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MIT Electrical Engineering and Computer Science
Fall 2002 Catalogue Supplement |
MW 2:30-4, 34-301
Prof. Sanjoy Mitter, Room 35-403, 3-2160
Prereq.: knowledge of linear algrebra analysis and probability
3-0-9
Topic: Theory of Games and Statistical Decisions
Game Theory plays an important role in current research in Systems and Control, Communications, Computer Science (including Artificial Intelligence) and Economics. Fundamentally, Game Theory provides a systematic approach to Decision Making under Uncertainty. This seminar course provides and introduction to this subject and illustrates the theory with applications in various fields.
Summary of Contents:
Zero-sum Two person games
VonNeumann Min-Max Theorem and its generalizations
Relationship to Mathematical Programming Duality and
Economic Interpretations
Nash Equilibrium Theory
The notion of Core and its role in Game Theory and Economics Games with Incomplete Information
Statistical Decision Theory and its connections to Game Theory (Work of Blackwell, LeCam and others)
Applications in Information Theory
Evolutionary Games with applications in Control and Economics
Introduction to Differential Games
Inverse Game Theory
Prerequisites: Good knowledge of Linear Algebra Analysis (18.100) and Probability Theory