COMBINING KNOWLEDGE BASES CONSISTING OF FIRST‐ORDER THEORIES

descriptionPublicationkeyboard_double_arrow_right Article , Part of book or chapter of book , Report , Conference object 01 Sep 1990 English Publisher:WileyJournal:Computational Intelligence, volume 8, pages 45-71 (issn: 0824-7935, eissn: 1467-8640,

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Authors: Chitta Baral; Sarit Kraus; Jack Minker; V. S. Subrahmanian;

doi: 10.1111/j.1467-8640.1992.tb00337.x , 10.1007/3-540-54563-8_73 , 10.21236/ada232090

COMBINING KNOWLEDGE BASES CONSISTING OF FIRST‐ORDER THEORIES

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Abstract

Consider the construction of an expert system by encoding the knowledge of different experts. Suppose the knowledge provided by each expert is encoded into a knowledge base. Then the process ofcombiningthe knowledge of these different experts is an important and nontrivial problem. We study this problem here when the expert systems are considered to be first‐order theories. We present techniques for resolving inconsistencies in such knowledge bases. We also provide algorithms for implementing these techniques.

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University of Maryland, College Park
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University of Maryland, College Park
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