System Dynamics Modeling with R
This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the feedback perspective of complex systems, the book p
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Jim Duggan
System Dynamics Modeling with R
Lecture Notes in Social Networks Series editors Reda Alhajj, University of Calgary, Calgary, AB, Canada Uwe Glässer, Simon Fraser University, Burnaby, BC, Canada Advisory Board Charu Aggarwal, IBM T.J. Watson Research Center, Hawthorne, NY, USA Patricia L. Brantingham, Simon Fraser University, Burnaby, BC, Canada Thilo Gross, University of Bristol, Bristol, UK Jiawei Han, University of Illinois at Urbana-Champaign, IL, USA Huan Liu, Arizona State University, Tempe, AZ, USA Raúl Manásevich, University of Chile, Santiago, Chile Anthony J. Masys, Centre for Security Science, Ottawa, ON, Canada Carlo Morselli, University of Montreal, QC, Canada Rafael Wittek, University of Groningen, The Netherlands Daniel Zeng, The University of Arizona, Tucson, AZ, USA
More information about this series at http://www.springer.com/series/8768
Jim Duggan
System Dynamics Modeling with R
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Jim Duggan School of Engineering and Informatics National University of Ireland Galway Galway Ireland
ISSN 2190-5428 ISSN 2190-5436 (electronic) Lecture Notes in Social Networks ISBN 978-3-319-34041-8 ISBN 978-3-319-34043-2 (eBook) DOI 10.1007/978-3-319-34043-2 Library of Congress Control Number: 2016939926 © 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
To Marie, Kate and James
Foreword
Since the emergence of system dynamics (SD) in the late 1950s, a range of literature has been published describing the methodology and detailing the best practices in model formulation together with its application to an ever-increasing span of domains. It would be true to say that the aspiring practitioner now has an enormous array of choices through which their competence in SD can be developed and broadened, far more so than faced those of us seeking to hone our
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