Presentation
Simulating Tritrophic Interactions by Means of P Systems
Author/s | Colomer, M. Angels
Pérez Hurtado de Mendoza, Ignacio Pérez Jiménez, Mario de Jesús Riscos Núñez, Agustín |
Department | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Publication Date | 2010 |
Deposit Date | 2018-02-13 |
Published in |
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ISBN/ISSN | 978-1-4244-6437-1 |
Abstract | 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 ... 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. |
Citation | Colomer, M.A., Pérez Hurtado, I., Pérez Jiménez, M.d.J. y Riscos Núñez, A. (2010). Simulating Tritrophic Interactions by Means of P Systems. En BIC-TA 2010: IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (1621-1628), Changsha, China: IEEE. |
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tritrophic.pdf | 491.2Kb | [PDF] | View/ | |