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” o...
In this paper, the problem of deriving sensible information from a collection of argumentation systems coming from different agents is addressed. The underlying argumentation the...
The increasing variety of semantics proposed in the context of Dung’s theory of argumentation makes more and more inadequate the example-based approach commonly adopted for eval...
We present a novel approach to machine learning, called ABML (argumentation based ML). This approach combines machine learning from examples with concepts from the field of argum...
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent/incomplete/uncertain knowledge, based on the construction and the comparison of ar...
Abstract. Many works have identified the potential benefits of using argumentation to address a large variety of multiagent problems. In this paper we take this idea one step furth...
Antonis C. Kakas, Leila Amgoud, Gabriele Kern-Isbe...
This paper aims at giving a classification of argumentation games agents play within a multi-agent setting. We investigate different scenarios of such argumentation games that dif...
Abstract. This paper presents a coherentist approach to argumentation that extends previous proposals on cognitive coherence based agent communication pragmatics (inspired from soc...
Philippe Pasquier, Iyad Rahwan, Frank Dignum, Liz ...
There are a number of frameworks for modelling argumentation in logic. They incorporate a formal representation of individual arguments and techniques for comparing conflicting ar...
Today’s argumentation software mostly emphasizes the logical structure of reasoning, and especially the structure as it can be represented in boxes-andarrows style diagrams. In t...