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» Evolving Adaptive Play for the Game of Spoof Using Genetic P...
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CIG
2006
IEEE
13 years 11 months ago
Evolving Adaptive Play for the Game of Spoof Using Genetic Programming
Abstract— Many games require opponent modelling for optimal performance. The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to d...
Mark Wittkamp, Luigi Barone
AAAI
1994
13 years 6 months ago
Evolving Neural Networks to Focus Minimax Search
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...
David E. Moriarty, Risto Miikkulainen
ACSC
2004
IEEE
13 years 8 months ago
On Evolving Fixed Pattern Strategies for Iterated Prisoner's Dilemma
Table 1 shows the payoff to player one. The same matrix also holds for player two. Player one can gain the maximum 5 points (T = 5) by defection if player two cooperates. However,...
Daniel Jang, Peter A. Whigham, Grant Dick
AUSAI
2001
Springer
13 years 9 months ago
An Investigation of an Adaptive Poker Player
: Other work has shown that adaptive learning can be highly successful in developing programs which are able to play games at a level similar to human players and, in some cases, e...
Graham Kendall, Mark Willdig