Popularized by movies such as "A Beautiful Mind," game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Beyond what we call `games' in common language, such as chess, poker, soccer, etc., it includes the modeling of conflict among nations, political campaigns, competition among firms, and trading behavior in markets such as the NYSE. How could you begin to model keyword auctions, and peer to peer file-sharing networks, without accounting for the incentives of the people using them? The course will provide the basics: representing games and strategies, the extensive form (which computer scientists call game trees), Bayesian games (modeling things like auctions), repeated and stochastic games, and more. We'll include a variety of examples including classic games and a few applications.
提供：
ゲーム理論
スタンフォード大学（Stanford University）このコースについて
習得するスキル
- Game Theory
- Backward Induction
- Bayesian Game
- Problem Solving
提供：
スタンフォード大学（Stanford University）
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
ブリティッシュコロンビア大学（The University of British Columbia）
The University of British Columbia is a global centre for research and teaching.
シラバス - 本コースの学習内容
Week 1: Introduction and Overview
Introduction, overview, uses of game theory, some applications and examples, and formal definitions of: the normal form, payoffs, strategies, pure strategy Nash equilibrium, dominant strategies
Week 2: Mixed-Strategy Nash Equilibrium
pure and mixed strategy Nash equilibria
Week 3: Alternate Solution Concepts
Iterative removal of strictly dominated strategies, minimax strategies and the minimax theorem for zero-sum game, correlated equilibria
Week 4: Extensive-Form Games
Perfect information games: trees, players assigned to nodes, payoffs, backward Induction, subgame perfect equilibrium, introduction to imperfect-information games, mixed versus behavioral strategies.
レビュー
- 5 stars71.36%
- 4 stars22.48%
- 3 stars3.96%
- 2 stars1.10%
- 1 star1.08%
ゲーム理論 からの人気レビュー
Few of the topics lack enough explanation to solve the assignments. But the discussion forums were really helpful with the mentors clarifying a lot of doubts. Overall enjoyed the course!
Great ! Interesting and abound at the same time. Hope Professors will clarify the strategic utility function more clearly because it's hard for students with poor math basic(forget most><) right now!
Exceptionally very good course - Must for anyone who is doing research on Control systems using game theory !!! Kudos to all the three professors !!! Will definitely do Game Theory 2 !!!
First of all ,I would like to thank coursera for providing us such a wonderful platform. Learning with coursera was a great experience and and I really loved Learning game theory.
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