Chapter

Knowledge Representation for Agents and Multi-Agent Systems

Volume 5605 of the series Lecture Notes in Computer Science pp 130-144

Information-Based Argumentation

  • Carles SierraAffiliated withInstitut d’Investigació en Intel·ligència Artificial – IIIA, Spanish Scientific Research Council, CSIC
  • , John DebenhamAffiliated withUniversity of Technology

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Abstract

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.