Agenda

14 Set 2022 12:15

M. Alperen Yasar - The Evolution of Miscategorization in Asymmetric Hawk-Dove Games

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M. Alperen Yasar The Evolution of Miscategorization in Asymmetric Hawk-Dove Games

Abstract
This paper uses an agent-based model to investigate the evolution of miscategorizations in a series of asymmetric hawk-dove games played by birds. There are two colors; red and blue. Red agents are stronger than blue agents on average. Each color has two shades that are void of effect. An agent can be; (1) color-blind, not seeing either the colors or shades  (a coarse categorizer); (2) regular, seeing only colors; or (3) a fine categorizer, seeing both colors and shades. Our results show that miscategorization can be more efficient than accurate specification, depending on how costly fighting is. We observe that category-blindness provides an evolutionary advantage when the cost of fighting is high, because it allows agents to be peaceful earlier than others. A fine categorizer gains an advantage when the cost of fighting is low, thanks to the exploratory effect of having more categories. Finally, we see that a shade is eliminated by another shade of the same color when fine-categorizing birds dominate the simulation, even though there is no difference between shades.

The seminar can be attended also remotely, connecting to ZOOM: bit.ly/Internalseminar_yasar 
Meeting ID: 883 1809 9373

Lingua

L'evento si terrà in inglese

Organizzatore

Dipartimento di Economia (InSeminars)

Link

https://bit.ly/Internalseminar_yasar

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