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A tentative comparison of numerical approximate reasoning methodologies

✍ Scribed by Didier Dubois; Henri Prade


Publisher
Elsevier Science
Year
1987
Weight
863 KB
Volume
27
Category
Article
ISSN
0020-7373

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✦ Synopsis


A critical discussion of approximate reasoning methods in artificial intelligence is proposed. The focus is on numerical approaches based on certainty factor, probability, possibility or evidence theory. The discussion is organized around three topics, namely knowledge representation, inductive versus deductive reasoning, and control strategies. The aim of the paper is to outline a tentative classification of emerging trends in uncertain reasoning, and to point out problems which are not solved yet or are sometimes overlooked by proponents of a single approach. The style of the paper is concise and assumes some familiarity of the reader with the referenced material.


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