This will be a two-part handbook on Dynamic Game Theory and part of the Springer Reference program. Part I will be on the fundamentals and theory of dynamic games. It will serve as a quick reference and a source of detailed exposure to topics in dynamic games for a broad community of researchers, educators, practitioners, and students. Each topic will be covered in 2-3 chapters with one introducing basic theory and the other one or two covering recent advances and/or special topics. Part II will be on applications in fields such as economics, management science, engineering, biology, and the social sciences.
Inhaltsverzeichnis
Part I: Theory. - Historical Overview. - Introduction to the Theory of Games. - Repeated Games. - Multistage Games. - Zero-Sum Differential Games. - Nonzero-Sum Differential Games. - Evolutionary Games. - Mean-Field Games. - Stochastic Games. - Learning in Games. - Network Games. - Cooperative Dynamic Games. - Numerical Methods. - Part II: Applications. - Part IIA: Economics. - Resource Economics. - Environment Economics and Climate Change. - Industrial Organization. Macroeconomics. - Energy Markets. - Health Economics. - Auctions. - Mechanism Design. - Part IIB: Management Science. - Operations Management. - Marketing. - Finance. - Accounting. - Part IIC: Engineering. - Robust Designs. - Aerospace. - Transportation. - Security. - Power Systems & Smart Grids. - Communications Networks (Pricing, Congestion Control, Routing, Flow Control). - Part IID: Pursuit-Evasion Games. - Part IIE: Biology (Applications of Evolutionary Game Theory). - Part IIF: Social Networks.