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Agent-Based Explanations in AI: Towards an Abstract Framework

Recently, the eXplainable AI (XAI) research community has focused on developing methods making Machine Learning (ML) predictors more interpretable and explainable. Unfortunately, researchers are struggling to converge towards an unambiguous definition of notions such as interpretation, or, explanati...

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Veröffentlicht in:Explainable, Transparent Autonomous Agents and Multi-Agent Systems
Hauptverfasser: Ciatto, Giovanni, Schumacher, Michael I., Omicini, Andrea, Calvaresi, Davide
Format: Artigo
Sprache:Inglês
Veröffentlicht: 2020
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7338184/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-51924-7_1
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