Artículo
Comparing simulation algorithms for multienvironment probabilistic P systems over a standard virtual ecosystem
Autor/es | Colomer, M. Angels
Pérez Hurtado de Mendoza, Ignacio Pérez Jiménez, Mario de Jesús Riscos Núñez, Agustín |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2012 |
Fecha de depósito | 2018-10-30 |
Publicado en |
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Resumen | Membrane Computing has recently proved to
be a suitable framework for addressing the modelling of
dynamical biological systems in general, and ecosystems in
particular. Due to the inherent randomness and uncertainty
in ... Membrane Computing has recently proved to be a suitable framework for addressing the modelling of dynamical biological systems in general, and ecosystems in particular. Due to the inherent randomness and uncertainty in biological systems, when designing a model the relevant tasks to be addressed are the validation and virtual experimentation processes, rather than the formal verification. It is therefore crucial to rely on software implementations of efficient simulation algorithms. This paper presents a simple (but realistic enough) ecosystem where a carnivore and several herbivorous species interact. The model of this ecosystem has been used to compare experimentally the performance of two different simulation algorithms. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España Junta de Andalucía |
Identificador del proyecto | TIN2009–13192
P08-TIC-04200 |
Cita | Colomer, M.A., Pérez Hurtado de Mendoza, I., Pérez Jiménez, M.d.J. y Riscos Núñez, A. (2012). Comparing simulation algorithms for multienvironment probabilistic P systems over a standard virtual ecosystem. Natural Computing, 11 (3), 369-379. |
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