Complex Decision-Making in Economy and Finance. Pierre Massotte

      1  Cover

      2  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

      3  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

      4  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