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Designing the conflict resolution machinery using game theory–based neural network

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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).

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References

  1. Fundenberg D, Tirole J (1996) Game theory. Massachusetts Institute of Technology, Cambridge. (fifth printing in 1996, first copyright in 1991)

  2. Gass I (1958) Linear programming. McGraw Hill, New York

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  3. Hertz J, Krogh A, Palmer R (1991) Introduction to the theory of neural computation. Addison Wesley Company, Redwood City (Copy right in 1991)

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  1. Praxis Group, 1618 Northfield Road., Nanaimo, BC, V9S 3A9, Canada

    B. Mashhood & Greg MilBank

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  1. B. Mashhood
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  2. Greg MilBank
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Correspondence to B. Mashhood.

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Mashhood, B., MilBank, G. Designing the conflict resolution machinery using game theory–based neural network. Neural Comput & Applic 21, 299–303 (2012). https://doi.org/10.1007/s00521-011-0657-8

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  • DOI: https://doi.org/10.1007/s00521-011-0657-8

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