Game Theory with Engineering Applications

All titles

Series:

Advances in Design and Control

Author:

Dario Bauso, University of Sheffield

Published:

April 2016

Availability:

Available in limited markets only

Format:

Paperback

ISBN:

9781611974270

£66.99

GBP

Paperback

Description

A key direction for research in systems and control involves engineering systems. These are highly distributed collective systems (with decisions, information and objectives distributed throughout) that involve humans. As a result, decisions have the potential to be influenced by socioeconomic factors outside the realm of limited computation capacities. Engineering systems emphasize the potential of control and games beyond traditional applications and game theory can be used to design incentives to obtain socially desirable behaviours on the part of the players, including changing consumption patterns or better traffic distribution. This unique book addresses both 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 students and researchers in several aspects of engineering, as well as for social scientists or biologists working on adaption mechanisms and evolutionary dynamics.

Addresses the current burst in game theoretic approaches in engineering systems
Explores the foundations of game theory
Useful for a range of specialisms, from social scientists interested in quantitative methods for sociotechnical systems, to physicists working on collective systems and synchronization phenomena

Product details

Published: April 2016
Format: Paperback
ISBN: 9781611974270
Length: 292 pages
Dimensions: 254 × 175 × 16 mm
Weight: 0.56kg
Availability: Available

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Contents

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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Additional Information

About the authors

Author

Dario Bauso , University of Sheffield
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.

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