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Explore game theory fundamentals and Nash equilibrium concepts in this artificial intelligence lecture from Memorial University's Computer Science program. Learn algorithmic techniques for analyzing strategic interactions between rational decision-makers, understand how to identify Nash equilibria in various game scenarios, and discover how these mathematical frameworks apply to AI problem-solving environments. Examine the intersection of game theory with artificial intelligence applications, including multi-agent systems and competitive scenarios where optimal strategies must account for other players' rational behavior.
