New Frontiers in Information and Production Systems Modelling and Analysis
This book demonstrates how to apply modern approaches to complex system control in practical applications involving knowledge-based systems. The dimensions of knowledge-based systems are extended by incorporating new perspectives from control theory, mult
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Przemysław Różewski Dmitry Novikov Natalia Bakhtadze Oleg Zaikin Editors
New Frontiers in Information and Production Systems Modelling and Analysis Incentive Mechanisms, Competence Management, Knowledge-based Production
Intelligent Systems Reference Library Volume 98
Series editors Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected] Lakhmi C. Jain, University of Canberra, Canberra, Australia, and University of South Australia, Adelaide, Australia e-mail: [email protected]
About this Series The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included.
More information about this series at http://www.springer.com/series/8578
Przemysław Różewski Dmitry Novikov Natalia Bakhtadze Oleg Zaikin •
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Editors
New Frontiers in Information and Production Systems Modelling and Analysis Incentive Mechanisms, Competence Management, Knowledge-based Production
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Editors Przemysław Różewski Faculty of Computer Science and Information Systems West Pomeranian University of Technology in Szczecin Szczecin Poland Dmitry Novikov Trapeznikov Institute of Control Sciences Russian Academy of Sciences Moscow Russia
Natalia Bakhtadze Trapeznikov Institute of Control Sciences Russian Academy of Sciences Moscow Russia Oleg Zaikin Warsaw School of Computer Science Warsaw Poland
ISSN 1868-4394 ISSN 1868-4408 (electronic) Intelligent Systems Reference Library ISBN 978-3-319-23337-6 ISBN 978-3-319-23338-3 (eBook) DOI 10.1007/978-3-319-23338-3 Library of Congress Control Number: 2015950013 Springer Cham Heidelberg New York Dordrecht London © 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
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