GPA: A Multiformalism, Multisolution Approach to Efficient Analysis of Large-Scale Population Models

2 Background

Population models describe interactions between individuals, which are grouped into populations. Individuals can represent a number of different entities or agents such as people, telecommunication equipment or vehicles to name but a few. While the individual behaviour of agents can be described using a small set of rules, the simulation of population models becomes infeasible when looking at the interaction of thousands or millions of individuals. However, when grouping a large number of individuals into populations, it is possible to evaluate the effects of interactions using efficient mean-field analysis techniques rather than simulation.