Modelling Argument Accrual in Possibilistic Defeasible Logic Programming

Authors:
Mauro J. Gómez Lucero;Carlos I. Chesñevar;Guillermo R. Simari
Affiliations:
National Council of Scientific and Technical Research (CONICET) Artificial Intelligence Research & Development Laboratory (LIDIA), Universidad Nacional del Sur (UNS), Bahííía Blanca ...;National Council of Scientific and Technical Research (CONICET) Artificial Intelligence Research & Development Laboratory (LIDIA), Universidad Nacional del Sur (UNS), Bahííía Blanca ...;National Council of Scientific and Technical Research (CONICET) Artificial Intelligence Research & Development Laboratory (LIDIA), Universidad Nacional del Sur (UNS), Bahííía Blanca ...
Venue:
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Year:
2009

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Abstract

Argumentation frameworks have proven to be a successful approach to formalizing commonsense reasoning. Recently, some argumentation frameworks have been extended to deal with possibilistic uncertainty, notably Possibilistic Defeasible Logic Programming (P-DeLP). At the same time, modelling argument accrual has gained attention from the argumentation community. Even though some preliminary formalizations have been advanced, they do not take into account possibilistic uncertainty when accruing arguments. In this paper we present a novel approach to model argument accrual in the context of P-DeLP in a constructive way.