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Phenotypic Gambit Predict Focal Individual’s Behavior:

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Presentation on theme: "Phenotypic Gambit Predict Focal Individual’s Behavior:"— Presentation transcript:

1 Phenotypic Gambit Predict Focal Individual’s Behavior:
Does Behavior of Other Individual (s) Matter? NO: “Standard Optimization;” Find Maximal Currency of Fitness YES: Game Theory; Social Interaction Find Evolutionary Stable Strategy

2 Individual Behavior Crows Feeding on Whelks: references
R. Zach (1978) Selection and dropping of whelks by Northwestern crows, Behaviour, 67, R. Zach (1979) Shell dropping: Decision-Making and optimal foraging in Northwestern crows, Behaviour, 68, 106 – 117

3 Crows Feeding on Whelks
Northwestern crow (Corvus caurinus) Whelk (Thais lamellosa) Mollusc Search intertidal zone Fly to rocks, Drop prey Repeat, Shell breaks

4 Crows Feeding on Whelks
Crows choose larger prey ~ Uniform size At rocks, Fly straight up, Drop whelk (Re-drop) Optimal foragers? “Optimize” H, height?

5 Crows Feeding on Whelks
Number of drops versus height H Constraint on problem Large prey break easier Kinetic Energy: 𝐾= 𝑚𝑎𝑠𝑠 𝑣𝑒𝑙𝑜𝑐𝑖𝑡𝑦 2

6 Outline Model Hypothesis: Selection favors dropping whelk
from height minimizing energetic cost to forager Individual Behavior: No Social Interaction Translate Height [H] into currency of fitness [Cost] Find H* where Cost minimal

7 Model: E = kHN E: Energy cost (Currency) H: Drop height (Decision)
N(H): No. drops k > 0 constant Objective Function a = 15.9; b = 1.2

8 Deduce Prediction Derivative dE/dH = 0 H* = 5.6 m Minimizes cost

9 Prediction H = 5.6 m Mean close to H* Some variation How? Not issue
Learned? Issue: Gain some understanding of energy efficiency?


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