Towards Context Sensitive Defeasible Rules

Authors:
Armin Hezart;Abhaya Nayak;Mehmet Orgun
Affiliations:
Intelligent Systems Group, Department of Computing Division of ICS, Macquare University, Sydney, Australia NSW 2109;Intelligent Systems Group, Department of Computing Division of ICS, Macquare University, Sydney, Australia NSW 2109;Intelligent Systems Group, Department of Computing Division of ICS, Macquare University, Sydney, Australia NSW 2109
Venue:
Computational Logic in Multi-Agent Systems
Year:
2008

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Abstract

Defeasible argumentation systems are used to model commonsense and defeasible reasoning. Current argumentation systems assume that an argument that appears to be justified also satisfies our expectation in relation to the correct outcome, and, vice versa. In this paper we present an alternative representation of defeasible rules, tailored for argumentation based defeasible reasoning, that is free of such an assumption. We provide a mapping between our argumentation system and Dung's abstract argumentation theory to show its efficacy.