Automated Game Analysis via Probabilistic Model Checking: a case study

  • Authors:
  • P. Ballarini;M. Fisher;M. J. Wooldridge

  • Affiliations:
  • Department of Computer Science, University of Liverpool, UK;Department of Computer Science, University of Liverpool, UK;Department of Computer Science, University of Liverpool, UK

  • Venue:
  • Electronic Notes in Theoretical Computer Science (ENTCS)
  • Year:
  • 2006

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Abstract

It has been recognised for some time that there are close links between the various logics developed for the analysis of multi-agent systems and the many game-theoretic models developed for the same purpose. In this paper, we contribute to this burgeoning body of work by showing how a probabilistic model checking tool can be used for the automated analysis of game-like multi-agent systems in which both agents and environments can act with uncertainty. Specifically, we show how a variation of the well-known alternating offers negotiation protocol of Rubinstein can be encoded as a model for the PRISM model checker and its behaviour analysed through automatic verification of probabilistic CTL's properties.