Game Theory is a powerful method to make predictive decisions about common business cases and acts as a foundational course to decision making in AI systems, such as Bayesian techniques and game trees and Monte Carlo Tree Search. As such the purpose of this course is to provide a solid foundation on the basic structures of mathematical games including the canonical 2 by 2 structures of the Prisoners Dilemma, Chicken, Hawk and Dove, and Battle of the Sexes. Then looks at more complicated business examples such as price setting, making credible threats and promises. It also gives practical instruction on the application of computers in game playing, especially tournament play and the development of decision-making models.
- Teacher: Manuel Alejandro Rodriguez Osuna
- Teacher: Nikita Богомазов
- Teacher: Джозеф Александер Браун
- Teacher: Мунир Махмутов