Expansion Operators for Modelling Agent Reasoning in Possibilistic Logic Programming

 
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Type: Article

Chesñevar, C. I. and Simari, G. R. and Alsinet, T. and Godo, L. (2005) Expansion Operators for Modelling Agent Reasoning in Possibilistic Logic Programming. Proc. of 3rd. EUMAS Workshop (Brussels, Belgium).

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Abstract

Possibilistic Defeasible Logic Programming (Pdelp) is a logic programming language which combines features from argumentation theory and logic programming, incorporating as well the treatment of possibilistic uncertainty and fuzzy knowledge at object-language level. Defeasible argumentation in general and Pdelp in particular provide a way of modelling non-monotonic inference. When modelling intelligent agents, capturing defeasible inference relationships for modelling argument and warrant is particularly important, as well as the study of their logical properties. This paper analyzes two specialized non-monotonic operators for \Pdelp\ which model the expansion of a given program \progP\ by adding new weighed facts associated with argument conclusions and warranted literals. Different logical properties %for the proposed expansion operators are studied and analyzed, providing useful comparison criteria that can be extended and applied to other argumentation frameworks.

Deposited by Carlos Chesnevar on 19 December 2005

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