Decision and Game Theory

Aims of the course

no description

Course syllabus

1. Decision Making Under Uncertainty
1.1. Decision Criteria
1.2. Utility Theory
1.3. Decision Trees
1.4. Bayes" Rule
1.5. Decision Making with the Normal Distribution
2. Multiattribute Decison Making
2.1. Multiattribute Decision Making in the Absence of Uncertainty - Goal Programming
2.2. Multiattribute Utility Function
2.3. The Analytic Hierarchy Process
2.4. Pareto Optimality
3. Game Theory
3.1. Two-Person Zero-Sum and Constant-Sum Games
3.2. Two-Person Zero-Sum Games: Randomized Strategies, Domination and Graphical Solution
3.3. Linear Programming and Zero-Sum Games
3.4. Two-Person Non-Constant-Sum Games
3.5. n-Person Games (the Coreof an n-Person Game, the Shapley Value)

Course director(s)