Select the desired Level or Schedule Type to find available classes for the course. |

MATH 606 - Game Theory |

Description. An advanced introduction to game theory. Game theory is the study of social conflict and cooperation within a competitive situation. Roughly, game theory is the science of strategy, including optimal decision-making, of independent and competing actors in a strategic setting. The key pioneers of game theory were mathematicians John von Neumann and John Nash, as well as economist Oskar Morgenstern. The course will cover topics such as dominance, backward induction, Nash equilibrium, asymmetric information, imperfect information, adverse selection, signaling, and repeated games. Topics will be illustrated through games played in class and computer simulations and applied to examples from economics and politics. Some famous and illuminating games to be considered include prisoner’s dilemma, the Monte Hall problem and the Tragedy of the Commons. Prereqs 501, 502. Text: An Introduction to Game Theory, by Martin J. Osborne, Oxford University Press, 2003, ISBN-10: 0195128958, ISBN-13: 978-0195128956. On reserve: Game Theory for Applied Economists, by Robert Gibbons, Princeton Univ Press, 1992. Restrictions: Must be enrolled in one of the following Levels: MN or MC Graduate Must be enrolled in one of the following Majors: Mathematics and Statistics 3.000 Credit hours 3.000 Lecture hours Levels: MN or MC Graduate Schedule Types: Lecture Mathematics Department Prerequisites: MATH 501 and MATH 502 |

Return to Previous | New Search |