This paper proposes a formal framework which offers an external representation of conversations between conversational agents. Using this formalism allows us: (1) to represent the ...
This paper describes an integrated approach for interpreting a user’s responses and generating replies in the framework of a WWW-based Bayesian argumentation system. Our system c...
Multiagent learning can be seen as applying ML techniques to the core issues of multiagent systems, like communication, coordination, and competition. In this paper, we address the...
Humans currently use arguments for explaining choices which are already made, or for evaluating potential choices. Each potential choice has usually pros and cons of various stren...
In this paper we describe an approach to classifying objects in a domain where classifications are uncertain using a novel combination of argumentation and data mining. Classific...
Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coene...