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Boltzmann Machine Solution N-Person Games

  • Franciszek Seredynski
Conference paper

Abstract

Games with limited interaction are considered. A global behaviour of a team of players in the game is observed. The average total payoff received by the team of players is chosen as a criterion of the global behaviour. The game is implemented by a neural network of Boltzmann Machine type. The model is applied to solve an optimal task assignment problem in parallel computers. Results of experimental study of the model are presented.

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References

  1. Aarts EHL, Korst JHM (1989) Boltzmann machines for travelling salesman problems. Europ. J. of Oper. Research 39: 79–95CrossRefGoogle Scholar
  2. Indurkhya B, Stone HS and Xi-Cheng L (1986) Optimal partitioning of randomly generated distributed programs. IEEE Trans. on Software Eng., SE-12(3):483–495Google Scholar
  3. Seredynski F (1991) Self-organization in homogeneous networks of learning automata. Proc. of the 6th Czechoslovak Annual AI Conference, Prague, June 25-27, 1991Google Scholar
  4. Seredynski F (1992) Mapping by migrating Boltzmann Machine. Proc. of Parallel Problem Solving From Nature Conference, Brussels, Sept. 28-30, 1992Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Franciszek Seredynski
    • 1
  1. 1.Institute of Computer Science PASWarsawPoland

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