Arguing and Explaining Classifications

Argumentation is a promising approach used by autonomous agents for reasoning about inconsistent knowledge, based on the construction and the comparison of arguments. In this paper, we apply this approach to the classi cation problem, whose purpose is to construct from a set of training examples a model (or hypothesis) that assigns a class to any new example.

Authors

• Leila Amgoud CNRS – IRIT
• Mathieu Serrurier

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