Other Equilibrium Notions

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Other Equilibrium Notions Ichiro Obara UCLA January 21, 2012 Obara (UCLA) Other Equilibrium Notions January 21, 2012 1 / 28

Trembling Hand Perfect Equilibrium Trembling Hand Perfect Equilibrium We may want to claim that (B, B) is not a reasonable NE in the following game. A A 1, 1 B 0, 0 B 0, 0 0, 0 One reason would be that people make mistakes. Obara (UCLA) Other Equilibrium Notions January 21, 2012 2 / 28

Trembling Hand Perfect Equilibrium Trembling Hand Perfect Equilibrium The following equilibrium notion captures such an idea. Trembling Hand Perfect Equilibrium α i (A i) of a finite strategic game is a trembling hand perfect equilibrium if there exists a sequence of completely mixed strategies α k that converges to α such that α i is a best response to α k i for every k for every i N. Every trembling hand perfect equilibrium is a MSNE with no weakly dominated strategy. The converse is true for two player games. So THPE is a refinement of NE. Obara (UCLA) Other Equilibrium Notions January 21, 2012 3 / 28

Trembling Hand Perfect Equilibrium Theorem For any finite strategic game, there exists a trembling hand perfect equilibrium. Proof. Let α ɛ be a mixed strategy profile such that α ɛ i is a best response to α ɛ i subjective to the constraint that every action is played with at least probability ɛ. Such a mixed strategy profile exists by Nash equilibrium existence theorem. Consider a sequence of α ɛ k that α ɛ k α for some α. such that ɛ k 0. Take a subsequence so There exists k such that α i every i N (verify this). is a best response for every k k for Obara (UCLA) Other Equilibrium Notions January 21, 2012 4 / 28

Correlated Equilibrium Correlated Equilibrium Suppose that players observe a private signal before they play a strategic game (remember some interpretations of mixed strategies). Each player plays an optimal action given her private signal. What role would such private signals play? Obara (UCLA) Other Equilibrium Notions January 21, 2012 5 / 28

Correlated Equilibrium A B A (3,3) (1,4) B (4, 1) (0,-0) There are two pure strategy NE: (A,B), (B,A) and one mixed strategy symmetric NE: (0.5, 0.5). Obara (UCLA) Other Equilibrium Notions January 21, 2012 6 / 28

Correlated Equilibrium Suppose that a public signal x and y is observed with equal probability. It is possible for players to coordinate and play (A, B) given x and (B, A) given y. Then (A, B), (B, A) is played with probability 1/2. Suppose that there are three states {x, y, z}, each of which realizes with probability 1/3. Player 1 can only observe whether x is realized or not. Player 2 can only observe whether z is realized or not. The following strategies are mutually best response: player 1 plays B if and only if x is observed and player 2 plays B if and only if z is observed. Then (A, A), (A, B), (B, A) is played with probability 1/3. These outcome distributions cannot be achieved by any NE. Obara (UCLA) Other Equilibrium Notions January 21, 2012 7 / 28

Correlated Equilibrium Now we introduce the formal definition of correlated equilibrium. Information structure consists of Ω: a finite set of states (ex. Ω = {x, y, z}) Pi : player i s information partition (ex. P 1 = {{x}, {y, z}}) Player i s strategy is a mapping s i : Ω A i that is adapted to P i (i.e. s i (ω) = s i (ω ) for any ω and ω in the same element of P i.). Let S i be the set of all such strategies adapted to P i. Obara (UCLA) Other Equilibrium Notions January 21, 2012 8 / 28

Correlated Equilibrium Then a correlated equilibrium is simply a Nash equilibrium with respect to these adapted strategies. Correlated Equilibrium (Ω, π, (P i ), (S i )) is a correlated equilibrium for strategic game (N, (A i ), (u i )) if π(ω)u i (s i (ω), s i (ω)) π(ω)u i (τ i (ω), s i (ω)) ω Ω ω Ω for every τ i S i for every i N. Obara (UCLA) Other Equilibrium Notions January 21, 2012 9 / 28

