The challenge of poker

The challenge of poker

0.00 Avg rating0 Votes
Article ID: iaor20032937
Country: United States
Volume: 134
Issue: 1/2
Start Page Number: 201
End Page Number: 240
Publication Date: Jan 2002
Journal: Artificial Intelligence
Authors: , , ,
Keywords: artificial intelligence, optimization
Abstract:

Poker is an interesting test-bed for artificial intelligence research. It is a game of imperfect information, where multiple competing agents must deal with probabilistic knowledge, risk assessment, and possible deception, not unlike decisions made in the real world. Opponent modelling is another difficult problem in decision-making applications, and it is essential to achieving high performance in poker. This paper describes the design considerations and architecture of the poker-program Poki. In addition to methods for hand evaluation and betting strategy, Poki uses learning techniques to construct statistical models of each opponent, and dynamically adapts to exploit observed patterns and tendencies. The result is a program capable of playing reasonably strong poker, but there remains considerable research to be done to play at a world-class level.

Reviews

Required fields are marked *. Your email address will not be published.