Research Group on Natural Computing

P systems provide a high level computational modelling
framework that combines the structural and dynamical
aspects of ecosystems in a compressive and relevant way. The
inherent randomness and uncertainty in biological systems is
captured by using probabilistic strategies. The design of efficient
simulation algorithms in order to reproduce the behavior of these
computational models over conventional computers is fundamental
for the validation and virtual experimentation processes.
In this paper, we describe the modelling framework and two
different simulation algorithms. As a case study, a P system
based model of an ideal ecosystem with three trophic levels is
designed and simulated by both simulation algorithms, providing
comparisons of efficiency between them.