In the last decades, most works in the literature have been devoted to study argumentation
formalisms that focus on a defeat relation among arguments. Recently, the study of a support …

An ontology typically provides a vocabulary describing a domain of interest and a
specification of the meaning of terms in that vocabulary. Depending on the precision of this …

An increasing number of computer systems are being viewed in terms of autonomous
agents. There are two main drivers to this trend. Firstly, agents are being advocated as a …

Over the last ten years, argumentation has come to be increasingly central as a core study
within Artificial Intelligence (AI). The articles forming this volume reflect a variety of important …

Argumentation is a vital form of human cognition. Constantly in our daily lives, we are
confronted with information that conflicts, and we are forced to deal with the resulting …

Predictive accuracy has been widely used as the main criterion for comparing the predictive
ability of classification systems (such as C4. 5, neural networks, and Naive Bayes). Most of …

Argumentation theory has become an important topic in the field of AI. The basic idea is to
construct arguments in favor and against a statement, to select the “acceptable” ones and …

In this paper, we extend the basic abstract argumentation framework proposed by Dung, by
taking into account two independent kinds of interaction between arguments: a defeat …

Abstract Argumentation is a reasoning model based on the construction of arguments and
counter-arguments (or defeaters) followed by the selection of the most acceptable of them. In …

Negotiation is essential in settings where autonomous agents have conflicting interests and
a desire to cooperate. For this reason, mechanisms in which agents exchange potential …