Stochastic simulation of multiscale complex systems with PISKaS: A rule-based approach.

@article{PrezAcle2018StochasticSO,
  title={Stochastic simulation of multiscale complex systems with PISKaS: A rule-based approach.},
  author={Tomas P{\'e}rez-Acle and Ignacio Fuenzalida and Alberto J. M. Martin and Rodrigo Santib{\'a}{\~n}ez and Rodrigo Avaria and Alejandro Bernardin and Alvaro M Bustos and Daniel Garrido and Jonathan Dushoff and James H. Liu},
  journal={Biochemical and biophysical research communications},
  year={2018},
  volume={498 2},
  pages={342-351}
}
Computational simulation is a widely employed methodology to study the dynamic behavior of complex systems. Although common approaches are based either on ordinary differential equations or stochastic differential equations, these techniques make several assumptions which, when it comes to biological processes, could often lead to unrealistic models. Among others, model approaches based on differential equations entangle kinetics and causality, failing when complexity increases, separating… CONTINUE READING