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Table of Contents

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Cover

Introduction: New Beginnings I.1. A present-day situation I.2. A basic awareness: the governance of a system I.3. What lies ahead of us? I.4. Guidelines and ways forward

PART 1: Dealing with Complexity 1 Engineering Complexity within Present-Day Industrial Systems 1.1. Introduction 1.2. Basic properties of complex industrial systems 1.3. The complexity of systems 1.4. Analysis of some industrial dynamic systems 1.5. Applications of new concepts in industrial systems 2 Designing Complex Products and Services 2.1. Complex systems engineering: the basics 2.2. The implementation conditions for self-organization 2.3. Advantages and benefits of a complexity approach 3 Engineering and Complexity Theory: A Field Design Approach 3.1. Design approach for a complex system 3.2. Applications and solutions 3.3. Application: organization and management in companies 3.4. Main conclusions related to the first three chapters 4 Organizational Constraints and Complexity Theory: Modeling with Agents 4.1. A preamble to modeling 4.2. Introducing collective intelligence 4.3. Studying the agent concept 4.4. Applications using agents 4.5. Conclusion: information related to the use and usage of modeling 5 Complexity and the Theory of Organizations: Implementation of Collective Intelligence 5.1. Introducing the notion of collective intelligence 5.2. Definition of a multi-agent system 5.3. Behavioral and interaction strategies between agents 5.4. Concluding comments 6 Complexity and the Theory of Organizations: The Notion of Collective Patterns 6.1. The emergence of collective patterns 6.2. System complexity factors and their measurement 6.3. Conclusion: towards the notion of “complex adaptive systems” (CAS) 7 Complexity and Theory of Organizations: Structure and Architecture of an Enterprise 7.1. Notions of structure in organizations 7.2. Structure of distributed complex systems 7.3. Conclusion 8 Complexity and the Theory of Organizations: Applications 8.1. Applications: trends and models 8.2. Application and implementation of concepts in the “Fractal Factory” 9 Complexity and the Theory of Organizations: Complex Systems Reengineering 9.1. The reengineering of complex systems 9.2. Comments on the technologies used 9.3. Theory of constraints and complexity management 9.4. Measurement of the complexity of a new organization 9.5. Concluding remark 10 Evaluating and Measuring Complexity: The CINSYS Methodology 10.1. A brief overview of the CINSYS system 10.2. What can be found in a CINSYS model? 10.3. Functional analysis of the method: interpretation by the CINSYS symbolic and structural diagram 10.4. Illustration of the method 10.5. What are the advantages of using the method? 10.6. “The network metaphor” as the general application context of the method 10.7. Perspectives beyond the CINSYS method 10.8. Conclusion

PART 2: Dealing with Risk in Complex Environments 11 Underlying Mechanisms in Finance 11.1. Introduction to finance theory and its evolution 11.2. What are the best candidates for the so-called econophysics? 11.3. Action plans in financial regulation and bank regulation: are they ok? 11.4. Back to physics and matter: their contribution 11.5. From matter up to living beings: how can big events be generated? 11.6. The evolution of an economic system – the problem of CRISIS 11.7. Role of complexity and diversity in Nature 11.8. Application: how should we proceed when faced with crises and financial crashes/crises? 11.9. Crisis as the end of an evolution 11.10. Collapse theory and modeling – a theory of the “end” 11.11. Design of financial products: the example of world interconnections 11.12. Conclusion 12 Physics and Social Networks: Domain Similarities 12.1. Introducing a similarity of domains 12.2. On the principle of emergence 12.3. Finance, economics and physics: the quantification of emergence 12.4. About Gödel theorems 12.5. Conclusion 13 Managing Behavioral Risks: Uncertainty and Catastrophes 13.1. Introduction 13.2. Implications for intellectual approaches 13.3. The uncertainties 14 On Managing Risk in the Energy Domain: Conventional Problems Encountered 14.1. From a new oil crisis (peak oil) and the resulting energy crisis 14.2. The future: limit of price increases? Implications of the shortage 14.3. Modeling the problem correctly 14.4. Crisis or heuristic tactics? Large-scale oil shock? 14.5. A few conclusive remarks 15 On Managing Risk in the Financial Domain 15.1. Taking about disasters – from risks to catastrophes in finance 15.2. An interesting approach: financial analysis of losses 15.3. When the drama occurs 15.4. How to conduct a risk consequence analysis process? 15.5. Conservatory measures: risk and diversification 15.6. An additional risk: the decline and inversion rate at the stock exchange 15.7. Concluding with additional risks of the shared economy 16 Why Current Tools Are Inadequate 16.1. On the shortcomings of current tools: risk and probability 16.2. A thematic illustration 16.3. What regularities? 16.4. Characteristics of rational expectations in economics 16.5. Risk characteristics in the industry 16.6. A philosophical summary: chance and necessity 16.7. The environment’s new challenge 17 How to Manage Crises? 17.1. The fundamental principles of crisis management 17.2. Early warning risk signals and the basics of risk management 17.3. Five fundamental elements that describe a company 17.4. About stakeholders 18 Managing Crises in Finance and Other Domains 18.1. Reorienting company aims 18.2. Interactions: towards a crisis model? 19 Technological, Monetary and Financial Crashes 19.1. Yet another view to complexity 19.2. The reference financial systems are continuously changing 19.3. Conclusive discussion

Conclusion: Different Types of Crises C.1. The crises mesh C.2. Changing economic and industrial cultures

List of Abbreviations

References

Index

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Complex Decision-Making in Economy and Finance

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