• DocumentCode
    2303400
  • Title

    Formal approach of chance discovery theory for agents´ interaction

  • Author

    Zhou, Xuchuan ; Zeng, Yong ; Cai, Liping

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Southwest Univ. for Nat., Chengdu, China
  • Volume
    6
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2908
  • Lastpage
    2911
  • Abstract
    The core capability of an agent is it can be make a rational choice for its action decision, so the cooperation among agents is the key for state transformation in a multi-agent system (MAS). In an open and dynamic system, agents must deal with uncertain factors by model those uncertainties into simplified categories that is significant for decision-making in a specified domain. Chance discovery (CD) theory can be used to formalize, descript and study various aspects of problems in this environment. In this paper we study logical properties of operation chance discovery via structures based on hybrid temporal/modal logic. We introduce and study a logic Lk which can be as a formal tool for the description of general laws that reflect reasoning about chance discovery and can build adequate logical models for CD. Study shows that Lk is decidable.
  • Keywords
    decision making; multi-agent systems; temporal logic; chance discovery theory; decision making; formal approach; hybrid temporal logic; modal logic; multiagent system interaction; Cognition; Computational modeling; Mathematical model; Multiagent systems; Semantics; Transforms; Uncertainty; Multi-agent system (MAS); chance discovery (CD); formal approach; logic system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5584104
  • Filename
    5584104