Relaxed Abduction Robust Information Interpretation for Industrial A
Thomas Hubauer addresses the challenge of providing reasonable interpretations of incomplete observational data in the context of imperfect domain models – a situation often encountered in the context of industrial diagnostics. To tackle this problem, the
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Relaxed Abduction Robust Information Interpretation for Industrial Applications
Relaxed Abduction
Thomas Hubauer
Relaxed Abduction Robust Information Interpretation for Industrial Applications
Thomas Hubauer München, Deutschland Dissertation at the University of Lübeck, 2015
ISBN 978-3-658-14406-7 ISBN 978-3-658-14407-4 (eBook) DOI 10.1007/978-3-658-14407-4 Library of Congress Control Number: 2016942010 Springer Vieweg © Springer Fachmedien Wiesbaden 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 Vieweg imprint is published by Springer Nature The registered company is Springer Fachmedien Wiesbaden GmbH
I owe thanks to a number of people whose continued support made this thesis possible. First and foremost, I would like to express my gratefulness to my family for their encouragement and backing during these years. My thanks extend to Prof. Dr. Ralf Möller for supervising and teaching me as an external PhD candidate over many years, and to Prof. Dr. Till Tantau for his readiness to review my thesis. Last in order but definitely not least in importance, my gratitude goes to Dr. Özgür Özcep, Dr. Steffen Lamparter, and Dr. Stephan Grimm for their criticism, suggestions, and continued encouragement.
Preface Automated information interpretation is gaining momentum in industrial applications. One of the major challenges in this context is the appropriate treatment of incompleteness of both the observations about the world, and the domain model formalizing it. This dissertation proposes a novel approach called "Relaxed Abduction", which is able to provide reasonable interpretations even if it would not be possible or extremely complex to explain all observations made. The approach is based on the idea of treating explanatory power and consilience of an interpretation bi-criterially instead of mapping them onto a one-dimensional scale. Based on a formalization of the proposed approach, the thesis investigates concrete instantiat
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