AbStochKin is an agent-based (or particle-based) Monte-Carlo simulator of the time
evolution of systems composed of species that participate in coupled processes.
The population of a species is considered as composed of distinct individuals,
termed agents, or particles.
This allows for the specification of the kinetic parameters describing
the propensity of each agent to participate in a given process.
Although the algorithm was originally conceived for simulating biochemical systems, it is applicable to other disciplines where there is a need to model how populations change over time and to study the effects of heterogeneity, or diversity, in the composition of species populations on the dynamics of a system.
The documentation of all public classes, methods, and functions in the project can be found here.
A monograph detailing the theoretical underpinnings of the Agent-based Kinetics algorithm and a multitude of case studies highlighting its use can be found here.