{"product_id":"smart-decisions-in-complex-systems-hardback-9781786301109","title":"Smart Decisions in Complex Systems (Hardback) 9781786301109","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eSmart Decisions in Complex Systems\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003ePierre Massotte (Author), Patrick Corsi (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781786301109, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 6 June 2017\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e384 pages\u003cbr\u003e23.9 x 16.3 x 2.5 cm, 0.703 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eFaced with ever-increasing complexity on a daily basis, the decision-makers of today are struggling to find the appropriate models, methods and tools to face the issues arising in complex systems across all levels of global operations.\u003c\/p\u003e \u003cp\u003eHaving, in the past, resorted to outdated approaches which limit problem-solving to linear world views, we must now capitalize on complexities in order to succeed and progress in our society.\u003c\/p\u003e \u003cp\u003eThis book provides a guide to harnessing the wealth inherent to complex systems. It organizes the transition to complex decision-making in all business spheres while providing many examples in various application domains. \u003c\/p\u003e \u003cp\u003eThe authors offer fresh developments for understanding and mastering the global “uberization” of the economy, the post-modern management of computer-assisted production and the rise of cognitive robotics science applications.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003eAcknowledgments xvii\u003c\/p\u003e \u003cp\u003eList of Acronyms xix\u003c\/p\u003e \u003cp\u003eIntroduction xxv\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 The Foundations of Complexity 3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Complexities and simplexities: paradigms and perspectives 3\u003c\/p\u003e \u003cp\u003e1.1.1 Positioning the problem 4\u003c\/p\u003e \u003cp\u003e1.1.2 Reminders, basics and neologisms 5\u003c\/p\u003e \u003cp\u003e1.1.3 What are the analytical steps in a complex system? 16\u003c\/p\u003e \u003cp\u003e1.1.4 Organization and management principles in complex systems 31\u003c\/p\u003e \u003cp\u003e1.1.5 Action and decision processes in self-organized systems 35\u003c\/p\u003e \u003cp\u003e1.1.6 Notions of centralization and decentralization 36\u003c\/p\u003e \u003cp\u003e1.2 What is the prerequisite for the handling of a complex system? 43\u003c\/p\u003e \u003cp\u003e1.3 Applications: industrial complex systems 45\u003c\/p\u003e \u003cp\u003e1.3.1 Distributed workshop management system 45\u003c\/p\u003e \u003cp\u003e1.3.2 Analysis and diagnosis of a complex system 47\u003c\/p\u003e \u003cp\u003e1.3.3 Some recommendations and comments to conclude 48\u003c\/p\u003e \u003cp\u003e1.4 Time to conclude 50\u003c\/p\u003e \u003cp\u003e1.4.1 Summary 50\u003c\/p\u003e \u003cp\u003e1.4.2 Lessons and perspectives 51\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2 53\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Evidencing Field Complexity 55\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 55\u003c\/p\u003e \u003cp\u003e2.2 Qualitative study of deterministic chaos in a dynamic simple system 58\u003c\/p\u003e \u003cp\u003e2.2.1 Description of a few simple cases 58\u003c\/p\u003e \u003cp\u003e2.2.2 Initial conditions related to the emergence of chaos 59\u003c\/p\u003e \u003cp\u003e2.2.3 Modeling and mathematical analysis of chaos 62\u003c\/p\u003e \u003cp\u003e2.2.4 Application at the level of a simple cell 63\u003c\/p\u003e \u003cp\u003e2.3 Test for the presence of deterministic chaos in a simple dynamic system 68\u003c\/p\u003e \u003cp\u003e2.3.1 Characterization of the systems studied 69\u003c\/p\u003e \u003cp\u003e2.3.2 A general question: is there deterministic chaos? 