This course is an introduction to game theory and strategic thinking. Ideas such as dominance, backward induction, Nash equilibrium, evolutionary stability, commitment, credibility, asymmetric information, adverse selection, and signaling are discussed and applied to games played in class and to examples drawn from economics, politics, the movies, and elsewhere.
Introduction to the Course
Introduction to Game Theory
Understanding More about Games
Dominant Strategies and Pareto Optimallity
Mixed Strategies and Nash Equilibrium: A High-Level Taste
Beyond 2X2 Games
Mixed Nash Equilibrium in Real World
Extensive From Games
We believe everybody should look into this course as Game Theory helps you predict the outcome of situations by identifying actions you should always take or actions you should never take. This course will let you analyse a number of different strategic environments.
Irrespective of the field you choose, building algorithms takes strategy and the understanding of optimisation and their working in real-time. Game Theory will help you do just that, you’ll get a better understanding of building algorithms and the strategies behind them.
Depends on how you want to learn it. If you are keen on the theory behind all the games, you’d need to use a fair amount of math ( set theory, topology, linear algebra etc. ). However, if you are only interested in intuition, then you can still understand and even solve games of various types
Risk analysis makes use of Game Theory in determining optimal price strategy, expected market shares, expected income and number of customers, while obtaining information about the company, the market, the competitors, and the technologies in use, among others.