Covering the major topics of evolutionary game theory, Game-Theoretical Models in Biology,
Second Edition presents both abstract and practical mathematical models of real biological …

The application of incentives, such as reward and punishment, is a frequently applied way
for promoting cooperation among interacting individuals in structured populations. However …

Deterministic approximations to stochastic Susceptible–Infectious–Susceptible models
typically predict a stable endemic steady-state when above threshold. This can be hard to …

The evolution of a complex multistate system is often interpreted as a continuous-time
Markovian process. To model the relaxation dynamics of such systems, we introduce an …

Spatial evolutionary games are used to model large systems of interacting agents. In earlier
work, a method was developed using Bayesian Networks to approximate the population …

We consider models of evolution in structured populations involving multiplayer games.
Whilst also discussing other models, we focus on the modelling framework developed by …

We study an eco-evolutionary dynamics in finite populations of two haploid asexually
reproducing allelic types. We focus on the quasi-neutral case when individual types differ …

ABSTRACT Evolutionary Game Theory (EGT) studies evolving populations of agents that
interact through normal form games whose outcome determines each individual's …

The Hill–Robertson effect describes how, in a finite panmictic diploid population, selection at
one diallelic locus reduces the fixation probability of a selectively favoured allele at a …

In this paper, the use of the construction of random processes on graphs allows us to
expand the models of the theory of queuing and reliability by constructing. These problems …