70\u003c\/p\u003e \u003cp\u003e2.4 Properties of chaos in complex systems 77\u003c\/p\u003e \u003cp\u003e2.4.1 Study of an elementary cell 77\u003c\/p\u003e \u003cp\u003e2.4.2 Complex cellular systems 81\u003c\/p\u003e \u003cp\u003e2.5 Effects of fractal chaos in “Complexity” theory 83\u003c\/p\u003e \u003cp\u003e2.5.1 Organized complexity 83\u003c\/p\u003e \u003cp\u003e2.5.2 Innovative complexity 84\u003c\/p\u003e \u003cp\u003e2.5.3 Random complexity 85\u003c\/p\u003e \u003cp\u003e2.5.4 Principles of implementation 87\u003c\/p\u003e \u003cp\u003e2.6 Self-organization: relations and the role of chaos 87\u003c\/p\u003e \u003cp\u003e2.6.1 Introduction 87\u003c\/p\u003e \u003cp\u003e2.6.2 How to combine self-organization and chaos 88\u003c\/p\u003e \u003cp\u003e2.6.3 Critical self-organized systems 89\u003c\/p\u003e \u003cp\u003e2.6.4 Networked systems and co-operative systems 90\u003c\/p\u003e \u003cp\u003e2.6.5 The three states of a dynamic complex system 93\u003c\/p\u003e \u003cp\u003e2.6.6 Towards a typology of behavioral complexity 94\u003c\/p\u003e \u003cp\u003e2.7 Applications: introduction of new concepts in systems 95\u003c\/p\u003e \u003cp\u003e2.7.1 Questions on the management of complex industrial systems 95\u003c\/p\u003e \u003cp\u003e2.7.2 Implementation of the concepts of chaos and self-organization 96\u003c\/p\u003e \u003cp\u003e2.8 Conclusions 98\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 The New “Complex” Operational Context 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 The five phases of economy – how everything accelerates at the same time 101\u003c\/p\u003e \u003cp\u003e3.2 The expected impact on just about everything 105\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Taking Up Complexity 109\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Taking into account complex models 109\u003c\/p\u003e \u003cp\u003e4.1.1 A brief overview of the approach called “complexity” 109\u003c\/p\u003e \u003cp\u003e4.1.2 Another (bio-inspired) vision of the world: universality 112\u003c\/p\u003e \u003cp\u003e4.1.3 How to address complexity in this universal world? 115\u003c\/p\u003e \u003cp\u003e4.1.4 The usefulness of this book 116\u003c\/p\u003e \u003cp\u003e4.2 Economy and management of risks 117\u003c\/p\u003e \u003cp\u003e4.2.1 Important challenges to raise 117\u003c\/p\u003e \u003cp\u003e4.2.2 Adapted vocabulary that it is useful to adopt 118\u003c\/p\u003e \u003cp\u003e4.2.3 What do we mean by dynamic pricing? 119\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 3 121\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Tackling Complexity with a Methodology 123\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Any methodology must first enrich the systemic interrelationships 123\u003c\/p\u003e \u003cp\u003e5.1.1 The innovation economy: the dynamic management of innovation 124\u003c\/p\u003e \u003cp\u003e5.1.2 A basic mechanism of efficient innovation 125\u003c\/p\u003e \u003cp\u003e5.1.3 The benefits of such a shift mechanism 126\u003c\/p\u003e \u003cp\u003e5.2 Towards a transdisciplinary co-economy 126\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Management and Control of Complex Systems 129\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 129\u003c\/p\u003e \u003cp\u003e6.2 Complex systems: the alternatives 132\u003c\/p\u003e \u003cp\u003e6.2.1 Notions of sociability in agent communities 132\u003c\/p\u003e \u003cp\u003e6.2.2 The evolutionary principles of complex systems 134\u003c\/p\u003e \u003cp\u003e6.3 Control principles of production systems 135\u003c\/p\u003e \u003cp\u003e6.3.1 Introduction 135\u003c\/p\u003e \u003cp\u003e6.3.2 Control: by scheduling or by configuration? 