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Record Nr. |
UNINA9910484326303321 |
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Titolo |
Trustworthy AI - Integrating Learning, Optimization and Reasoning : First International Workshop, TAILOR 2020, Virtual Event, September 4–5, 2020, Revised Selected Papers / / edited by Fredrik Heintz, Michela Milano, Barry O'Sullivan |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (xi, 278 pages) : illustrations |
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Collana |
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Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 12641 |
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Disciplina |
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Soggetti |
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Artificial intelligence |
Algorithms |
Social sciences - Data processing |
Education - Data processing |
Application software |
Software engineering |
Artificial Intelligence |
Design and Analysis of Algorithms |
Computer Application in Social and Behavioral Sciences |
Computers and Education |
Computer and Information Systems Applications |
Software Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Trustworthy AI -- Paradigms -- Acting and Optimizing -- Social -- AutoAI. |
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Sommario/riassunto |
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This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on the Foundation of Trustworthy AI - Integrating Learning, Optimization and Reasoning, TAILOR 2020, held virtually in September 2020, associated with ECAI 2020, the 24th European Conference on Artificial Intelligence. The 11 revised full papers presented together with 6 short papers and 6 position papers |
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were reviewed and selected from 52 submissions. The contributions address various issues for Trustworthiness, Learning, reasoning, and optimization, Deciding and Learning How to Act, AutoAI, and Reasoning and Learning in Social Contexts. |
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