Part I: Cooperative Dynamic Games (Plenary Lectures).- Dynamically Stable Cooperative Provision of Public Goods Under Transferable Utility.- Strongly Time-Consistent Solutions in Cooperative Dynamic Games.- Part II: Stackelberg Games.- Incentive Stackelberg Games for Stochastic Systems.- Social and Private Interests Coordination Engines in Resource Allocation: System Compatibility, Corruption and Regional Development.- Part III: Games on Graphs and Networks.- A Multi-Stage Model of searching for Two Mobile Objects on a Graph.- The Impact of Product Differentiation on Symmetric R&D Networks.- Part IV: Numerical Methods in Games and Dynamic Games.- Global Optimization Approach to Nonzero Sum Six-Person Game.- An Infinite-Horizon Mean Field Game of Growth and Capital Accumulation: A Markov Chain Approximation Numerical Scheme and Its Challenges.
This contributed volume presents the state-of-the-art of games and dynamic games, featuring several chapters based on plenary sessions at the ISDG-China Chapter Conference on Dynamic Games and Game Theoretic Analysis, which was held from August 3-5, 2017 at the Ningbo campus of the University of Nottingham, China. The chapters in this volume will provide readers with paths to further research, serving as a testimony to the vitality of the field. Experts cover a range of theory and applications related to games and dynamic games, with topics including:
Dynamically stable cooperative provision of public goods under non-transferable utility
Strongly time-consistent solutions in cooperative dynamic games
Incentive Stackelberg games for stochastic systems
Static and inverse Stackelberg games in political economy
Cournot and Betrand competition on symmetric R&D networks
Numerical Nash equilibria using curvilinear multistart algorithm
Markov chain approximation numerical scheme for infinite-horizon mean field games
Frontiers in Games and Dynamic Games will appeal to an interdisciplinary audience of researchers, practitioners, and graduate students interested in games and dynamic games.