chapter

Using ontology to establish social context and support social reasoning

Authors:

Edward Chao-Chun Kao,

Paul Hsueh-Min Chang,

Von-Wun SooAuthors Info & Claims

Lecture Notes in Computer Science

September 2005

Pages 344 - 357

https://doi.org/10.1007/11550617_29

Published: 12 September 2005 Publication History

Abstract

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.

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Cited By

Kochanowicz JAh-Hwee TThalmann DGini MShehory OIto TJonker C(2013)Enabling generative, emergent artificial cultureProceedings of the 2013 international conference on Autonomous agents and multi-agent systems10.5555/2484920.2485044(789-792)Online publication date: 6-May-2013
https://dl.acm.org/doi/10.5555/2484920.2485044
Grabarske JHeutelbeck D(2012)An Upper Ontology for the Social WebProceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)10.1109/ASONAM.2012.194(1128-1131)Online publication date: 26-Aug-2012
https://dl.acm.org/doi/10.1109/ASONAM.2012.194
Li WAllbeck J(2012)The virtual apprenticeProceedings of the 12th international conference on Intelligent Virtual Agents10.1007/978-3-642-33197-8_2(15-27)Online publication date: 12-Sep-2012
https://dl.acm.org/doi/10.1007/978-3-642-33197-8_2
Show More Cited By

Index Terms

Using ontology to establish social context and support social reasoning
1. Applied computing
  1. Law, social and behavioral sciences
    1. Sociology
2. Computing methodologies
  1. Artificial intelligence
    1. Distributed artificial intelligence
      1. Intelligent agents

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Information & Contributors

Information

Published In

cover image Guide books

Lecture Notes in Computer Science

September 2005

504 pages

ISBN:3540287388

Editors:
Themis Panayiotopoulos
University of Piraeus, Department of Informatics, Piraeus, Greece
,
Jonathan Gratch
University of Southern California, Institute for Creative Technologies, Marina del Rey, CA
,
Ruth Aylett
Heriot-Watt University, Mathematics and Computer Science, Edinburgh, UK
,
Daniel Ballin
Chief Technology Office, Ipswich, UK
,
Patrick Olivier
University of Newcastle upon Tyne, Informatics Research Institute, Newcastle upon Tyne, UK
,
Thomas Rist
University of Applied Sciencees Augsburg, Friedberger Str. 2a, 86161 Augsburg, Germany

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 12 September 2005

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Cited By

Kochanowicz JAh-Hwee TThalmann DGini MShehory OIto TJonker C(2013)Enabling generative, emergent artificial cultureProceedings of the 2013 international conference on Autonomous agents and multi-agent systems10.5555/2484920.2485044(789-792)Online publication date: 6-May-2013
https://dl.acm.org/doi/10.5555/2484920.2485044
Grabarske JHeutelbeck D(2012)An Upper Ontology for the Social WebProceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)10.1109/ASONAM.2012.194(1128-1131)Online publication date: 26-Aug-2012
https://dl.acm.org/doi/10.1109/ASONAM.2012.194
Li WAllbeck J(2012)The virtual apprenticeProceedings of the 12th international conference on Intelligent Virtual Agents10.1007/978-3-642-33197-8_2(15-27)Online publication date: 12-Sep-2012
https://dl.acm.org/doi/10.1007/978-3-642-33197-8_2
Grimaldo FLozano MBarber F(2007)Coordination and sociability for intelligent virtual agentsProceedings of the 2007 international conference on Coordination, organizations, institutions, and norms in agent systems III10.5555/1791649.1791655(58-70)Online publication date: 14-May-2007
https://dl.acm.org/doi/10.5555/1791649.1791655

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