Complex Decision-Making in Economy and Finance

Intro -- Table of Contents -- 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).