Game theory is a field of applied mathematics that describes and analyzes interactive decision making when two or more parties are involved. Since finding a firm mathematical footing in 1928, it has been applied to many fields, including economics, political science, foreign policy, and engineering. This course will serve both as an introduction to and a survey of applications of game theory. Therefore, after covering the mathematical foundational work with some measure of mathematical rigor, we will examine many real-world situations, both historical and current. Topics include two-person/N-person game, cooperative/non-cooperative game, static/dynamic game, combinatorial/strategic/coalitional game, and their respective examples and applications. Further attention will be given to the meaning and the computational complexity of finding of Nash equilibrium.Prerequisite(s): Multivariate calculus, linear algebra and matrix theory (e.g., 625.609 Matrix Theory), and a course in probability and statistics (such as 625.603 Statistical Methods and Data Analysis). Course Note(s): This course is the same as 625.741 Game Theory.
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