Analyzing coevolutionary games with dynamic fitness landscapes
This work addresses the analysis of coevolutionary dynamics for researchers in evolutionary game theory, but it appears incremental as it builds on existing landscape models.
The paper tackled the problem of analyzing coevolutionary games by introducing a framework using dynamic fitness landscapes, and the result showed that these games invoke dynamic landscapes, with numerical experiments analyzing modality and ruggedness for prisoner's dilemma and snow drift games using different strategy updates.
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