136\u003c\/p\u003e \u003cp\u003e6.3.3 The tools used in monitoring and control 140\u003c\/p\u003e \u003cp\u003e6.4 PABADIS: an example of decentralized control 141\u003c\/p\u003e \u003cp\u003e6.4.1 Introduction 141\u003c\/p\u003e \u003cp\u003e6.4.2 Context and objectives of the PABADIS project 142\u003c\/p\u003e \u003cp\u003e6.4.3 Conceptual overview of PABADIS 142\u003c\/p\u003e \u003cp\u003e6.4.4 Principle of adopted convergence: the inverse solution 144\u003c\/p\u003e \u003cp\u003e6.4.5 Implementation 145\u003c\/p\u003e \u003cp\u003e6.5 Generalization of the concepts and mechanisms 146\u003c\/p\u003e \u003cp\u003e6.5.1 Introduction 146\u003c\/p\u003e \u003cp\u003e6.5.2 Allocation of resources: the agents in complex production systems 147\u003c\/p\u003e \u003cp\u003e6.5.3 Allocation of resources: the negotiation protocols 147\u003c\/p\u003e \u003cp\u003e6.5.4 Optimization of the resource allocation process 148\u003c\/p\u003e \u003cp\u003e6.6 A basic mechanism of control – the auction 150\u003c\/p\u003e \u003cp\u003e6.6.1 Introduction 150\u003c\/p\u003e \u003cp\u003e6.6.2 The mechanism of the auction 151\u003c\/p\u003e \u003cp\u003e6.6.3 Comparative review of the types of auctions 153\u003c\/p\u003e \u003cp\u003e6.6.4 Findings on the interest of the auction mechanism 155\u003c\/p\u003e \u003cp\u003e6.7 The control of self-organized systems 156\u003c\/p\u003e \u003cp\u003e6.7.1 Introduction 156\u003c\/p\u003e \u003cp\u003e6.7.2 The types and mechanisms of self-organization 157\u003c\/p\u003e \u003cp\u003e6.7.3 Towards a dynamic integrated model: Cellular Automata (CA) 160\u003c\/p\u003e \u003cp\u003e6.7.4 Self-organization: forms and configurations obtained 165\u003c\/p\u003e \u003cp\u003e6.7.5 Conclusion and implementation of the ACCA concept, a major model 167\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Platforms for Taking up Complexity 169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 The VFDCS: a platform for implementation 169\u003c\/p\u003e \u003cp\u003e7.1.1 Controlling the phenomena of self-organization 171\u003c\/p\u003e \u003cp\u003e7.1.2 Methodology for implementation and the validation of concepts 172\u003c\/p\u003e \u003cp\u003e7.2 The application of VFDCS: the auction market 174\u003c\/p\u003e \u003cp\u003e7.2.1 The concept of the “Container” in the auction market 176\u003c\/p\u003e \u003cp\u003e7.2.2 Feedbacks and results 176\u003c\/p\u003e \u003cp\u003e7.2.3 Discussion 178\u003c\/p\u003e \u003cp\u003e7.3 The application of VFDCS: the virtual supply chain 179\u003c\/p\u003e \u003cp\u003e7.3.1 Introduction 179\u003c\/p\u003e \u003cp\u003e7.3.2 Architecture of the virtual supply chain 181\u003c\/p\u003e \u003cp\u003e7.3.3 Results and comments 184\u003c\/p\u003e \u003cp\u003e7.3.4 Conclusion 185\u003c\/p\u003e \u003cp\u003e7.3.5 Enhancement of the multi-agent platform 186\u003c\/p\u003e \u003cp\u003e7.4 General method for the control of systems 186\u003c\/p\u003e \u003cp\u003e7.4.1 Introduction 186\u003c\/p\u003e \u003cp\u003e7.4.2 Reminders and definitions 187\u003c\/p\u003e \u003cp\u003e7.4.3 Analytical approach to consistency 188\u003c\/p\u003e \u003cp\u003e7.4.4 Methods for the analysis and monitoring of performances 189\u003c\/p\u003e \u003cp\u003e7.4.5 Critical analysis of the convergence of configurations 192\u003c\/p\u003e \u003cp\u003e7.5 Conclusions and prospects 194\u003c\/p\u003e \u003cp\u003e7.5.1 Synthesis 194\u003c\/p\u003e \u003cp\u003e7.5.2 Discussion 195\u003c\/p\u003e \u003cp\u003e7.5.3 Comparison of approaches, tools and applications 197\u003c\/p\u003e \u003cp\u003e7.5.4 Results 199\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4 