UID:
almahu_9948689697002882
Umfang:
XI, 278 p. 19 illus.
,
online resource.
Ausgabe:
1st ed. 2021.
ISBN:
9783030739591
Serie:
Lecture Notes in Artificial Intelligence ; 12641
Inhalt:
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 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.
Anmerkung:
Trustworthy AI -- Paradigms -- Acting and Optimizing -- Social -- AutoAI.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783030739584
Weitere Ausg.:
Printed edition: ISBN 9783030739607
Sprache:
Englisch
DOI:
10.1007/978-3-030-73959-1
URL:
https://doi.org/10.1007/978-3-030-73959-1
