Rewriting Game Theory as a Foundation for State-Based Models of Gene Regulation

  • Chafika Chettaoui
  • Franck Delaplace
  • Pierre Lescanne
  • Mun’delanji Vestergaard
  • René Vestergaard
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4210)


We present a game-theoretic foundation for gene regulatory analysis based on the recent formalism of rewriting game theory. Rewriting game theory is discrete and comes with a graph-based framework for understanding compromises and interactions between players and for computing Nash equilibria. The formalism explicitly represents the dynamics of its Nash equilibria and, therefore, is a suitable foundation for the study of steady states in discrete modelling. We apply the formalism to the discrete analysis of gene regulatory networks introduced by R. Thomas and S. Kauffman. Specifically, we show that their models are specific instances of a C/P game deduced from the K parameter.


Nash Equilibrium Game Theory Gene Regulatory Network Strategic Game Sequential Game 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chafika Chettaoui
    • 1
  • Franck Delaplace
    • 1
  • Pierre Lescanne
    • 2
  • Mun’delanji Vestergaard
    • 3
  • René Vestergaard
    • 3
  1. 1.IBISC – FRE 2873 CNRSEvryFrance
  2. 2.LIP - UMR 5668, Ecole Normale Supérieure, LyonLyon
  3. 3.JAISTNomi, IshikawaJapan

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