Chapter 1 Introduction
1.1. Motivation
1.2. General definitions of an Agent and Multi-agent systems
1.3. Task coordination mechanisms approaches
1.4. Organizations in Multi-agent Systems
1.5. Multi-agent path planning
1.6. Position of our work and dissertation structure
Chapter 2 Pursuit coalition formation based on Organization and Markov Decision Process
2.1 Introduction
2.2 Environment description
2.3 Agent Group Role
2.4 MDP formal definition and resolution algorithms
2.5 The agents’ motion planning based on MDP
2.6 Simulation experiments
2.7 Summary
Chapter 3 Pursuit cooperation based on the access optimization and the dynamic reorganization
3.1.Introduction
3.2.Fuzzy logic in multi-agent systems
3.3.Yet Another Multi-Agent Model
3.4. Pursuers’ coalition formations based on YAMAM organizational model
3.5. Extension:Agent-Group-Role-Membership Function
3.6. Coalition formation algorithm based on AGRMF
3.7. Simulation experiments
3.8. Summary
Chapter 4 A decentralized cooperative pursuit based on game theoretic principles
4.1. Introduction
4.2. The Iterated Elimination of Dominated Strategies
4.3. Coalition formation algorithm based on IEDS
4.4. NetLogo simulation platform
4.5. Simulation experiments
4.6. Summary
Chapter 5 Pursuit path planning based on an extension of Bug-Algorithms
5.1. Introduction
5.2. Bug Algorithms
5.3. Problem description
5.4. Pursuit path planning based on sensors detection
5.5. Reward Bug-Algorithm
5.6. Pursuit processing based on the Reward Bug-Algorithm
5.7. Simulation experiments
5.8. Summary
Conclusion and future work
参考文献
Publications
声明
致谢
Resume