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Modelling Imprecise Arguments in Description LogicLETIA, I.A. , GROZA, A.
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semi-structured argumentation, description logic, fuzzy logic
logic(8), argumentation(8), intelligence(6), fuzzy(6), arguments(6), systems(4), reed(4), reasoning(4), hunter(4), chris(4)
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About this article
Date of Publication: 2009-10-26
Volume 9, Issue 3, Year 2009, On page(s): 94 - 99
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.03017
Web of Science Accession Number: 000271872000017
SCOPUS ID: 77954784217
Real arguments are a mixture of fuzzy linguistic variables and ontological knowledge. This paper focuses on modelling imprecise arguments in order to obtain a better interleaving of human and software agents argumentation, which might be proved useful for extending the number of real life argumentative-based applications. We propose Fuzzy Description Logic as the adequate technical instrumentation for filling the gap between human arguments and software agents arguments. A proof of concept scenario has been tested with the fuzzyDL reasoner.
|References|||||Cited By «-- Click to see who has cited this paper|
| Fernando Bobillo and Umberto Straccia, "fuzzyDL: An expressive fuzzy description logic reasoner", 2008 International Conference on Fuzzy Systems (FUZZ-08), pp. 923-930, IEEE Computer Society, 2008 |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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