Mean-Field-Type Game Theory I

Part 1. Discrete State Markov Games of Mean-Field Type.- Chapter 1. One-Shot Mean-Field-Type Games.- Chapter 2. Markov Games.- Chapter 3. Mean-Field-Type Games with Discrete State Spaces.- Part 2. Equilibrium Principles.- Chapter 4. Stochastic Maximum Principle.- Chapter 5. Dynamic Programming Principle.- Part 3. Classes of Mean-Field-Type Games .- Chapter 6. Non Asymptotic Mean-Field-Type Games.- Chapter 7. Linear-Quadratic Mean-Field and Mean-Field-Type Differential Games.- Chapter 8. Mean-Field-Type Games with Jump and Regime Switching.- Chapter 9. MASS: Master Adjoint Systems.- Chapter 10. Semi-Explicit Solutions in Non-Quadratic Mean-Field-Type Games.- Chapter 11. Stackelberg Mean-Field-Type Games.- Chapter 12. Mean-Field-Type Games Driven by Rosenblatt Noises.- Chapter 13. Mean-Field-Type Games with Asymmetric Information.- Chapter 14. Difference Games of Mean-Field Type.- Part 4. Wrap-up.- Chapter 15. Conclusions and New Directions.

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Communication Networks;Cooperative Games;Distributed Systems;Dynamic Games;Game Theory;Large-scale Systems;Stochastic Control Theory;Stochastic Optimization