For an autonomous system, the ability to justify and explain its decision
making is crucial to improve its transparency and trustworthiness. This paper
proposes an argumentation-based approach to represent, justify and explain the
decision making of a value driven agent (VDA). By using a newly defined formal
language, some implicit knowledge of a VDA is made explicit. The selection of
an action in each situation is justified by constructing and comparing
arguments supporting different actions. In terms of a constructed argumentation
framework and its extensions, the reasons for explaining an action are defined
in terms of the arguments for or against the action, by exploiting their defeat
relation, as well as their premises and conclusions.

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