Explainable, Transparent Autonomous Agents and Multi-Agent Systems
This book constitutes the proceedings of the Second International Workshop on Explainable, Transparent Autonomous Agents and Multi-Agent Systems, EXTRAAMAS 2020, which was due to be held in Auckland, New Zealand, in May 2020. The conference was held virtu
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Davide Calvaresi · Amro Najjar · Michael Winikoff · Kary Främling (Eds.)
Explainable, Transparent Autonomous Agents and Multi-Agent Systems Second International Workshop, EXTRAAMAS 2020 Auckland, New Zealand, May 9–13, 2020 Revised Selected Papers
123
Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
Founding Editor Jörg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Davide Calvaresi Amro Najjar Michael Winikoff Kary Främling (Eds.) •
•
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Explainable, Transparent Autonomous Agents and Multi-Agent Systems Second International Workshop, EXTRAAMAS 2020 Auckland, New Zealand, May 9–13, 2020 Revised Selected Papers
123
Editors Davide Calvaresi University of Applied Sciences Western Switzerland Sierre, Switzerland
Amro Najjar University of Luxembourg Esch-sur-Alzette, Luxembourg
Michael Winikoff Victoria University of Wellington Wellington, New Zealand
Kary Främling Umeå University Umeå, Sweden
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-030-51923-0 ISBN 978-3-030-51924-7 (eBook) https://doi.org/10.1007/978-3-030-51924-7 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
The domain of eXplainable Artificial Intelligence (XAI) emerged to explain the often-opaque decision mechanisms of machine learning algorithms and autonomous systems.
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