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From complexity in the natural sciences to complexity in operations management systems. Volume 1 PDF

243 Pages·2019·6.483 MB·English
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Preview From complexity in the natural sciences to complexity in operations management systems. Volume 1

From Complexity in the Natural Sciences to Complexity in Operations Management Systems Systems of Systems Complexity Set coordinated by Jean-Pierre Briffaut Volume 1 From Complexity in the Natural Sciences to Complexity in Operations Management Systems Jean-Pierre Briffaut First published 2019 in Great Britain and the United States by ISTE Ltd and John Wiley & Sons, Inc. Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms and licenses issued by the CLA. Enquiries concerning reproduction outside these terms should be sent to the publishers at the undermentioned address: ISTE Ltd John Wiley & Sons, Inc. 27-37 St George’s Road 111 River Street London SW19 4EU Hoboken, NJ 07030 UK USA www.iste.co.uk www.wiley.com © ISTE Ltd 2019 The rights of Jean-Pierre Briffaut to be identified as the author of this work have been asserted by him in accordance with the Copyright, Designs and Patents Act 1988. Library of Congress Control Number: 2019930116 British Library Cataloguing-in-Publication Data A CIP record for this book is available from the British Library ISBN 978-1-78630-368-4 Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix Dedication . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi Chapter 1. Complexity and Systems Thinking . . . . . . . . . . . 1 1.1. Introduction: complexity as a problem . . . . . . . . . . . . . . . 1 1.2. Complexity in perspective . . . . . . . . . . . . . . . . . . . . . . . 3 1.2.1. Etymology and semantics . . . . . . . . . . . . . . . . . . . . 3 1.2.2. Methods proposed for dealing with complexity from the Middle Ages to the 17th Century and their current outfalls . . . . . . . . . . . . . . . . . 4 1.3. System-based current methods proposed for dealing with complexity . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.3.1. Evolution of system-based methods in the 20th Century . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 1.3.2. The emergence of a new science of mind . . . . . . . . . . . 20 1.4. Systems thinking and structuralism . . . . . . . . . . . . . . . . . 24 1.4.1. Systems thinking . . . . . . . . . . . . . . . . . . . . . . . . . . 25 1.4.2. Structuralism . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 1.4.3. Systems modeling . . . . . . . . . . . . . . . . . . . . . . . . . 32 1.5. Biodata of two figureheads in the development of cybernetics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 1.5.1. Ludwig von Bertalanffy (1901–1972) . . . . . . . . . . . . 45 1.5.2. Heinz von Förster (1911–2002) . . . . . . . . . . . . . . . . 47 1.6. References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 vi Complexity in the Natural Sciences and Operations Management Chapter 2. Agent-based Modeling of Human Organizations . . . . . . . . . . . . . . . . . . . . . . . . . 55 2.1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 2.2. Concept of agenthood in the technical world . . . . . . . . . . . 56 2.2.1. Some words about agents explained . . . . . . . . . . . . . . 56 2.2.2. Some implementations of the agenthood paradigm . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 2.3. Concept of agenthood in the social world . . . . . . . . . . . . . 62 2.3.1. Cursory perspective of agenthood in the social world . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 2.3.2. Organization as a collection of agents . . . . . . . . . . . . . 67 2.4. BDI agents as models of organization agents . . . . . . . . . . . 69 2.4.1. Description of BDI agents . . . . . . . . . . . . . . . . . . . . 69 2.4.2. Comments on the structural components of BDI agents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72 2.5. Patterns of agent coordination . . . . . . . . . . . . . . . . . . . . 86 2.5.1. Organizational coordination . . . . . . . . . . . . . . . . . . . 86 2.5.2. Contracting for coordination . . . . . . . . . . . . . . . . . . 86 2.5.3. Coordination by multi-agent planning . . . . . . . . . . . . . 87 2.6. Negotiation patterns . . . . . . . . . . . . . . . . . . . . . . . . . . 92 2.7. Theories behind the organization theory . . . . . . . . . . . . . . 94 2.7.1. Structural and functional theories . . . . . . . . . . . . . . . 95 2.7.2. Cognitive and behavioral theories . . . . . . . . . . . . . . . 96 2.7.3. Organization theory and German culture . . . . . . . . . . . 97 2.8. Organizations and complexity . . . . . . . . . . . . . . . . . . . . 101 2.8.1. Structural complexity. . . . . . . . . . . . . . . . . . . . . . . 101 2.8.2. Behavioral complexity in group decision-making . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 2.8.3. Autonomous agents and complexity in organization operations: inexorable stretch to artificial organization . . . . . . . . . . . . . . . . . . . . . . . . . 106 2.9. References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 Chapter 3. Complexity and Chaos . . . . . . . . . . . . . . . . . . . 119 3.1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 3.2. Complexity and chaos in physics and chemistry . . . . . . . . . 121 3.2.1. Introductory considerations . . . . . . . . . . . . . . . . . . . 121 3.2.2. Quadratic iterator modeling the dynamic behavior of animal and plant populations . . . . . . . . . . . . . . . 127 3.2.3. Traces of chaotic behavior in different contexts . . . . . . . 133 Contents vii 3.3. Order out of chaos . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 3.3.1. Determinism out of an apparent random algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 142 3.3.2. Chaos game and MRCM (Multiple Reduction Copy Machine) . . . . . . . . . . . . . . . . . . . . . . . 144 3.3.3. Randomness and its foolery . . . . . . . . . . . . . . . . . . . 145 3.4. Chaos in organizations – the certainty of uncertainty . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 148 3.4.1. Chaos and big data: what is data deluge? . . . . . . . . . . 148 3.4.2. Change management and adaptation of information systems . . . . . . . . . . . . . . . . . . . . . . . . . . 159 3.5. References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 188 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 191 Appendices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 203 Appendix 1. Notions of Graph Theory for Analyzing Social Networks . . . . . . . . . . . . . . . . . . . . . . 205 Appendix 2. Time Series Analysis with a View to Deterministic Chaos . . . . . . . . . . . . . . . . . . . . . . . 211 Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 215

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