Generating Facts From Opinions with Information Source Models
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.
@inproceedings{ijcai1989p85,
title = {Generating Facts From Opinions with Information Source Models},
author = {Thost, Martin},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {531--535},
year = {1989},
month = {8},
note = {Cognitive Models},
url = {https://ijcai.org/proceedings/1989/85},
}
TY - CPAPER TI - Generating Facts From Opinions with Information Source Models AU - Thost, Martin T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 531 EP - 535 UR - https://ijcai.org/proceedings/1989/85 ER -Copied
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