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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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書誌詳細
出版年:Explainable, Transparent Autonomous Agents and Multi-Agent Systems
主要な著者: Ciatto, Giovanni, Schumacher, Michael I., Omicini, Andrea, Calvaresi, Davide
フォーマット: Artigo
言語:Inglês
出版事項: 2020
主題:
オンライン・アクセス: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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