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
Link To Document :
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