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. © 2009 Springer-Verlag Berlin Heidelberg.
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