• DocumentCode
    523910
  • Title

    A New Epistemic Fluent within the Situation Calculus Using Linguistic Variables

  • Author

    Huang, Xiangyang ; Wu, Wenjun ; Bai, Ling ; Xin, Xiao

  • Author_Institution
    Coll. of Inf. Eng., Capital Normal Univ., Beijing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    230
  • Lastpage
    233
  • Abstract
    An alternative epistemic fluent is proposed to solve the important issues of reasoning and sensing in intelligent control for autonomous agents. The approach treats interval-valued fluents within the situation calculus John Funge proposed as linguistic variables, the members of which are fuzzy sets defined on the interval. The new approach can integrate discrete-valued epistemic fluents with continuous-valued epistemic fluents and make cognitive model of autonomous agent much simple. The paper describes how to represent non-deterministic actions in the situation calculus based on epistemic fluent K and how to solve the potentially uncountable number of possible worlds in agent sensing by using this new approach. Finally the new approach was applied to create autonomous characters which can counteract with player characters in game Quake 2.
  • Keywords
    calculus; fuzzy set theory; intelligent control; intelligent robots; autonomous agents; autonomous characters; cognitive model; continuous valued epistemic fluent; discrete valued epistemic fluent integration; fuzzy sets; intelligent control; interval valued fluents; linguistic variables; situation calculus John Funge; Automation; Autonomous agents; Calculus; Educational institutions; Fuzzy sets; Instruments; Intelligent agent; Intelligent control; Knowledge representation; Logic; Knowledge representation; Non-deterministic actions; epistemic fluent; linguistic variable; sensing; situation calculus;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.352
  • Filename
    5523379