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Published in:
01-03-2012 | Original Article
Designing the conflict resolution machinery using game theory–based neural network
Published in: Neural Computing and Applications | Issue 2/2012
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Abstract
We consider some general and practical cases of conflicts and design a neural network that is able to solve these basic conflict problems. For the preliminary definition and concepts in game theory, neural network and optimization, such as pay off function, stable solutions, and linear programming see, Fundenberg and Tirole (Game theory, Massachusetts Institute of Technology, Cambridge, 1996), Gass (Linear programming, McGraw Hill, New York, 1958), Hertz et al. (Introduction to the theory of neural computation, Addison Wesley Company, Redwood City, 1991).