Analyzing coevolutionary games with dynamic fitness landscapes
Populations and Evolution
2016-11-30 v1 Computer Science and Game Theory
Neural and Evolutionary Computing
Abstract
Coevolutionary games cast players that may change their strategies as well as their networks of interaction. In this paper a framework is introduced for describing coevolutionary game dynamics by landscape models. It is shown that coevolutionary games invoke dynamic landscapes. Numerical experiments are shown for a prisoner's dilemma (PD) and a snow drift (SD) game that both use either birth-death (BD) or death-birth (DB) strategy updating. The resulting landscapes are analyzed with respect to modality and ruggedness
Keywords
Cite
@article{arxiv.1603.06374,
title = {Analyzing coevolutionary games with dynamic fitness landscapes},
author = {Hendrik Richter},
journal= {arXiv preprint arXiv:1603.06374},
year = {2016}
}