This unique book discusses the foundations of game theory, its applications to engineering systems, and new trends, and is ideal for both students and researchers.
This unique book discusses the foundations of game theory, its applications to engineering systems, and new trends, and is ideal for both students and researchers.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dario Bauso is Reader in Automatic Control and Systems Engineering at the University of Sheffield (UK) and Associate Professor of Operations Research at the University of Palermo (Italy). He was previously a Research Fellow at the University of Trento in Italy; a visiting scholar at the University of California, Los Angeles; a short-term visiting scholar at Lund University in Sweden, and in the Laboratory of Information and Decision Systems at the Massachusetts Institute of Technology; and a visiting lecturer at both the University of Oxford and Imperial College London. He is a member of the Conference Editorial Board of the IEEE Control Systems Society and Associate Editor of IEEE Transactions on Automatic Control, Automatica, and Dynamic Games and Applications. He was general chair of the 6th Spain, Italy, and Netherlands Meeting on Game Theory. His research interests are in the field of optimization, optimal and distributed control, and game theory.
Inhaltsangabe
List of figures List of tables List of algorithms Preface List of notation Part I. Theory: 1. Introduction to games 2. Two-person zero-sum games 3. Computation of saddle-points and Nash equilibrium solutions 4. Refinement on Nash equilibrium solutions, Stackelberg equilibrium, and Pareto optimality 5. Coalitional games 6. Core, shaply value, nucleolus 7. Evolutionary game theory 8. Replicator dynamics and learning in games 9. Differential games 10. Stochastic games 11. Games with vector payoffs: approachability and attainability 12. Mean-field games Part II. Applications: 13. Consensus in multi-agent systems 14. Demand side management 15. Synchronization of power generators 16. Opinion dynamics 17. Bargaining 18. Pedestrian flow 19. Supply chain 20. Population of producers 21. Cyber-physical systems Appendix A. Mathematical review Appendix B. Optimization Appendix C. Lyapunov stability Appendix D. Some notions of probability theory Appendix E. Stochastic stability Appendix F. Indistinguishability and mean-field convergence Bibliography Index.
List of figures List of tables List of algorithms Preface List of notation Part I. Theory: 1. Introduction to games 2. Two-person zero-sum games 3. Computation of saddle-points and Nash equilibrium solutions 4. Refinement on Nash equilibrium solutions, Stackelberg equilibrium, and Pareto optimality 5. Coalitional games 6. Core, shaply value, nucleolus 7. Evolutionary game theory 8. Replicator dynamics and learning in games 9. Differential games 10. Stochastic games 11. Games with vector payoffs: approachability and attainability 12. Mean-field games Part II. Applications: 13. Consensus in multi-agent systems 14. Demand side management 15. Synchronization of power generators 16. Opinion dynamics 17. Bargaining 18. Pedestrian flow 19. Supply chain 20. Population of producers 21. Cyber-physical systems Appendix A. Mathematical review Appendix B. Optimization Appendix C. Lyapunov stability Appendix D. Some notions of probability theory Appendix E. Stochastic stability Appendix F. Indistinguishability and mean-field convergence Bibliography Index.
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