Game Theory with Engineering Applications

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.

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.