Modelling Inference in Argumentation through Labelled Deduction: Formalization and Logical Properties
نویسندگان
چکیده
منابع مشابه
Modelling Inference in Argumentation through Labelled Deduction: Formalization and Logical Properties
Artificial Intelligence (AI) has long dealt with the issue of finding a suitable formalization for commonsense reasoning. Defeasible argumentation has proven to be a successful approach in many respects, proving to be a confluence point for many alternative logical frameworks. Different formalisms have been developed, most of them sharing the common notions of argument and warrant. In defeasibl...
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Defeasible argumentation [17, 5, 14] has proven to be a successful approach to ̄nding a suitable formalization for reasoning with incomplete and potentially inconsistent information. Recent research (notably [1]) has shown that defeasible argumentation constitutes a con°uence point for characterizing traditional approaches to non-monotonic reasoning (such as Gelfond's extended logic programming ...
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In the last years there has been an increasing demand of a variety of logical systems, prompted mostly by applications of logic in AI, logic programming and other related areas. Labeled Deductive Systems (LDS) were developed as a °exible methodology to formalize such a kind of complex logical systems. During the last decade defeasible argumentation has proven to be a con°uence point for many ap...
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In the last decade defeasible argumentation frameworks have evolved to become a sound setting to formalize commonsense, qualitative reasoning. The logic programming paradigm has shown to be particularly useful for developing different argument-based frameworks on the basis of different variants of logic programming which incorporate defeasible rules. Most of such frameworks, however, are unable...
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ژورنال
عنوان ژورنال: Logica Universalis
سال: 2007
ISSN: 1661-8297,1661-8300
DOI: 10.1007/s11787-006-0005-4