Algorithmic Learning Theory 27th International Conference, ALT 2016,
This book constitutes the refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari, Italy, in October 2016, co-located with the 19th International Conference on Discovery Science, DS 2016. The 24 reg
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Ronald Ortner Hans Ulrich Simon Sandra Zilles (Eds.)
Algorithmic Learning Theory 27th International Conference, ALT 2016 Bari, Italy, October 19–21, 2016 Proceedings
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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science
LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany
LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany
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More information about this series at http://www.springer.com/series/1244
Ronald Ortner Hans Ulrich Simon Sandra Zilles (Eds.) •
Algorithmic Learning Theory 27th International Conference, ALT 2016 Bari, Italy, October 19–21, 2016 Proceedings
123
Editors Ronald Ortner Montanuniversität Leoben Leoben Austria
Sandra Zilles University of Regina Regina, SK Canada
Hans Ulrich Simon Ruhr-Universität Bochum Bochum Germany
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-46378-0 ISBN 978-3-319-46379-7 (eBook) DOI 10.1007/978-3-319-46379-7 Library of Congress Control Number: 2016950899 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer International Publishing Switzerland 2016 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. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Preface
This volume contains the papers presented at the 27th International Conference on Algorithmic Learning Theory (ALT 2016). ALT 2016 was co-located with the 19th International Conference on Discovery Science (DS 2016). Both conferences were held during October 19–21 in the beautiful city of Bari, Italy. The technical program of ALT 2016 had five invited talks (presented jointly to both ALT 2016 and DS 2016) and 24 papers selected from 45 submissions by the ALT Program Committee. ALT is dedicated to
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