Correlated equilibrium
From Wikipedia, the free encyclopedia
| Correlated equilibrium | |
|---|---|
| A solution concept in game theory | |
| Relationships | |
| Superset of: | Nash equilibrium |
| Significance | |
| Proposed by: | Robert Aumann |
| Example: | Chicken |
In game theory, a correlated equilibrium is a solution concept that is more general than the well known Nash equilibrium. It was first discussed by mathematician Robert Aumann (1974). The idea is that a strategy profile is chosen at random according to some distribution. If no player would want to deviate from the recommended strategy (assuming the others don't deviate), the distribution is called a correlated equilibrium.
[edit] An example
| D | C | |
|---|---|---|
| D | 0, 0 | 7, 2 |
| C | 2, 7 | 6, 6 |
Consider the game of chicken (pictured to the right). In this game two individuals are challenging each other to a contest where each can either dare or chicken out. If one is going to Dare, it is better for the other to chicken out. But if one is going to chicken out it is better for the other to Dare. This leads to an interesting situation where each wants to dare, but only if the other might chicken out.
In this game, there are three Nash equilibria. The two pure strategy Nash equilibria are (D, C) and (C, D). There is also a mixed strategy equilibrium where each player Dares with probability 1/3.
Now consider a third party (or some natural event) that draws one of three cards labeled: (C, C), (D, C), and (C, D). After drawing the card the third party informs the players of the strategy assigned to them on the card (but not the strategy assigned to their opponent). Suppose a player is assigned D, he would not want to deviate supposing the other player played their assigned strategy since he will get 7 (the highest payoff possible). Suppose a player is assigned C. Then the other player will play C with probability 1/2 and D with probability 1/2. The expected utility of Daring is 0(1/2) + 7(1/2) = 3.5 and the expected utility of chickening out is 2(1/2) + 6(1/2) = 4. So, the player would prefer to Chicken out.
Since neither player has an incentive to deviate, this is a correlated equilibrium. Interestingly, the expected payoff for this equilibrium is 7(1/3) + 2(1/3) + 6(1/3) = 5 which is higher than the expected payoff of the mixed strategy Nash equilibrium.
[edit] Formal definition
A probability distribution, 
is a correlated equilibrium if for all strategies si such that p(si) > 0 and every alternative strategy si'
where 
is i's utility function and S − i is the set of all possible strategies that i's opponents might take.
[edit] References
- Aumann, Robert (1974) Subjectivity and correlation in randomized strategies. Journal of Mathematical Economics 1:67-96.
- Fudenberg, Drew and Jean Tirole (1991) Game Theory, MIT Press, 1991, ISBN 0-262-06141-4
- Tardos, Eva (2004) Class notes from Algorithmic game theory (note an important typo) [1]
| Topics in game theory | |
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Definitions |
Normal form game · Extensive form game · Cooperative game · Information set · Preference |
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Nash equilibrium · Subgame perfection · Bayes-Nash · Trembling hand · Correlated equilibrium · Sequential equilibrium · Quasi-perfect equilibrium · Evolutionarily stable strategy |
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Dominant strategies · Mixed strategy · Grim trigger · Tit for Tat |
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Classes of games |
Symmetric game · Perfect information · Dynamic game · Repeated game · Signaling game · Cheap talk · Zero-sum game · Mechanism design |
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Prisoner's dilemma · Coordination game · Chicken · Battle of the sexes · Stag hunt · Matching pennies · Ultimatum game · Minority game · Rock, Paper, Scissors · Pirate game · Dictator game |
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Theorems |
Minimax theorem · Purification theorems · Folk theorem · Revelation principle |
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Related topics |
Mathematics · Economics · Behavioral economics · Evolutionary game theory · Population genetics · Behavioral ecology · Adaptive dynamics · List of game theorists |
