• DocumentCode
    3024210
  • Title

    A Quantitative Method for Reasoning about Knowledge

  • Author

    Lan, Qian ; Ma, Teng

  • Author_Institution
    Sch. of Eng., Lanzhou Univ. of Technol., Lanzhou, China
  • Volume
    4
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    It is important to reason about the possibility of certain events as well as the knowledge of agents in many of application areas for reasoning about knowledge. This paper proposes the concept of belief degree of an agent with respect to a fact. Moreover, based on the belief degree of agent, the similarity degree between agent ´s graded knowledge and a pseudo metric on the set of agent ´s graded knowledge are established, which makes it possible for agent to develop approximate reasoning by using its graded knowledge and provides a quantitative framework for reasoning about knowledge.
  • Keywords
    inference mechanisms; software agents; agent belief degree concept; agent knowledge; approximate reasoning; similarity degree; Application software; Artificial intelligence; Computational intelligence; Distributed computing; Education; Knowledge engineering; Logic; Military computing; Probability; Uncertainty; Belief degree; Graded knowledge; Reasoning about knowledge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.317
  • Filename
    5376425