A computational modeling for real ecosystems based on P systems

Abstract

In this paper, a P systems based general framework for modeling ecosystems dynamics is presented. Particularly, ecosystems are specified by means of multienvironment P systems composed of a finite number of environments, each of them having an extended P system with active membranes. The semantics is of a probabilistic type and it is implemented by assigning each rule of the system a probabilistic constant which depends on the environment and the run time. As a case study, two real ecosystems are described: scavenger birds in the Catalan Pyrenees and the zebra mussel (Dreissena Polymorpha)in Ribarroja reservoir (Spain).

A View of P Systems from Information Theory

“…An important concept to define entropies for P system is to establish whether the objects are produced in a stochastic/probabilistic manner or not. For the former, the probabilistic distribution is carried out by the definition of stochastic/probabilistic P systems such as Dynamical Probabilistic P systems (DPP) [15] or Population Dynamics P Systems (PDP) [5], together with their simulation algorithms [3,11,12].…”

“…The main systems that have been proposed to calculate the configurations in a probabilistic/stochastic manner have been Dynamical Probabilistic P systems (DPP) [15], including the τ -DPP systems [4], or Population Dynamics P Systems (PDP) [5]. In both cases, there are simulation algorithms that manage the configurations evolution in order to produce the desired stochastic/probabilistic effect [1,3,[9][10][11][12].…”

“…Calculate the following configuration of the system and the probabilities of the rules according to a pre-defined algorithm [1,3,[9][10][11][12] ). 3.…”

DCBA: Simulating Population Dynamics P Systems with Proportional Object Distribution

“…ODEs, Petri Nets, etc). However, in 2011 a Membrane Computing modelling framework for ecosystem dynamics was introduced [3]. Based on this framework, several ecosystem models have already been presented.…”

“…Based on this framework, several ecosystem models have already been presented. Some examples are the population dynamics of Gypaetus barbatus [4] and Rupicapra p. pyrenaica [8] in the Catalan Pyrenees, as well as the population density of Dreissena polymorpha in Ribarroja reservoir [3]. Some of the assets of this framework are the ability to analyse the simultaneous evolution of a high number of species, as well as the management of a large number of auxiliary objects.…”