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Titlebook: Explainable and Transparent AI and Multi-Agent Systems; Third International Davide Calvaresi,Amro Najjar,Kary Främling Conference proceedi

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书目名称Explainable and Transparent AI and Multi-Agent Systems
副标题Third International
编辑Davide Calvaresi,Amro Najjar,Kary Främling
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Explainable and Transparent AI and Multi-Agent Systems; Third International  Davide Calvaresi,Amro Najjar,Kary Främling Conference proceedi
描述This book constitutes the proceedings of the Third International Workshop on Explainable, Transparent AI and Multi-Agent Systems, EXTRAAMAS 2021, which was held virtually due to the COVID-19 pandemic..The 19 long revised papers and 1 short contribution were carefully selected from 32 submissions. The papers are organized in the following topical sections: XAI & machine learning; XAI vision, understanding, deployment and evaluation; XAI applications; XAI logic and argumentation; decentralized and heterogeneous XAI..
出版日期Conference proceedings 2021
关键词artificial intelligence; autonomous agents; computer networks; computer programming; computer science; co
版次1
doihttps://doi.org/10.1007/978-3-030-82017-6
isbn_softcover978-3-030-82016-9
isbn_ebook978-3-030-82017-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Visual Explanations for DNNs with Contextual Importancentributing segments for a prediction. Results are compared with two explanation methods, namely mask perturbation and LIME. The results for the MNIST hand-written digit dataset produced by the three methods show that CI provides better visual explainability.
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Towards Explainable Visionary Agents: License to Dare and Imaginegly, we investigate research areas including: . reasoning and automatic theorem proving to synthesize novel knowledge via inference; . automatic planning and simulation, used to speculate over alternative courses of action; . machine learning and data mining, exploited to induce new knowledge from e
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Toward XAI & Human Synergies to Explain the History of Art: The Smart Photobooth Projecth and knowledge dissemination project, it uses a smart photo-booth, capable of automatically transforming the user’s picture into a well-known artistic style (. impressionism), as an interactive approach to introduce the principles of the history of art to the open public and provide them with a sim
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Equilibrium Statistics of Semiconductorsh. With respect to ., GridEx produces . rule lists retaining higher fidelity w.r.t. the original regressor. We report several experiments assessing GridEx performance against . and . (i.e., decision-tree regressors) used as benchmarks.
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