DocumentCode
618166
Title
Evolutionary stability of honest signaling in finite populations
Author
Catteeuw, David ; Manderick, Bernard ; Han, The Anh
Author_Institution
Artificial Intell. Lab., Vrije Univ. Brussel, Brussels, Belgium
fYear
2013
fDate
20-23 June 2013
Firstpage
2864
Lastpage
2870
Abstract
We study honest signaling in the Philip Sidney game. Until now, researchers concentrated on verifying under what circumstances honest signaling is an evolutionarily stable strategy (ESS). Whereas the concept of ESS assumes infinite populations, we analyze here, for the first time, the more realistic scenario where populations are finite-which allows us to study the effect of varying the population size with respect to the viability of honest signaling. We show that honest signaling is much less frequent than previously observed within the infinite population setting. We observe that population size has a similar effect as selection pressure, namely, the larger the population the more important the difference in fitness between the strategies. Our experiments reveal, furthermore, that evolutionary stability is not very predictive for the viability of honest signaling. Most surprisingly, we found cases where honest signaling is the most prevalent strategy but not evolutionarily stable.
Keywords
evolutionary computation; game theory; ESS concept; Philip Sidney game; evolutionarily stable strategy; evolutionary stability; finite population; honest signaling concept; population size; selection pressure; Games; Numerical stability; Receivers; Resistance; Sociology; Stability analysis; Statistics; Evolutionary game theory; Philip Sidney game; finite populations; honest signaling;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location
Cancun
Print_ISBN
978-1-4799-0453-2
Electronic_ISBN
978-1-4799-0452-5
Type
conf
DOI
10.1109/CEC.2013.6557917
Filename
6557917
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