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Uncertain Agent Verification through Probabilistic Model-Checking

  • Paolo Ballarini
  • Michael Fisher
  • Michael Wooldridge
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4324)

Abstract

In many situations an agent’s behaviour can sensibly be described only in terms of a distribution of probability over a set of possibilities. In such case (agents’) decision-making becomes probabilistic too. In this work we consider a probabilistic variant of a well-known (two-players) Negotiation game and we show, first, how it can be encoded into a Markovian model, and then how a probabilistic model-checker such as PRISM can be used as a tool for its (automated) analysis. This paper is meant to exemplify that verification through model-checking can be fruitfully applied also to uncertain multi-agent systems. This, in our view, is the first step towards the characterisation of an automated verification method for probabilistic agents.

Keywords

Model Check Reservation Price Acceptance Probability Discrete Time Markov Chain Negotiation 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 2009

Authors and Affiliations

  • Paolo Ballarini
    • 1
  • Michael Fisher
    • 2
  • Michael Wooldridge
    • 2
  1. 1.University of GlasgowGlasgowUK
  2. 2.University of LiverpoolLiverpoolUK

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