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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Information-Based Argumentation
verfasst von : Carles Sierra, John Debenham
Erschienen in: Knowledge Representation for Agents and Multi-Agent Systems
Verlag: Springer Berlin Heidelberg
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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.