Open Access Te Herenga Waka-Victoria University of Wellington
Browse

Selfish risk-seeking can provide an evolutionary advantage in a conditional public goods game

Download (1.93 MB)
journal contribution
posted on 2022-01-23, 23:26 authored by Martina Testori, Hedwig EisenbarthHedwig Eisenbarth, Rebecca B Hoyle
While cooperation and risk aversion are considered to be evolutionarily advantageous in many circumstances, and selfish or risky behaviour can bring negative consequences for individuals and the community at large, selfish and risk-seeking behaviour is still often observed in human societies. In this paper we consider whether there are environmental and social conditions that favour selfish risk-seeking individuals within a community and whether tolerating such individuals may provide benefits to the community itself in some circumstances. We built an agent-based model including two types of agent—selfish risk-seeking and generous risk-averse—that harvest resources from the environment and share them (or not) with their community. We found that selfish risk-seekers can outperform generous risk-averse agents in conditions where their survival is moderately challenged, supporting the theory that selfish and risk-seeking traits combined are not dysfunctional but rather can be evolutionarily advantageous for agents. The benefit for communities is less clear, but when generous agents are unconditionally cooperative communities with a greater proportion of selfish risk-seeking agents grow to a larger population size suggesting some advantage to the community overall.

History

Preferred citation

Testori, M., Eisenbarth, H. & Hoyle, R. B. (n.d.). Selfish risk-seeking can provide an evolutionary advantage in a conditional public goods game. PLOS ONE, 17(1), e0261340-e0261340. https://doi.org/10.1371/journal.pone.0261340

Journal title

PLOS ONE

Volume

17

Issue

1

Pagination

e0261340-e0261340

Publisher

Public Library of Science (PLoS)

Publication status

Published online

Online publication date

2022-01-21

eISSN

1932-6203

Language

en

Usage metrics

    Journal articles

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC