Published October 2021 | Version v1
Journal article

Evolutionary dynamics of cooperation in the N-person stag hunt game

  • 1. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, 611731 (China)

Description

Highlights: • An N-person stag hunt game is proposed based on the two-person stag hunt game. • The dynamical equation for the proposed game in structured populations is obtained. • The characteristics of cooperative dynamics in the proposed game are unveiled. In this paper, we consider the N-person stag hunt game based on the two-person stag hunt game and assume that the payoff of successful stag hunters is larger than that of hare hunters, which is an important feature of the game, but is often ignored in previous works. We first study the evolutionary dynamics of cooperation for the game in infinite well-mixed populations by using the replicator equation, and find that there always exists only one interior equilibrium which is unstable. We then investigate the game in finite well-mixed populations by applying the Markov process, and observe that the equation of gradient of selection always has a unique interior root, which is consistent with the finding in infinite populations. We finally consider the game in structured populations by means of the pair approximation approach. We accordingly obtain the dynamical equation for weak selection to depict the evolutionary dynamics of cooperation in structured populations, and find that there still exists the case in which there is only one interior unstable equilibrium. Our work unveils the universal characteristics of cooperative dynamics in different scenarios for the N-person stag hunt game.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.physd.2021.132943

Additional details

Identifiers

DOI
10.1016/j.physd.2021.132943;
PII
S0167278921001019;

Publishing Information

Journal Title
Physica D
Journal Volume
424
Journal Page Range
vp.
ISSN
0167-2789
CODEN
PDNPDT

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54082887
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
EQUATIONS; EQUILIBRIUM; MARKOV PROCESS
Descriptors DEC
STOCHASTIC PROCESSES

Optional Information

Copyright
Copyright (c) 2021 Elsevier B.V. All rights reserved.