The Evolutionary Dominance of Ethnocentric Cooperation
Max Hartshorn (),
Artem Kaznatcheev () and
Thomas Shultz ()
Additional contact information
Artem Kaznatcheev: http://www.cs.mcgill.ca/~akazna/
Thomas Shultz: http://www.tomshultz.net/
Journal of Artificial Societies and Social Simulation, 2013, vol. 16, issue 3, 7
Abstract:
Recent agent-based computer simulations suggest that ethnocentrism, often thought to rely on complex social cognition and learning, may have arisen through biological evolution. From a random start, ethnocentric strategies dominate other possible strategies (selfish, traitorous, and humanitarian) based on cooperation or non-cooperation with in-group and out-group agents. Here we show that ethnocentrism eventually overcomes its closest competitor, humanitarianism, by exploiting humanitarian cooperation across group boundaries as world population saturates. Selfish and traitorous strategies are self-limiting because such agents do not cooperate with agents sharing the same genes. Traitorous strategies fare even worse than selfish ones because traitors are exploited by ethnocentrics across group boundaries in the same manner as humanitarians are, via unreciprocated cooperation. By tracking evolution across time, we find individual differences between evolving worlds in terms of early humanitarian competition with ethnocentrism, including early stages of humanitarian dominance. Our evidence indicates that such variation, in terms of differences between humanitarian and ethnocentric agents, is normally distributed and due to early, rather than later, stochastic differences in immigrant strategies.
Keywords: Ethnocentrism; Evolution of Cooperation; Evolutionary Game Theory; Minimal Cognition; Prisoner's Dilemma (search for similar items in EconPapers)
Date: 2013-06-30
References: Add references at CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
https://www.jasss.org/16/3/7/7.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2012-37-2
Access Statistics for this article
More articles in Journal of Artificial Societies and Social Simulation from Journal of Artificial Societies and Social Simulation
Bibliographic data for series maintained by Francesco Renzini ().