Modelling Imprecise Arguments in Description Logic

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 argumentat...

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Main Authors: LETIA, I. A., GROZA, A.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2009-10-01
Series:Advances in Electrical and Computer Engineering
Subjects:
Online Access:http://dx.doi.org/10.4316/AECE.2009.03017
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author LETIA, I. A.
GROZA, A.
author_facet LETIA, I. A.
GROZA, A.
author_sort LETIA, I. A.
collection DOAJ
description 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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spelling doaj.art-177128505dd84ffba997ed43897b875d2022-12-22T00:35:44ZengStefan cel Mare University of SuceavaAdvances in Electrical and Computer Engineering1582-74451844-76002009-10-01939499Modelling Imprecise Arguments in Description LogicLETIA, I. A.GROZA, A.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.http://dx.doi.org/10.4316/AECE.2009.03017semi-structured argumentationdescription logicfuzzy logic
spellingShingle LETIA, I. A.
GROZA, A.
Modelling Imprecise Arguments in Description Logic
Advances in Electrical and Computer Engineering
semi-structured argumentation
description logic
fuzzy logic
title Modelling Imprecise Arguments in Description Logic
title_full Modelling Imprecise Arguments in Description Logic
title_fullStr Modelling Imprecise Arguments in Description Logic
title_full_unstemmed Modelling Imprecise Arguments in Description Logic
title_short Modelling Imprecise Arguments in Description Logic
title_sort modelling imprecise arguments in description logic
topic semi-structured argumentation
description logic
fuzzy logic
url http://dx.doi.org/10.4316/AECE.2009.03017
work_keys_str_mv AT letiaia modellingimpreciseargumentsindescriptionlogic
AT grozaa modellingimpreciseargumentsindescriptionlogic