• DocumentCode
    275223
  • Title

    Modal logics for AI planning

  • Author

    Dix, J. ; Posegga, J.E. ; Schmitt, P.H.

  • Author_Institution
    Karlsruhe Univ., West Germany
  • fYear
    1990
  • fDate
    27-29 Jun 1990
  • Firstpage
    157
  • Lastpage
    162
  • Abstract
    This paper presents a survey on current research in modal and dynamic logic in the theory of AI planning techniques together with a first assessment of the role these concepts and techniques may play in the overall process of automated plan formation. First, the use of modal logics for modelling planning problems is motivated. After showing the computational problems-besides the well known frame problem-of the situation calculus by an example, it is argued that a modal framework for modelling planning problems offers several advantages compared with classical planning approaches. Then, the basic ideas of modal logics are presented, and two existing approaches to planning using a modal framework are reviewed. At the end, an outlook towards efficient implementations of modal logics is given
  • Keywords
    formal logic; planning (artificial intelligence); AI planning; automated plan formation; dynamic logic; modal logics;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Expert Planning Systems, 1991., First International Conference on
  • Conference_Location
    Brighton
  • Type

    conf

  • Filename
    114586