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AAMAS
2008
Springer

Agents that argue and explain classifications

8 years 2 months ago
Agents that argue and explain classifications
Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent/incomplete/uncertain knowledge, based on the construction and the comparison of arguments. In this paper, we apply this approach to the classification problem, whose purpose is to construct from a set of training examples a model that assigns a class to any new example. We propose a formal argumentation-based model that constructs arguments in favor of each possible classification of an example, evaluates them, and determines among the conflicting arguments the acceptable ones. Finally, a "valid" classification of the example is suggested. Thus, not only the class of the example is given, but also the reasons behind that classification are provided to the user as well in a form that is easy to grasp. We show that such an argumentation-based approach for classification offers other advantages, like for instance classifying examples even when the set of training examples is inconsi...
Leila Amgoud, Mathieu Serrurier
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2008
Where AAMAS
Authors Leila Amgoud, Mathieu Serrurier
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