Survivor's dilemma: The evolution of cooperation in volatile environments.

Density-dependent cooperation Evolutionarily stable strategies Evolutionary game theory Prisoner’s dilemma

Journal

Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342

Informations de publication

Date de publication:
07 05 2021
Historique:
received: 10 08 2020
revised: 02 12 2020
accepted: 21 01 2021
pubmed: 29 1 2021
medline: 6 7 2021
entrez: 28 1 2021
Statut: ppublish

Résumé

The volatility of an environment significantly impacts cooperative behavior. In environments where viability-threatening events occur on a shorter timescale than reproduction, it is reasonable to measure the costs and benefits of cooperation in terms of their direct effect on survival probability. Then, the number of offspring increases with lifespan. With such a model, is it possible for cooperation to be evolutionarily stable, and how does cooperation depend on the benefit and cost of such interactions, and the volatility of the environment? In this paper, we develop an N-player survivor's dilemma in which prisoner's dilemma payoffs in an iteration are survival rates, and expected lifespan is the measure of reproductive fitness. We investigate cost, benefit, and volatility parameter ranges where various cooperative behaviors may occur. We observe that free-riding results in indirect punishment as the cheated partner's early death leaves the defector vulnerable. For 2- and 3-player versions of the game, we identify parameter regions where the repeated game becomes equivalent to a Harmony, Stag Hunt, or Prisoner's Dilemma static game and discuss evolutionary stability. We find that with two individuals, the initial fraction of cooperators necessary for cooperation to be selected for decreases as the benefit to cost ratio increases and as environmental volatility decreases. With the presence of a third individual, there also exists a parameter region where cooperation can invade an initially all-defecting population.

Identifiants

pubmed: 33508324
pii: S0022-5193(21)00025-4
doi: 10.1016/j.jtbi.2021.110603
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110603

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Kirk Kayser (K)

Department of Mathematics and Actuarial Science, Otterbein University, Westerville, OH 43081, USA.

Adam Lampert (A)

School of Human Evolution and Social Change, Arizona State University, Tempe, AZ 85287, USA; Simon A. Levin Mathematical, Computational and Modeling Science Center, Arizona State University, Tempe, AZ 85287, USA.

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