Using Ontology to Establish Social Context and Support Social Reasoning

  • Edward Chao-Chun Kao
  • Paul Hsueh-Min Chang
  • Yu-Hung Chien
  • Von-Wun Soo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3661)


Believable agents are required to express human-like characteristics. While most recent research focus on graphics and plan execution, few concentrate on the issue of flexible interactions by reasoning about social relations. This paper integrates the idea of social constraints with social ontology to provide a machine readable framework as a standard model which can support social reasoning for generic BDI agents. A scenario is illustrated to show how social reasoning can be attained even in different social context.


Social Relation Multiagent System Description Logic Social Model Plan Execution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Edward Chao-Chun Kao
    • 1
  • Paul Hsueh-Min Chang
    • 2
  • Yu-Hung Chien
    • 2
  • Von-Wun Soo
    • 1
    • 2
    • 3
  1. 1.AI laboratoryInstitute of Information and System Applications 
  2. 2.AI laboratory, Department of Computer ScienceNational Tsing Hua UniversityHsinchuTaiwan
  3. 3.AI laboratory, Department of Computer ScienceNational University of KaohsiungKaohsiungTaiwan

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