Evolutionary game dynamics is one of the most fruitful frameworks for studying evolution in
different disciplines, from Biology to Economics. Within this context, the approach of choice …

We introduce a model of stochastic evolutionary game dynamics in finite populations which
is similar to the familiar replicator dynamics for infinite populations. Our focus is on the …

Coevolutionary algorithms behave in very complicated, often quite counterintuitive ways.
Researchers and practitioners have yet to understand why this might be the case, how to …

Aspiration-driven or imitation? Which one is most effective for the promotion of cooperation?
There is a lot of interest that being brought to this issue. In this paper, we investigate the …

Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary
Game Strategies, and Applications to Systems Synthetic Biology discusses the evolutionary …

The fundamental distinction between ordinary evolutionary algorithms (EA) and co-
evolutionary algorithms lies in the interaction between coevolving entities. We believe that …

Complex adaptive systems have historically been studied using simplifications that mandate
deterministic interactions between agents or instead treat their interactions only with regard …

We use evolutionary game theory (EGT) to investigate the dynamics and equilibria of
selection methods in coevolutionary algorithms. The canonical selection method used in …

Evolutionary stable strategies (ESSs) are often used to explain the behaviors of individuals
and species. The analysis of ESSs determines which, if any, combinations of behaviors …

Cooperation in the prisoner's dilemma (PD) played on various networks has been explained
by so-called network reciprocity. Most of the previous studies presumed that players can …