Abstract. The identification of consistent sets of arguments is one of the most important concerns in the development of computational models of argument. Such extensions drive the...
This paper addresses the issue of learning from communication among agents that work in the same domain, are capable of learning from examples, and communicate using an argumentat...
Abstract. This paper describes recent approaches using text-mining to automatically profile and extract arguments from legal cases. We outline some of the background context and mo...
Adam Wyner, Raquel Mochales Palau, Marie-Francine ...
In this paper, we propose a new model for securing agent-based systems in which agents are equipped with reasoning capabilities allowing them to interact with each other. The agen...
Jamal Bentahar, John-Jules Ch. Meyer, Bernard Moul...
Probabilistic argumentation systems are based on assumption-based reasoning for obtaining arguments supporting hypotheses and on probability theory to compute probabilities of sup...