Modelling Argument Accrual with Possibilistic Uncertainty in a Logic Programming Setting

GOMEZ LUCERO, MAURO; CARLOS IVÁN CHESÑEVAR; GUILLERMO SIMARI

INFORMATION SCIENCES

ELSEVIER SCIENCE INC

Lugar: Amsterdam; Año: 2013 vol. 228 p. 1 - 25

0020-0255

Argumentation frameworks have proven to be a successful approach to formalizing commonsense reasoning. Recently, some argumentation frameworks have emerged which incorporate the treatment of 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 with possibilistic uncertainty in a constructive way. The formalization proposed uses P-DeLP?s representation language and notion of argument as a basis.