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Towards Argumentation-based Classification

The use of argumentation techniques allows to obtain classifiers, which are by design able to explain their decisions, and therefore addresses the recent need for Explainable AI: classifications are accompanied by a dialectical analysis showing why arguments for the conclusion are preferred to counterarguments. Argumentation techniques in machine learning also allows the easy integration of additional expert knowledge in form of arguments. In this talk, I give a brief overview on ongoing research in applying formal argumentation techniques to classification problems.

18.01.2018 - 10:15
B 016