Probabilistic game semantics

Author:

Danos Vincent1,Harmer Russell S.2

Affiliation:

1. CNRS and Université Paris VII, Paris, France

2. University of Sussex, Brighton, U.K.

Abstract

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Mathematics,Logic,General Computer Science,Theoretical Computer Science

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