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Detecting all evolutionarily stable strategies

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Abstract

In evolutionary game theory, the central solution concept is the evolutionarily stable state, which also can be interpreted as an evolutionarily stable population strategy (ESS). As such, this notion is a refinement of the Nash equilibrium concept in that it requires an additional stability property. In the present paper, an algorithm for detectingall ESSs of a given evolutionary game consisting of pairwise conflicts is presented which both is efficient and complete, since it involves a procedure avoiding the search for unstable equilibria to a considerable extent, and also has a finite, exact routine to check evolutionary stability of a given equilibrium. The article also contains the generalization of these results to the playing-the-field setting, where the payoff is nonlinear.

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References

  1. Maynard Smith, J., andPrice, G.,The Logic of Animal Conflict, Nature, Vol. 246, pp. 15–18, 1973.

    Google Scholar 

  2. Maynard Smith, J.,The Theory of Games and the Evolution of Animal Conflict, Journal of Theoretical Biology, Vol. 47, pp. 209–221, 1974.

    Google Scholar 

  3. Stewart, F. M.,Evolution of Dimorphism in a Predator-Prey Model, Theoretical Population Biology, Vol. 2, pp. 493–506, 1971.

    Google Scholar 

  4. Bomze, I. M., andvan Damme, E. E. C.,A Dynamical Characterization of Evolutionary Stability, Annals of Operations Research, Vol. 37, pp. 229–244, 1992.

    Google Scholar 

  5. Bomze, I. M.,Dynamical Aspects of Evolutionary Stability, Monatshefte für Mathematik, Vol. 110, pp. 189–206, 1990.

    Google Scholar 

  6. Bomze, I. M.,Noncooperative Two-Person Games in Biology: A Classification, International Journal of Game Theory, Vol. 15, pp. 31–57, 1986.

    Google Scholar 

  7. Van Damme, E. E. C.,Stability and Perfection of Nash Equilibria, Springer, Berlin, Germany, 1987.

    Google Scholar 

  8. Haigh, J.,Game Theory and Evolution, Advances of Applied Probability, Vol. 7, pp. 8–11, 1975.

    Google Scholar 

  9. Bishop, D. T., andCannings, C.,Models of Animal Conflict, Advances of Applied Probability, Vol. 8, pp. 616–621, 1976.

    Google Scholar 

  10. Williams, H. P.,Evolution, Game Theory, and Polyhedra, Journal of Mathematical Biology, Vol. 25, pp. 393–409, 1987.

    Google Scholar 

  11. Abakuks, A.,Conditions for Evolutionarily Stable Strategies, Journal of Applied Probability, Vol. 17, pp. 559–562, 1980.

    Google Scholar 

  12. Bomze, I. M. andPötscher, B. M.,Game Theoretic Foundations of Evolutionary Stability, Springer, Berlin, Germany, 1989.

    Google Scholar 

  13. Parthasarathy, T., andRaghavan, T. E. S.,Some Topics in Two-Person Games, Elsevier, New York, New York, 1971.

    Google Scholar 

  14. Bomze, I. M.,Detecting All Evolutionarily Stable Strategies, Technical Report No. 88, Institut für Statistik und Informatik, Universität Wien, 1990.

  15. Diananda, P. H.,On Nonnegative Forms in Real Variables Some or All of Which Are Nonnegative, Proceedings of the Cambridge Philosophical Society, Vol. 58, pp. 17–25, 1962.

    Google Scholar 

  16. Cottle, R. W., Habetler, G. J., andLemke, C. E.,Quadratic Forms Semi-Definite over Convex Cones, Proceedings of the Princeton Symposium on Mathematical Programming, Edited by H. W. Kuhn, Princeton University Press, Princeton, New Jersey, pp. 551–565, 1970.

    Google Scholar 

  17. Hadeler, K. P.,On Copositive Matrices, Linear Algebra and Applications, Vol. 49, pp. 79–89, 1983.

    Google Scholar 

  18. Bomze, I. M.,Remarks on the Recursive Structure of Copositivity, Journal of Informational and Optimization Sciences, Vol. 8, pp. 243–260, 1987.

    Google Scholar 

  19. Danninger, G.,A Recursive Algorithm for Determining (Strict) Copositivity of a Symmetric Matrix, Methods of Operations Research, Hain, Meisenheim, Germany, Vol. 62, pp. 45–52, 1990.

    Google Scholar 

  20. Murty, K. G., andKabadi, S. N.,Some NP-Complete Problems in Quadratic and Nonlinear Programming, Mathematical Programming, Vol. 39, pp. 117–129, 1987.

    Google Scholar 

  21. Maynard Smith, J.,Evolution and the Theory of Games, Cambridge University Press, Cambridge, England, 1982.

    Google Scholar 

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Communicated by G. Leitmann

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Bomze, I.M. Detecting all evolutionarily stable strategies. J Optim Theory Appl 75, 313–329 (1992). https://doi.org/10.1007/BF00941470

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