Correlated Equilibrium Upon some reflection, it is easy to see that the set of states can be A without loss of generality. An interpretation is that player i s information is a recommendation of a particular action. Then we can show the following (this could be an alternative definition of correlated equilibrium). Correlated Equilibrium A distribution of action profile σ (A) can be generated by a correlated equilibrium if σ(a i, a i )u i (a i, a i ) a i A i is satisfied for every a i, a i A i and for any i N. a i A i σ(a i, a i )u i (a i, a i ) Obara (UCLA) Other Equilibrium Notions January 21, 2012 10 / 28

Correlated Equilibrium Comments: In this formulation, it is easy to see that Every mixed strategy Nash equilibrium is a correlated equilibrium. A convex combination of correlated equilibrium is a correlated equilibrium. In fact, the set of correlated equilibrium distributions is a set of solutions for some system of linear inequalities, which is much easier to solve than finding a fixed point (i.e. NE). Obara (UCLA) Other Equilibrium Notions January 21, 2012 11 / 28

Evolutionary Stable Strategy Game Theory in Biology Game theory is used in many disciplines. Here we take a look at the most prominent application in biology. The influence is not one-way. A biological view on games enriched the game theory. Here we emphasize ESS as a refinement of Nash equilibrium for symmetric games. the population interpretation of MSNE: mixed strategy as co-existence. Obara (UCLA) Other Equilibrium Notions January 21, 2012 12 / 28

Evolutionary Stable Strategy Hawk-Dove Game Consider the following situation. There are many birds of the same type. Each bird is randomly paired with another bird and play the following two-by-two game. Each bird can take one of the two strategies: Hawk and Dove. Given (H, D) or (D, H), the bird that chose H takes all the resource (= V ) and the bird that chose D gets nothing (= 0). Given (D, D), each gets a half of the pie (= V /2). Given (H, H), each bird wins or loses the battle with equal probability. The winning bird gets the whole pie and the losing bird suffers cost C > V. Obara (UCLA) Other Equilibrium Notions January 21, 2012 13 / 28

Evolutionary Stable Strategy Hawk-Dove Game Each bird s expected payoff is as follows. Hawk Dove Hawk (V-C)/2, (V-C)/2 V, 0 Dove 0, V V/2, V/2 If this game is played many, many times with different partners, then these payoffs are (almost) the actual average payoff by the law of large numbers. Obara (UCLA) Other Equilibrium Notions January 21, 2012 14 / 28

Evolutionary Stable Strategy Hawk-Dove Game There are three Nash equilibria in this game: two asymmetric pure NE (H, D), (D, H), and a symmetric mixed strategy NE (V /C, 1 V /C). Birds do not know which role they are playing, so the equilibrium must be a symmetric one. One interpretation of this mixed NE: V /C and 1 V /C are the proportion of birds that play H and D respectively. This symmetric NE satisfies some nice stability property. It is resistant to any mutation in the population. If more birds take H, then D becomes the optimal choice. If more birds take D, then H becomes the optimal choice. Obara (UCLA) Other Equilibrium Notions January 21, 2012 15 / 28

Evolutionary Stable Strategy Symmetric Population Game (A, u) consists of a finite action set A a payoff function u : A A R Let u(a, α) = a A α(a )u(a, a ) where a is own action and α (A) is the distribution of actions. Interpretation Each player matches randomly with a different player in the population and play a symmetric 2 2 game ({1, 2}, (A, A), (u i )), where u 1 (x, y) = u(x, y) and u 2 (x, y) = u(y, x). Obara (UCLA) Other Equilibrium Notions January 21, 2012 16 / 28

Evolutionary Stable Strategy ESS Evolutionary Stable Strategy (ESS) is a strategy that is stable. The basic idea of ESS is the following. It must be a symmetric NE. When some mutants appear in the population, ESS must perform better than mutants. Obara (UCLA) Other Equilibrium Notions January 21, 2012 17 / 28

Evolutionary Stable Strategy Definition of ESS Formal definition of ESS Evolutionary Stable Strategy (Maynard Smith and Price (1973)) α (A) is Evolutionary Stable Strategy (ESS) if for any τ (A), one of the following conditions hold 1 u(α, α ) > u(τ, α ) 2 u(α, α ) = u(τ, α ) and u(α, τ) > u(τ, τ). Obara (UCLA) Other Equilibrium Notions January 21, 2012 18 / 28

