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Elements of Game Theory, with Applications

  • John S. Nicolis
Part of the Springer Series in Synergetics book series (SSSYN, volume 25)

Abstract

Mutual simulation between two hierarchical systems -in the present case two biological organisms -seldom proceeds in a straightforward way. Usually the conflicting interests of each of the two partners (each wishes to simulate successfully, i.e., to predict and ultimately control the opponent and at the same time, present the opponent with a random behavior which does not allow him to simulate in return) force them to wage a game.

Keywords

Mixed Strategy Pure Strategy Security Level Dominant Strategy Rational Player 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    A. Rapoport: Two-Person Game Theory, the Essential Ideas (University of Michigan Press, Ann Arbor 1966)zbMATHGoogle Scholar
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    J.S. Nicolis, J.M. Argitis, D. Carabalis: Kybernetes 12, 9–20 (1983)zbMATHCrossRefGoogle Scholar
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    H. Bremermann: J. Theor. Biol. 87, 671 (1980)MathSciNetCrossRefGoogle Scholar
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    J. Maynard-Smith: J. Theor. Biol. 47, 209 (1974)MathSciNetCrossRefGoogle Scholar
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    J. Maynard-Smith, G.R. Price: Nature (London) 246, 15 (1973)CrossRefGoogle Scholar
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    A. Rapoport: General Systems Yearbook 20, 49 (1975)Google Scholar
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    J.C. Frauenthal: Mathematical Modeling in Epidemiology (Springer, Berlin, Heidelberg 1980)zbMATHCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1986

Authors and Affiliations

  • John S. Nicolis
    • 1
  1. 1.Department of Electrical EngineeringUniversity of PatrasPatrasGreece

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