Inferring acceptable arguments with Answer Set Programming
María Rosa Zapatero Osorio, Claudia Zepeda, Juan Carlos Nieves, Ulises Cortés · 2006
Following the argumentation framework and semantics proposed by Dung, we are interested in the problem of deciding which set of acceptable arguments support the decision making in an agent-based platform called CARREL. It is an agent-agency which mediates organ transplants. We present two possible ways to infer the stable and preferred extensions of an argumentation framework, one in a declarative way using answer set programming (ASP) and the other one in a procedure way.