A probabilistic approach to quantum Bayesian games of incomplete information

  • Azhar Iqbal
  • , JM Chappell
  • , Q Li
  • , CEM Pearce
  • , D Abbott

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

A Bayesian game is a game of incomplete information in which the rules of the game are not fully known to all players. We consider the Bayesian game of Battle of Sexes that has several Bayesian Nash equilibria and investigate its outcome when the underlying probability set is obtained from generalized Einstein-Podolsky-Rosen experiments. We find that this probability set, which may become non-factorizable, results in a unique Bayesian Nash equilibrium of the game.
Original languageEnglish
JournalQuantum Information Processing
StatePublished - 2014

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