201\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIntroduction to Part 4 203\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Applying Intrinsic Complexity: The Uberization of the Economy 207\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Preamble 207\u003c\/p\u003e \u003cp\u003e8.2 The context: new opportunities and new consumption needs 207\u003c\/p\u003e \u003cp\u003e8.3 The domains that are studied in this chapter 208\u003c\/p\u003e \u003cp\u003e8.4 Concepts, definitions and remainders 209\u003c\/p\u003e \u003cp\u003e8.4.1 Uberization 209\u003c\/p\u003e \u003cp\u003e8.4.2 Digitalization of the economy 210\u003c\/p\u003e \u003cp\u003e8.4.3 Collaborative consumption (CC) 211\u003c\/p\u003e \u003cp\u003e8.4.4 Model generalization: the sharing economy 211\u003c\/p\u003e \u003cp\u003e8.4.5 Participatory financing 211\u003c\/p\u003e \u003cp\u003e8.5 The business model and key elements 213\u003c\/p\u003e \u003cp\u003e8.5.1 Practicing networks 213\u003c\/p\u003e \u003cp\u003e8.5.2 Positive and negative impacts of network applications 214\u003c\/p\u003e \u003cp\u003e8.5.3 The problem of producer–consumers and consumer–producers 215\u003c\/p\u003e \u003cp\u003e8.5.4 Underlying mechanisms: some differences with the usual economic systems 216\u003c\/p\u003e \u003cp\u003e8.5.5 A form of social hypocrisy? 217\u003c\/p\u003e \u003cp\u003e8.5.6 Generalization: the management rules for P2P 219\u003c\/p\u003e \u003cp\u003e8.6 The problem of property and resource allocation 220\u003c\/p\u003e \u003cp\u003e8.6.1 The growing role of platforms 220\u003c\/p\u003e \u003cp\u003e8.6.2 The prisoner’s dilemma 223\u003c\/p\u003e \u003cp\u003e8.6.3 Games theory: an introduction 224\u003c\/p\u003e \u003cp\u003e8.6.4 Nonlinear models in game theory 224\u003c\/p\u003e \u003cp\u003e8.7 The uberization approach in context 226\u003c\/p\u003e \u003cp\u003e8.7.1 Simplexification 227\u003c\/p\u003e \u003cp\u003e8.7.2 Increasing complexity: the influence of cognitive approaches 227\u003c\/p\u003e \u003cp\u003e8.8 Generalization: the complexity of allocation problems 230\u003c\/p\u003e \u003cp\u003e8.9 Conclusion 234\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Computer-assisted Production Management 235\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction and reminders 235\u003c\/p\u003e \u003cp\u003e9.2 Intercommunication networks 236\u003c\/p\u003e \u003cp\u003e9.2.1 Notions of complexity in networks 236\u003c\/p\u003e \u003cp\u003e9.2.2 A few concepts of parallelism 237\u003c\/p\u003e \u003cp\u003e9.2.3 Elements of parallelism and associated architectures 237\u003c\/p\u003e \u003cp\u003e9.2.4 Transposition into industrial or social applications 239\u003c\/p\u003e \u003cp\u003e9.3 Communication network topologies 240\u003c\/p\u003e \u003cp\u003e9.3.1 Some characteristics of different network topologies 241\u003c\/p\u003e \u003cp\u003e9.3.2 Construction of a hypercube 242\u003c\/p\u003e \u003cp\u003e9.3.3 Notions of symmetry: cutting a hypercube 243\u003c\/p\u003e \u003cp\u003e9.3.4 The shortest path between two processors 244\u003c\/p\u003e \u003cp\u003e9.4 A few important properties 244\u003c\/p\u003e \u003cp\u003e9.5 Analysis of new concepts and methods in manufacturing sciences: instabilities, responsiveness and flexibility 246\u003c\/p\u003e \u003cp\u003e9.5.1 General approach: planning and scheduling 247\u003c\/p\u003e \u003cp\u003e9.5.2 Illustration in management systems 247\u003c\/p\u003e \u003cp\u003e9.5.3 Problems and remarks 250\u003c\/p\u003e \u003cp\u003e9.5.4 Improvements in planning and scheduling 251\u003c\/p\u003e \u003cp\u003e9.5.5 Improvements in configuration\/reconfiguration 252\u003c\/p\u003e \u003cp\u003e9.5.6 Global improvements through simulation 253\u003c\/p\u003e \u003cp\u003e9.5.7 Inverse