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A method for solving Nash equilibria of games based on public announcement logic

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Abstract

Describing the interactional behavior of rational agents and seeking equilibria are two main domains of game theory. The epistemic foundation of the above two domains is based on the assumption that all players are rational. However, game theory itself cannot precisely model the higher-order information changes of mutual knowledge among players, so in the current studies of game theory the interpretations of rationality are vague. In this paper, a concept of the rationality is redefined through incorporating an epistemic ingredient. Then a method is proposed to solve and refine Nash equilibria which is grounded on public announcement logic, and it is proved that the iterated announcement of this rationality assertion characterizes the iterated admissibility algorithm in game theory, which offers a dynamic epistemic foundation for this algorithm. Finally, an implementation of this method, based on the extended DEMO, is shown to be correct.

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References

  1. Pearce D G. Rationalizable strategic behavior and the problem of perfection. Econometrica, 1984, 52: 1029–1050

    Article  MATH  MathSciNet  Google Scholar 

  2. Aumann R J. Rationality and bounded rationality. Games Econom Behav, 1999, 53: 293–291

    Google Scholar 

  3. Rubinstein A. Modeling Bounded Rationality. Cambridge: The MIT Press, 1998

    Google Scholar 

  4. Brandenburger A, Friedenberg A, Jerome K H. Admissibility in games. Econometrica, 2008, 76: 307–352

    MATH  MathSciNet  Google Scholar 

  5. Bonanno G, van der Hoek W, Wooldridge M, eds. Logic and the Foundations of Game and Decision Theory (LOFT7), Texts in Logic and Games Series, Amsterdam University Press, 2008

  6. Apt K R. The many faces of rationalizability. The B.E. J Theoretic Econom, 2007, 7: 18–55

    MathSciNet  Google Scholar 

  7. van Benthem J. Rational dynamics and epistemic logic in games. Int Game Theory Rev, 2007, 9: 13–45

    Article  MATH  MathSciNet  Google Scholar 

  8. Gilli M. Iterated admissibility as solution concept in game theory. Working Papers, University of Milano-Bicocca, Department of Economics, 2002. 47

  9. Baltag A, Moss L, Solecki S. The logic of public announcements, common knowledge and private suspicious. In: TARK’ 98 Proceedings of the 7th Conference on Theoretical Aspects of Rationality and Knowledge. San Francisco: Morgan Kaufmann Publishers Inc, 1998. 43–56

    Google Scholar 

  10. Gerbrandy J. Dynamic Epistemic Logic. Amsterdam: Amsterdam University Press, 1999

    Google Scholar 

  11. van Ditmarsch H, van der Hoek W, Kooi B. Dynamic Epistemic Logic. Berlin: Springer, 2007

    Google Scholar 

  12. Bonanno G. A syntactic approach to rationality in games with ordinal payoffs. In: Logic and the Foundations of Game and Decision Theory, Texts in Logic and Games Series. Amsterdam: Amsterdam University Press, 2008. 59–86

    Google Scholar 

  13. Blackburn P, van Benthem J, Wolter F. Handbook of Modal Logic. Elsevier Science Inc, 2007

  14. Su K L. Model checking temporal logics of knowledge in distributed systems. In: Proceedings of the Nineteenth National Conference on Artificial Intelligence (AAAI 04). Cambridge: The MIT Press, 2004

    Google Scholar 

  15. van Eijck J. DEMO-a demo of epistemic modelling. In: Interactive Logic, Texts in Logic and Games. Amsterdam: Amsterdam University Press, 2007. 305–363

    Google Scholar 

  16. Thompson S. Haskell: The Craft of Functional Programming. 2nd ed. New Jersey: Addison-Wesley, 2000

    Google Scholar 

  17. O’sullivan B, Goerzen J, Stewart D. Real World Haskell. Sebastopol, CA: OReilly Media, Inc., 2008

    Google Scholar 

  18. Hutton G. Programming in Haskell. London: Cambridge University Press, 2007

    MATH  Google Scholar 

  19. Apt K R, Zvesper J A. Common beliefs and public announcements in strategic games with arbitrary strategy sets. In: Proceedings of the 12th Conference on Theoretical Aspects of Reasoning about Knowledge (TARK XII), Stanford, CA: ACM, 2009. 4–13

    Chapter  Google Scholar 

  20. Christian E. Iterated Weak Dominance in Strictly Competitive Games of Perfect Information. Sonderforschungsbereich 504 Publications, Sonderforschungsbereich 504, Universität Mannheim, 2001. 01–33

  21. Stalnaker R. Extensive and strategic form: games and models for games. Res Econom, 1997, 21: 2–14

    Google Scholar 

  22. van Benthem J. Logic in Games. Texts in Logic and Games, Amsterdam: Amsterdam University Press, to appear

  23. Bernheim B D. Rationalizable strategic behavior. Econometrica, 1984, 52: 1007–1028

    Article  MATH  MathSciNet  Google Scholar 

  24. Stalnaker R. the evaluation of solution concepts. Theory and Decision, 1994, 37: 49–74

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to XiaoJia Tang.

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Cui, J., Tang, X. A method for solving Nash equilibria of games based on public announcement logic. Sci. China Inf. Sci. 53, 1358–1368 (2010). https://doi.org/10.1007/s11432-010-4010-0

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  • DOI: https://doi.org/10.1007/s11432-010-4010-0

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