An abstract, argumentation-theoretic approach to default reasoning

Reasoning with conditionals in artificial intelligence

“…Building upon their results, Eshghi and I (1989) showed that negation as failure in logic programming can also be understood in abductive terms. More recently, Dung and his collaborators (Bondarenko et al 1997 ;Dung et al, 2006) have shown that most non-monotonic logics can be interpreted in terms of arguments and counter-arguments supported by abductive hypotheses. Moreover, Poole (1993Poole ( , 1997 has shown that Baysian networks can be understood as abductive logic programs with assumptions that have associated probabilities.…”

Dominant Decisions by Argumentation Agents

“…as envisaged in [32]. We de ne a notion of dominance to characterise \best" items, and show that these items are those that correspond, within the family of argumentation frameworks considered, to admissible arguments as de ned in [4,13]. Intuitively, the method relies upon comparing the value of di erent items by \arguing" about the bene ts they provide.…”

“…In the literature, several notions of \acceptability", referred to as extensionbased semantics, have been de ned and studied [12,4,13,10]. In this paper we are concerned with the semantics of admissibility.…”

“…We extend this method to provide notion of relative value of decisions where preferences over bene ts are taken into account. Finally, we show how our techniques can be successfully applied to the problem of selecting satellite images to monitor oil spills, to support electronic marketplaces for earth observation products.1 Introduction This paper presents two methods for evaluating and ranking (respectively) decisions using assumption-based argumentation (ABA) frameworks [4,13,14]. These ABA frameworks can be used for representing the knowledge of intelligent agents that autonomously make the best decision, e.g.…”

“…1 Introduction This paper presents two methods for evaluating and ranking (respectively) decisions using assumption-based argumentation (ABA) frameworks [4,13,14]. These ABA frameworks can be used for representing the knowledge of intelligent agents that autonomously make the best decision, e.g.…”