Explanation and Argumentation Capabilities:Towards the Creation of More Persuasive Agents


During the past two decades many research teams have worked on the enhancement of the explanation capabilities of knowledge-based systems and decision support systems. During the same period, other researchers have worked on the development of argumentative techniques for software systems. We think that it would be interesting for the researchers belonging to these different communities to share their experiences and to develop systems that take advantage of the advances gained in each domain. We start by reviewing the evolution of explanation systems from the simple reasoning traces associated with early expert systems to recent research on interactive and collaborative explanations. We then discuss the characteristics of critiquing systems that test the credibility of the user's solution. The rest of the paper deals with the different application domains that use argumentative techniques. First, we discuss how argumentative reasoning can be captured by a general structure in which a given claim or conclusions inferred from a set of data and how this argument structure relates to pragmatic knowledge, explanation production and practical reasoning. We discuss the role of argument indefeasible reasoning and present some works in the new field of computer-mediated defeasibleargumentation. We review different application domains such as computer-mediated communication, design rationale, crisis management and knowledge management, in which argumentation support tools are used. We describe models in which arguments are associated to mental attitudes such as goals, plans and beliefs. We present recent advances in the application of argumentative techniques to multi-agent systems. Finally, we propose research perspectives for the integration of explanation and argumentation capabilities in knowledge-based systems and make suggestions for enhancing the argumentation and persuasion capabilities of software agents

DOI: 10.1023/A:1015023512975

Extracted Key Phrases

3 Figures and Tables


Citations per Year

82 Citations

Semantic Scholar estimates that this publication has 82 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@article{Moulin2002ExplanationAA, title={Explanation and Argumentation Capabilities:Towards the Creation of More Persuasive Agents}, author={Bernard Moulin and Hengameh Irandoust and Micheline B{\'e}langer and G. Desbordes}, journal={Artificial Intelligence Review}, year={2002}, volume={17}, pages={169-222} }