Title :
Probabilistic game semantics
Author :
Danos, Vincent ; Harmer, Russell
Author_Institution :
Equipe PPS, Paris VII Univ., France
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 2-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 which provides a fully abstract model of a probabilistic extension of Idealized Algol
Keywords :
ALGOL; category theory; game theory; probability; programming language semantics; 2-sided die; Cartesian closed subcategory; HO/N-style games; Idealized Algol; deterministic strategy; fully abstract model; interpretative power; probabilistic extension; probabilistic game semantics; probabilistic strategies; Game theory; Image reconstruction; Machinery; Random variables; Tensile stress; Uncertainty;
Conference_Titel :
Logic in Computer Science, 2000. Proceedings. 15th Annual IEEE Symposium on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-7695-0725-5
DOI :
10.1109/LICS.2000.855770