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Modelling Imprecise Arguments in Description LogicLETIA, I.A. , GROZA, A. |
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Author keywords
semi-structured argumentation, description logic, fuzzy logic
References keywords
logic(8), argumentation(8), intelligence(6), fuzzy(6), arguments(6), systems(4), reed(4), reasoning(4), hunter(4), chris(4)
Blue keywords are present in both the references section and the paper title.
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
Abstract
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. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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