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Table of contents
Chapter 1 Complex Systems
1.1. Complex Systems Definition
1.2. Relevant Characteristics
1.3. Examples
1.4. Challenges in the study of complex systems
1.4.1. Modeling
1.4.2. Engineering
1.4.3. Control
1.5. Difficulties of control of complex systems
1.5.1. Local actions with global effects
1.5.2. Entities autonomy
1.5.3. Modeling
1.5.4. Preexisting systems
1.6. Governance and control of complex systems
1.7. Synthesis
Chapter 2 Related Work
2.1. Introduction
2.2. Control Theory
2.3. Equation Free approach
2.4. Modeling complex systems
2.4.1. Multi-agent paradigm
2.4.2. Agent-Based Models
2.5. Applications of multi-agent paradigm in the control of complex systems
2.5.1. Organic Computing
2.5.2. Control of Self-Organizing systems
2.5.3. Prosa
2.5.4. PolyAgent
2.5.5. Morphology
2.5.6. Emergent Engineering
2.5.7. Control of reactive multi-agent system with reinforcement learning tools .
2.6. Synthesis
2.7. Conclusions
Chapter 3 A control architecture
3.1. Introduction
3.2. Principles
3.3. Definition of the architecture
3.3.1. Architecture elements
3.3.2. Hypothesis of the architecture
3.3.3. Concise definition
3.3.4. Preliminary synthesis
3.4. Detailed view
3.4.1. Block Definition Diagram of the architecture
3.4.2. Internal Block Diagram of the architecture
3.4.3. Execution flow of the architecture
3.4.4. Complementary view of the elements of the control architecture
3.5. Assessment on the relevance of our proposition
3.5.1. Architecture elements and difficulties of the control of complex systems challenge
3.5.2. Equation free approach and multi-agent models in the architecture
3.5.3. Governance related aspects
3.6. Conclusion
Chapter 4 Proof of concept Implementation
4.1. Introduction
4.2. Peer-to-Peer networks as complex systems
4.3. Target system specification
4.3.1. Description
4.3.2. Target system state
4.4. Target system implementation
4.4.1. Internal behavior of the peers
4.4.2. Number of peers in the network
4.4.3. Network organization
4.4.4. Initial proportion of sharing peers
4.4.5. Update Scheme
4.4.6. Summary
4.5. Preliminary study on the behavior of the target system
4.5.1. Analytical point of view
4.5.2. Beyond the analytical model
4.5.3. Results and conclusions on the preliminary study
4.5.4. Retained Initial conditions
4.5.5. Focus on the behavior of the target system associated to retained initial conditions
4.6. Experimentation platform
4.7. Experimental Setup
4.7.1. Control Objective
4.7.2. Architecture implementation overview
4.7.3. Architecture implementation details
4.8. Experiments and Results
4.8.1. Description of experiments
4.8.2. Synthesis of results
4.8.3. Discussion on the results
4.9. Discussion
4.10. Conclusions
Chapter 5 Multi-agent simulation questions inside the architecture
5.1. Introduction
5.2. Initialization of models
5.2.1. Target systems implementation
5.2.2. Nominal Behavior
5.2.3. Experimental setup
5.2.4. Experiments and Results
5.2.5. Discussion
5.2.6. Conclusions
5.3. Model selection
5.3.1. Target system implementation
5.3.2. Experimental setup
5.3.3. Experiments and Results
5.3.4. Discussion
5.4. Conclusions
Chapter 6 Conclusion
Bibliography
