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Social Behavior: Evolutionary Game Theory. Matrix (Discrete) Games General Rules for Solving Example: Hawk-Dove Game Hypothesis : Fitness Increases with Payoff Evolutionarily Stable Strategy ( ESS ). Game Theory. Economic Interaction 2 or More (N) “Players”
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Social Behavior: Evolutionary Game Theory Matrix (Discrete) Games General Rules for Solving Example: Hawk-Dove Game Hypothesis: Fitness Increases with Payoff Evolutionarily Stable Strategy (ESS)
Game Theory Economic Interaction 2 or More (N) “Players” Each Has Behavioral Strategy: Phenotype Social: Assume Each Player’s Behavior Affects Own and Other Player’s Fitness
Game Theory Model for Competition, Mutualism, Reciprocity, Cooperation Single “Round,” Repeated Play ESS:Evolutionarily Stable Strategy If Common, Repels All Rare Mutants (Other Strategies)
ESS Theory Population Behavior = Allele A Common, B Rare Can B Invade A? If Not, A is an ESS
ESS Theory: Monomorphic A Common, B Rare B Does Not Invade A Pure A: Evolutionarily Stable (Against B) Monomorphism: No Diversity at Equilibrium
ESS Theory: Monomorphic A Common, B Rare BInvades and ExcludesA A Does Not Advance When Rare Pure B is an ESS
ESS Theory: Polymorphic A Common, B Rare B Invades; A Persists Equilibrium System Mixed ESS Polymorphism Individuals Mix Behavioral Diversity Stable
ESS Theory: 2 Players Payoff Matrix Payoff to Player Controlling Rows Discrete Game, Identical Players (Symmetric)
Payoff Matrix: Symmetric Game 2 Behaviors (A and B) Individuals Interact as Random Pairs
Finding ESS Payoffs: Frequency-dependent p Frequency of A; 0 p 1 (1 – p) Frequency of B Payoffs EA, EB functions of p
Frequency Dependence Play A or Play B EA = p E(A,A) + (1 - p) E(A,B) EB = p E(B,A) + (1 - p) E(B,A) Linear in frequency of A
Frequency Dependence EA = p (4) + (1 - p) 3 EB = p (2) + (1 - p) 1 Plot; A Always Better Choice
Frequency-Dependence Mixed ESS; Bistable ESS