A knowledge representation perspective: Logics for paraconsistent reasoning | Zendy

Besnard Philippe | Zendy; Laenens Els | Zendy

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A knowledge representation perspective: Logics for paraconsistent reasoning

Author(s) -

Besnard Philippe,

Laenens Els

Publication year - 1994

Publication title -

international journal of intelligent systems

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 1.291

H-Index - 87

eISSN - 1098-111X

pISSN - 0884-8173

ISBN - 0-471-04062-2

DOI - 10.1002/int.4550090110

Subject(s) - paraconsistent logic , t norm fuzzy logics , perspective (graphical) , representation (politics) , monoidal t norm logic , knowledge representation and reasoning , computer science , classical logic , non monotonic logic , description logic , artificial intelligence , epistemology , mathematics , theoretical computer science , fuzzy logic , philosophy , fuzzy control system , programming language , fuzzy set , higher order logic , membership function , politics , political science , fuzzy number , law

Paraconsistent logics are examined as an approach to knowledge representation devoted to the formalization of reasoning in the presence of contradictions. the adequacy of paraconsistent logics in such a perspective is described both on a general level and on a more specific level: discussion involves representative examples as well as special features (in the form of logical principles) of some significant paraconsistent logics. There is also a comparison of the paraconsistent logics approach with two alternative approaches, namely belief revision and non‐monotonic logics. © 1994 John Wiley & Sons, Inc.

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