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1. Social Behavior & Game Theory Social Behavior:
Define by Economic Interaction
Individuals Affect Each Other’s Fitness,
Predict by Modeling Fitness Currency
Interactions Competitive Game Theory, ESS
2. Social Behavior & Game Theory Example: Hawk-Dove Game
Evolution of Diversity in Aggressive Behavior
Common Strategy, Rare Mutant (Invade?)
Pure ESS, Mixed ESS
3. Social Behavior & Game Theory Suppose 2 Randomly Selected
Individuals Encounter a Resource Item
Resource Benefits Survival or Reproduction
Potential Mate, Food, …
How Will They Interact?
4. Hawk-Dove Game Hawk:
Always Fights for Resource
Chance for Benefit
May Lose, May Be Injured
Cost of Aggression
5. Hawk-Dove Game Dove:
Never Fights for Resource
Withdraws from Hawk
Divides Resource with Dove
No Cost of Aggression
6. Hawk-Dove Game Among-Species Diversity in Aggression
Within-Species Diversity in Aggression
Why?
Functional Significance
When is Aggression Adaptive?
7. Hawk-Dove Game Basic Model: Action Set = {Hawk, Dove}
Payoffs: Benefit of resource > 0,
Cost of aggression > 0
“Alleles” H, D
p = Freq(H), 1- p = Freq(D)
8. Hawk-Dove Game
9. Hawk-Dove Game Suppose Hawk Common:
Evolutionarily Stable?
E(H, H) > E(D,H) ? ESS p* = 1
E(H, H) > E(D,H) ? (B/2) – C > 0
Cost Aggression < Benefit/2, Pure Hawk is ESS
10. Hawk-Dove Game Suppose Dove Common:
Evolutionarily Stable?
E(D,D) > E(H,D) ? ESS p* = 0
E(D,D) > E(H,D) ? (B/2) > B Impossible
Pure Dove, p* = 0, Never ESS
11. Hawk-Dove Game Suppose C > B/2
E(H,H) < E(D,H) and Dove invades Hawk
Know B > B/2 so Hawk Invades Dove
Mixed ESS, 0 < p* < 1
ESS: Nash Solution with Equal Payoffs
12. Hawk-Dove Game Payoff to H = p E(H,H) + (1 - p) E(H,D)
p[(B/2) – C] + (1 – p) B
Payoff to D = p E(D,H) + (1 – p) E(D,D)
p(0) + (1 – p) B/2
13. Hawk-Dove Mixed ESS p[(B/2) – C] + (1 – p) B = p(0) + (1 – p) B/2
p B + B/2 – p (B + C) = 0
p* = B/2C when C > B/2
14. Mixed ESS Behavioral Diversity: 2 Variants
1. Between-Phenotype Variation
p* Hawks, (1 – p*) Doves
2. Within-Phenotype Variation
Each Individual Has Same Mixed Strategy
Play H with Probability = p*