The influence of migration speed on cooperation in spatial games
Authored by Wen-Jing Li, Luo-Luo Jiang, Changgui Gu, Huijie Yang
Date Published: 2017
DOI: 10.1088/1742-5468/aa95fa
Sponsors:
Chinese National Natural Science Foundation
Platforms:
No platforms listed
Model Documentation:
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Model Code URLs:
Model code not found
Abstract
Migration is a common phenomenon in human society which provides a
person an opportunity to search for a new life from one area to another.
In the framework of game theory, people may migrate to escape from a
current adverse environment (evading defection). Since people may
migrate at different speeds, it is interesting to figure out the
influence of migration speed on the evolution of cooperative behavior.
In an attempt to discover the influence, we propose here a model based
on an adaptive migration mechanism. In this model, an individual
migrates or updates his/her strategy asynchronously, which is tuned by
migration frequency. Firstly, it is found that an appropriate migration
speed may evoke an effective mechanism, which enables cooperators
dominate even in highly adverse conditions. Secondly, we check how
migration speed alters the paradigm of cooperation quantitatively in the
conditions of different migration frequency. When migration frequency is
high, cooperation is promoted only at a small migration speed. However,
when migration frequency is low, cooperation is always promoted at any
migration speed. In addition, we also investigated the influence of
temptation to defect on cooperation for the case of different migration
speeds and migration frequencies. Our results may provide a fresh
perspective on the understanding of how human behavior affects
cooperation.
Tags
Agent-based models
Evolution
behavior
network dynamics
Algorithmic game theory