Dynamic games involve players taking turns, with decisions affecting subsequent actions and rewards.Players in dynamic games follow a specific order in decision-making, creating tree-like representations of possible outcomes.Analyzing Nash equilibria in dynamic games involves transforming decision trees into matrices to find optimal strategies.Subgame perfect equilibria impose stricter conditions on Nash equilibria, ensuring consistency in all possible subgames.Backwards induction is a method used to find subgame perfect equilibria by analyzing each subgame sequentially.Uncertainty in games, such as hidden information or unknown opponent strategies, adds complexity to decision-making.Calculating probabilities in uncertain situations helps determine optimal strategies under varying assumptions.Game theory extends to real-world scenarios like auctions, social networks, markets, and voting behavior.Understanding game theory concepts can be applied to practical situations for analysis and decision-making.Game theory offers a valuable perspective for interpreting interactions and strategies in various domains of life.