arXiv (OAI Expanded)
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Contrastive Explanations in Quantitative Bipolar Argumentation Frameworks
Argumentation frameworks are useful tools for representing and reasoning with information in a variety of settings, e.g. in supplementing AI models as they perform classification tasks, with a notable benefit of providing additional explainability. In this paper, we introduce contrastive explanation
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