Proceedings

Generating Facts From Opinions with Information Source Models

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Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Cognitive Models. Pages 531-535.

Abstract

This paper describes an attempt to model the method of generating a fact from the opinions of other persons or of institutions as a process which is based on knowledge about these opinion sources. AITechniques of reasoning, such as rule based deduction, require an input of facts with a definite truth value. In domains like economics or administration, decisions are often based on a set of diverging ·subjective opinions when the fact which is needed is not available. The credibility of an opinion is considered dependent on a number of information source attributes producing the opinion as competence and goals. A model of the information source containing these attributes is used as a knowledge structure in a cyclical process of subsequent combination, doubt and reinterpretation of single opinions. Information Source Models can be used like User Models to represent an intelligent system's knowledge about its social context.

Martin Thost. 1989. Generating Facts From Opinions with Information Source Models. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89. IJCAI, 531–535. https://ijcai.org/proceedings/1989/85
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