• DocumentCode
    401765
  • Title

    Twin-subset semantic model for intention

  • Author

    Hu, Shan-Li ; Shi, Chun-Yi

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Fuzhou Univ., China
  • Volume
    4
  • fYear
    2003
  • fDate
    2-5 Nov. 2003
  • Firstpage
    2004
  • Abstract
    Intention, an indispensable cognition attribute of agent, plays an important role in agent´s rational behavior. There is a lot of research on formalization of cognitive state that include intentions of the agents in a multi-agent system. These theories are based on normal modal logic, interpret intention as unary normal modal operator in Kripke semantics, and hence suffer from the harmful logical omniscience and side-effect problems. These have not been eliminated satisfactorily as yet. In this paper, we interpret intention as unary non-normal modal operator and introduce novel possible world semantics for intention, called the twin-subset semantics. It describes the intentions of agent in a possible world w with two subsets of W, where W is the set of all possible worlds which an agent can be in, and allows us to embody essential cognitive features of intention and the relations between belief and intention. Compared with classical normal or non-normal modal logics, not only does it avoid the logical omniscience and side-effect problems but also the classical semantics of logical connectives are still valid; and moreover, it improves the true-false subset semantics, which were introduced by us previously, and overcomes its serious drawbacks.
  • Keywords
    cognitive systems; formal logic; multi-agent systems; semantic networks; set theory; Kripke semantics; agent indispensable cognition attribute; agent rational behavior; cognitive state formalization; logical omniscience; multiagent system; normal modal logic; side-effect problems; twin-subset semantics; unary normal modal operator; Artificial intelligence; Autonomous agents; Cognition; Computer science; Cybernetics; Logic design; Machine learning; Multiagent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2003 International Conference on
  • Print_ISBN
    0-7803-8131-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2003.1259832
  • Filename
    1259832