• DocumentCode
    2221921
  • Title

    Probabilistic game semantics

  • Author

    Danos, Vincent ; Harmer, Russell

  • Author_Institution
    Equipe PPS, Paris VII Univ., France
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    204
  • Lastpage
    213
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logic in Computer Science, 2000. Proceedings. 15th Annual IEEE Symposium on
  • Conference_Location
    Santa Barbara, CA
  • ISSN
    1043-6871
  • Print_ISBN
    0-7695-0725-5
  • Type

    conf

  • DOI
    10.1109/LICS.2000.855770
  • Filename
    855770