Dynamic Games: Backward Induction and Nash Equilibria

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Discusses Stackelberg games and backward induction, illustrating game theory concepts through examples and applications in real-world scenarios.

Explores multistage games, focusing on extensive form and feedback strategies, including Nash equilibria and backward induction methods.

Covers potential games, their properties, and the convergence of best-response dynamics to Nash equilibria.

Covers game theory fundamentals, Nash equilibrium, and strategic interactions in multi-agent systems.

Covers dynamic games, focusing on their structure, applications, and the transition from tree to loop models.

Covers Markov games, their dynamics, equilibria, and applications in reinforcement learning.

Covers zero-sum games, focusing on Nash equilibria, security strategies, and their applications in various scenarios.

Covers the basics of static games and introduces key game theory concepts, including the Prisoner's Dilemma and Nash Equilibrium.

Explores game theory, decision-making in interdependent environments, equilibrium concepts, and economic applications in management.

Covers potential games, best response dynamics, and the convergence to Nash equilibria.