Evolution of cooperation in populations with heterogeneous multiplicative resource dynamics
Journal
arXiv preprint arXiv:1912.09205
Date Issued
2019-12
Author(s)
Stojkoski, Viktor
Karbevski, Marko
Utkovski, Zoran
Kocarev, Ljupcho
Abstract
In the pooling and sharing mechanism of multiplicatively grown individual resources, the evolution of cooperation is uniquely determined by the physical traits of the population. If the entities
in the population exhibit homogeneous traits, cooperation is always favored. However, if there is
heterogeneity within the population, the evolution of cooperation is dependent on both the interaction structure and the decision making rules implemented by the entities. Here, we perform a
detailed analysis on the role of the interaction structures in the evolutionary stability of cooperation
in heterogeneous multiplicative environments. We utilize this analysis to examine the applicability
of a simple state-based decision making rule in a variety of settings. We thereby show that the
introduced rule leads to steady state cooperative behavior that is always greater than or equal to
the one predicted by evolutionary stability analysis and discuss relevant implications to natural
and artificial systems.
in the population exhibit homogeneous traits, cooperation is always favored. However, if there is
heterogeneity within the population, the evolution of cooperation is dependent on both the interaction structure and the decision making rules implemented by the entities. Here, we perform a
detailed analysis on the role of the interaction structures in the evolutionary stability of cooperation
in heterogeneous multiplicative environments. We utilize this analysis to examine the applicability
of a simple state-based decision making rule in a variety of settings. We thereby show that the
introduced rule leads to steady state cooperative behavior that is always greater than or equal to
the one predicted by evolutionary stability analysis and discuss relevant implications to natural
and artificial systems.
File(s)![Thumbnail Image]()
Loading...
Name
1912.09205.pdf
Size
1.64 MB
Format
Adobe PDF
Checksum
(MD5):be73ff3c1eb05a3ab67617781742453f