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In computer science, poker has been used as a testbed in different
areas such as cognitive science, machine learning, search techniques
and Bayesian networks.
Since the founding of game theory by John Von Neumann
[von Neumann and Morgensternvon Neumann and
Morgenstern1953], poker has been the subject of mathematical and
economics analyses. However, these studies have often used
oversimplified versions of poker, making most of the work done in these
areas not applicable to the development of strong poker-playing
During the 1950's most of the interest was in simplified poker models
which imposed severe restrictions on the usefulness of the research.
Many models consisted of only one betting action per round and did
not include the drawing of cards. Strategies developed during the study
of these models would have to be modified and adapted significantly to
be of any usefulness for the successful play of ``real'' poker and
would in most cases require an entirely new framework to start from.
Jason R Carlton