A new simulation algorithm for multienvironment probabilistic P systems
| Autor: | Martínez del Amor, Miguel Ángel, Pérez Hurtado de Mendoza, Ignacio, Pérez Jiménez, Mario de Jesús, Riscos Núñez, Agustín, Colomer, M. Angels |
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| Přispěvatelé: | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Sevilla. TIC193: Computación Natural, Ministerio de Ciencia e Innovación (MICIN). España, Junta de Andalucía |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Zdroj: | idUS. Depósito de Investigación de la Universidad de Sevilla instname |
| Popis: | Multienvironment P systems are the base of a general framework for modeling ecosystems dynamics. On one hand, this modeling framework represents the structural and dynamical aspects of real ecosystems in a discrete, modular and compressive way. On the other hand, the inherent randomness and uncertainty of biological systems are captured by using probabilistic strategies. Nowadays, the simulation of these P systems based models is fundamental for experimentation and validation. In this paper, we introduce a new simulation algorithm, called DNDP, which performs object distribution and maximal consistency in the application of rules, that are crucial aspects of these systems. The paper also depicts a parallel implementation of the algorithm, and a comparison with the existing algorithm in PLinguaCore is provided. In order to test the performance of the presented algorithm, several experiments (simulations) have been carried out over four simple P systems with the same skeleton and different number of environments. Ministerio de Ciencia e Innovación TIN2009–13192 Junta de Andalucía P08–TIC-04200 |
| Databáze: | OpenAIRE |
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