Information-Based Argumentation

  • Carles Sierra
  • John Debenham
Conference paper

DOI: 10.1007/978-3-642-05301-6_9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5605)
Cite this paper as:
Sierra C., Debenham J. (2009) Information-Based Argumentation. In: Meyer JJ.C., Broersen J. (eds) Knowledge Representation for Agents and Multi-Agent Systems. Lecture Notes in Computer Science, vol 5605. Springer, Berlin, Heidelberg


Information-based argumentation aims to model the partner’s reasoning apparatus to the extent that an agent can work with it to achieve outcomes that are mutually satisfactory and lay the foundation for continued interaction and perhaps lasting business relationships. Information-based agents take observations at face value, qualify them with a belief probability and build models solely on the basis of messages received. Using augmentative dialogue that describes what is good or bad about proposals, these agents observe such statements and aim to model the way their partners react, and then to generate dialogue that works in harmony with their partner’s reasoning.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Carles Sierra
    • 1
  • John Debenham
    • 2
  1. 1.Institut d’Investigació en Intel·ligència Artificial – IIIASpanish Scientific Research Council, CSICBellaterraSpain
  2. 2.University of TechnologySydneyAustralia

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