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» Game Theory Using Genetic Algorithms
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GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 9 months ago
Genetic algorithms for mentor-assisted evaluation function optimization
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an approp...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
GPEM
2011
13 years 3 months ago
Expert-driven genetic algorithms for simulating evaluation functions
In this paper we demonstrate how genetic algorithms can be used to reverse engineer an evaluation function’s parameters for computer chess. Our results show that using an appropr...
Omid David-Tabibi, Moshe Koppel, Nathan S. Netanya...
ECAI
2006
Springer
14 years 4 days ago
Cheating Is Not Playing: Methodological Issues of Computational Game Theory
Abstract. Computational Game Theory is a way to study and evaluate behaviors using game theory models, via agent-based computer simulations. One of the most known example of this a...
Bruno Beaufils, Philippe Mathieu
ICASSP
2009
IEEE
14 years 3 months ago
Game theory for precoding in a multi-user system: Bargaining for overall benefits
A precoding strategy for multi-user spectrum sharing over an interference channel is proposed and analyzed from a game-theoretic perspective. The proposed strategy is based on fi...
Jie Gao, Sergiy A. Vorobyov, Hai Jiang
ICC
2007
IEEE
158views Communications» more  ICC 2007»
14 years 2 months ago
Cooperative Game Theory for Distributed Spectrum Sharing
— There is a need for new spectrum access protocols that are opportunistic, flexible and efficient, yet fair. Game theory provides a framework for analyzing spectrum access, a ...
Juan E. Suris, Luiz A. DaSilva, Zhu Han, Allen B. ...