Introduction to Game Theory in Artificial Intelligence - Lecture 8

Learn game theory fundamentals in this university lecture covering essential concepts through interactive examples and real-world applications. Explore strategic decision-making through various games including the classic Prisoner's Dilemma and Split or Steal gameshow scenarios. Master key concepts like payoff matrices, strategy domination, and Nash Equilibrium while analyzing practical examples such as the Numbers Game, Grades Game, and Investment Game. Delve into the mathematical foundations of game theory, understand outcome matrices, and learn how to identify optimal strategies in both symmetric and non-symmetric game scenarios. Part of Memorial University's Computer Science AI course series, the lecture provides comprehensive coverage from basic principles to advanced applications, concluding with practical exam preparation guidance.