Probabilistic Game Semantics

Vincent Danos, Russell S. Harmer

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

A category of HO/N-style games and probabilistic strategies is developed where the possible choices of a strategy are quantified so as to give a measure of the likelihood of seeing a given play. A two-sided die is shown to be universal in this category, in the sense that any strategy breaks down into a composition between some deterministic strategy and that die. The interpretative power of the category is then demonstrated by delineating a Cartesian closed subcategory that provides a fully abstract model of a probabilistic extension of Idealized Algol.
Original languageEnglish
Pages (from-to)359-382
Number of pages24
JournalACM Transactions on Computational Logic
Issue number3
Publication statusPublished - Jul 2002

Keywords / Materials (for Non-textual outputs)

  • Games semantics
  • probabilistic Idealized Algol


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