Evolutionary Stable Strategy Comment. The following formulation is equivalent to this definition: α (A) is ESS if for any τ (A), there exists ɛ such that u(α, (1 ɛ)α + ɛτ) > u(τ, (1 ɛ)α + ɛτ) for any ɛ (0, ɛ). In words: if α is played by the population, then any small number of mutants who play τ (A) does worse than α. Obara (UCLA) Other Equilibrium Notions January 21, 2012 19 / 28

Evolutionary Stable Strategy Interpretation of ESS Here is one biological interpretation for ESS. Each strategy such as α is genetically programmed and inherited from a generation to the next generation (Different individuals with the same mixed strategy α may behave differently ex post by choosing different pure strategies). A higher payoff = higher fitness more offsprings. If α is an ESS, any small mutation would die out after a few generations. Obara (UCLA) Other Equilibrium Notions January 21, 2012 20 / 28

Evolutionary Stable Strategy ESS as a refinement of NE It is clear from the definition that u(α, α ) u(τ, α ) for any τ. So ESS is a symmetric NE. Consider the following game: A A 2, 2 B 0, 0 B 0, 0 1, 1 There are three symmetric NE. (A, A) and (B, B) are strict NE, hence ESS. But the MSNE (1/3, 2/3) is not. Obara (UCLA) Other Equilibrium Notions January 21, 2012 21 / 28

Evolutionary Stable Strategy It can be shown that there always exists an ESS for any two-by-two symmetric game. ESS may not exist with more than two actions. A B C A g,g 1,-1-1,1 B -1,1 g,g 1,-1 C 1,-1-1,1 g,g 0<g <1 (1/3, 1/3, 1/3) is the unique symmetric MSNE, but it can be invaded by any of A,B,C. Obara (UCLA) Other Equilibrium Notions January 21, 2012 22 / 28

Quantal Response Equilibrium Asymmetric Matching Penny Experiments Consider the following asymmetric MP game. H T H 1, -1-3, 1 T -1, 1 1, -1 We know that player 1 s equilibrium strategy must be (0.5, 0.5), but player 1 plays H more than T in experiments. Maybe people choose nonoptimal strategy with positive probability for whatever reason? Obara (UCLA) Other Equilibrium Notions January 21, 2012 23 / 28

Quantal Response Equilibrium Quantal Response Equilibrium Consider a finite strategic game. Let u i (a i, α i ) be player i s expected payoff when player i chooses a i and player j plays a mixed strategy α j. Let s assume that player i plays the following mixed strategy α i instead of the best response strategy against α i. α i (a i ) = exp(λu i (a i, α i )) exp(λu i (a i, α i)) a i A i Obara (UCLA) Other Equilibrium Notions January 21, 2012 24 / 28

Quantal Response Equilibrium Quantal Response Equilibrium This defines a parametric family of noisy best response strategy BR λ i (α i ) (A i ) such that Every strategy is played with positive probability. A strategy with a larger expected payoff is played more often. This strategy is totally random when λ = 0. It converges to a best response strategy as λ. This can be interpreted as (1) short-run nonoptimal behavior (incomplete learning) or (2) an optimal strategy with private payoff shocks. Obara (UCLA) Other Equilibrium Notions January 21, 2012 25 / 28

Quantal Response Equilibrium Quantal Response Equilibrium Quantal Response Equilibrium is defined as a fixed point of these noisy best response mappings. Quantal Response Equilibrium α i (A i ), i N is a Quantal Response Equilibrium with parameter λ R + if it satisfies αi = BRi λ (α i ) for all i N. There exists a QRE by Brouwer s fixed point theorem. Obara (UCLA) Other Equilibrium Notions January 21, 2012 26 / 28

Quantal Response Equilibrium Quantal Response Equilibrium These are the original best responses for Asymmetric Matching Penny. a2(h) 1 2/3 0.5 0.5 1 a1(h) Obara (UCLA) Other Equilibrium Notions January 21, 2012 27 / 28

Quantal Response Equilibrium Quantal Response Equilibrium These are the noisy best responses given some λ > 0. a2(h) 1 2/3 0.5 QRE NE 0.5 1 a1(h) Obara (UCLA) Other Equilibrium Notions January 21, 2012 28 / 28