modeling and simulation 254\u003c\/p\u003e \u003cp\u003e9.6 New concepts for managing complex systems 256\u003c\/p\u003e \u003cp\u003e9.6.1 Traditional approach 257\u003c\/p\u003e \u003cp\u003e9.6.2 Recent improvements in the management of systems 260\u003c\/p\u003e \u003cp\u003e9.7 The change of conduct 264\u003c\/p\u003e \u003cp\u003e9.8 Improvements in manufacturing: process balancing 266\u003c\/p\u003e \u003cp\u003e9.9 Conclusion: main action principles in complex environments 267\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10 Complexity and Cognitive Robotics 271\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 271\u003c\/p\u003e \u003cp\u003e10.2 The new industrial revolution 272\u003c\/p\u003e \u003cp\u003e10.3 The factory of the future: trend or revolution? 272\u003c\/p\u003e \u003cp\u003e10.4 Inputs for the factory of the future and their impact on the industry’s professions 275\u003c\/p\u003e \u003cp\u003e10.5 Conditions for success 276\u003c\/p\u003e \u003cp\u003e10.6 The data sciences 277\u003c\/p\u003e \u003cp\u003e10.6.1 Introduction to the characteristics of “Big Data” 277\u003c\/p\u003e \u003cp\u003e10.6.2 The problem of Big Data 277\u003c\/p\u003e \u003cp\u003e10.6.3 A new profession: the data scientist 279\u003c\/p\u003e \u003cp\u003e10.6.4 Some ask, how will this be possible? 279\u003c\/p\u003e \u003cp\u003e10.6.5 The field of large numbers 280\u003c\/p\u003e \u003cp\u003e10.7 A few technologies in data sciences 281\u003c\/p\u003e \u003cp\u003e10.7.1 The steps of reasoning based on the experience of the inductive approach and on the verification of hypotheses 281\u003c\/p\u003e \u003cp\u003e10.7.2 The “Lasso” method 281\u003c\/p\u003e \u003cp\u003e10.7.3 Kernel regression methods 282\u003c\/p\u003e \u003cp\u003e10.7.4 The random forests 283\u003c\/p\u003e \u003cp\u003e10.7.5 Neural networks 284\u003c\/p\u003e \u003cp\u003e10.7.6 Comments on clustering and graph partitioning issues 286\u003c\/p\u003e \u003cp\u003e10.7.7 Cognitive informatics – cognitivism 286\u003c\/p\u003e \u003cp\u003e10.8 Mechanisms of conventional cognitive engineering 288\u003c\/p\u003e \u003cp\u003e10.9 The new mechanisms of engineering 289\u003c\/p\u003e \u003cp\u003e10.9.1 Transduction 289\u003c\/p\u003e \u003cp\u003e10.9.2 Reasoning by constructed analogies 290\u003c\/p\u003e \u003cp\u003e10.10 The study of links and relationships in large databases 290\u003c\/p\u003e \u003cp\u003e10.10.1 Comment 291\u003c\/p\u003e \u003cp\u003e10.11 Application of cognitive robotics: the Watson platform 291\u003c\/p\u003e \u003cp\u003e10.11.1 Applications 292\u003c\/p\u003e \u003cp\u003e10.12 The impossibilities and unpredictabilities of complexity 293\u003c\/p\u003e \u003cp\u003e10.13 Current strategies of digitalization 295\u003c\/p\u003e \u003cp\u003e10.13.1 Reference examples and discussion 296\u003c\/p\u003e \u003cp\u003e10.13.2 Gnosis 298\u003c\/p\u003e \u003cp\u003e10.13.3 “Data is Centric” 299\u003c\/p\u003e \u003cp\u003e10.14 Conclusion: a maximum risk economy 300\u003c\/p\u003e \u003cp\u003eBibliography 303\u003c\/p\u003e \u003cp\u003eIndex 327\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Business \u0026amp; management [\u003ca title=\"See our other books on Business \u0026amp; management\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Business%20\u0026amp;%20management%20%5BKJ%5D%22\"\u003eKJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand New","offer_id":52446341955864,"sku":"9781786301109","price":114.58,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781786301109.jpg?v=1785111364","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/smart-decisions-in-complex-systems-hardback-9781786301109","provider":"Freshly Printed Books","version":"1.0","type":"link"}