoning in intelligent systems (context) - Pearl - 1988
32 Representations and solutions for game-theoretic problems - Koller, Pfeffer - 1997
18 Studies in machine cognition using the game of poker (context) - Findler - 1977
14 Opponent modeling in poker - Billings, Papp et al. - 1998
5 Foundations of mathematics and other logical essays (context) - Ramsey - 1931
5 Winning poker systems (context) - Zadeh - 1974
1 An expert system that uses Bayesian reasoning to play poker (context) - Jitnah - 1993
1 Theory of games and economic behavior (context) - York, Press et al. - 1953
The graph only includes citing articles where the year of publication is known.
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