Engineering systems are highly distributed collective systems - decisions, information, and objectives are distributed throughout - that have humans in the loop, and thus decisions may be influenced by socioeconomic factors. Engineering systems emphasize the potential of control and games beyond traditional applications. Game theory can be used to design incentives to obtain socially desirable behaviors on the part of the players, for example, a change in the consumption patterns on the part of the "prosumers"(producers-consumers) or better redistribution of traffic.
This unique book addresses the foundations of game theory, with an emphasis on the physical intuition behind the concepts, an analysis of design techniques, and a discussion of new trends in the study of cooperation and competition in large complex distributed systems.
Audience: This book is intended for undergraduate and graduate students and researchers in industrial, aeronautical, manufacturing, civil, mechanical, chemical, and electrical engineering. It is also designed for social scientists interested in quantitative methods for sociotechnical systems, biologists working on adaptation mechanisms and evolutionary dynamics, and physicists working on collective systems and synchronization phenomena.
Contents: List of Figures; List of Tables; List of Algorithms; Preface; List of Notation; Part I: Theory; Chapter 1: Introduction to Games; Chapter 2: Two-Person Zero-Sum Games; Chapter 3: Computation of Saddle-Points and Nash Equilibrium Solutions; Chapter 4: Refinement on Nash equilibrium Solutions, Stackelberg Equilibrium, and Pareto Optimality; Chapter 5: Coalitional Games; Chapter 6: Core, Shaply Value, Nucleolus; Chapter 7: Evolutionary Game Theory; Chapter 8: Replicator Dynamics and Learning in Games; Chapter 9: Differential Games; Chapter 10: Stochastic Games; Chapter 11: Games with Vector Payoffs: Approachability and Attainability; Chapter 12: Mean-Field Games; Part II: Applications; Chapter 13: Consensus in Multi-agent Systems; Chapter 14: Demand Side Management; Chapter 15: Synchronization of Power Generators; Chapter 16: Opinion Dynamics; Chapter 17: Bargaining; Chapter 18: Pedestrian Flow; Chapter 19: Supply Chain; Chapter 20: Population of Producers; Chapter 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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A unique book addressing the foundations of game theory, with emphasis on the physical intuition behind the concepts, and new trends in the study of cooperation and competition in large complex distributed systems. It is ideal for both students and researchers in numerous aspects of engineering, including mechanical, industrial and electrical engineering.
Dario Bauso is Reader in Automatic Control and Systems Engineering in the Department of Automatic Control and Systems Engineering at the University of Sheffield (UK) and Associate Professor of Operations Research in the Dipartimento di Ingegneria Chimica, Gestionale, Informatica, Meccanica at the University of Palermo (Italy). From 2012 to 2014 he was Research Fellow in the Department of Mathematics, University of Trento (Italy). He was a visiting scholar in the Mechanical and Aerospace Engineering Department, UCLA, 2001-2002; a short-term visiting scholar in the Department of Automatic Control, Lund University (Sweden) and in the Laboratory of Information and Decision Systems, MIT, 2010; and a visiting lecturer in the Department of Engineering Science, University of Oxford, and in the Department of Electrical and Electronic Engineering, Imperial College London, 2013. He is a member of the Conference Editorial Board of the IEEE Control Systems Society and Associate Editor of IEEE Transactions on Automatic Control, IFAC Automatica, and Dynamic Games and Applications. He was general chair of the 6th Spain, Italy, and Netherlands Meeting on Game Theory (SING 6). His research interests are in the field of optimization, optimal and distributed control, and game theory.
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