• DocumentCode
    3381360
  • Title

    A generic formal plan recognition theory

  • Author

    Camilleri, Guy

  • Author_Institution
    IRIT, Univ. Paul Sabatier, Toulouse, France
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    540
  • Lastpage
    547
  • Abstract
    Plan recognition is the task of inferring intentions (in terms of plans) from the actions or utterances of observed actors (Kautz, 1986). In this paper, we provide a new logical formalization of plan recognition, which allows us to clearly specify, validate and design the plan recognition process (useful in several domains such as: discourse understanding, human computer interaction, and so on). However, depending on the applications different recognition strategies are used (top-down, bottom-up, and so on). Therefore, to describe the possible strategies, we only chose to formalize the reasoning basic steps of plan recognition. Moreover, only the specific aspects of the recognition problem are formalized and fixed. Therefore, the other aspects can be determined to satisfy the system needs. To illustrate our formalism, we describe two strategies of plan recognition used in many applications. We also present an algorithm useful to the discourse understanding
  • Keywords
    formal specification; formal verification; inference mechanisms; planning (artificial intelligence); actions; algorithm; discourse understanding; generic formal plan recognition theory; human computer interaction; intention inference; logical formalization; reasoning; recognition strategies; specification; utterances; validation; Application software; Artificial intelligence; Collaboration; Human computer interaction; Inference algorithms; Intelligent systems; Logic; Read only memory; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on
  • Conference_Location
    Bethesda, MD
  • Print_ISBN
    0-7695-0446-9
  • Type

    conf

  • DOI
    10.1109/ICIIS.1999.810344
  • Filename
    810344