Ponencia
Probabilistic Guarded P Systems, A New Formal Modelling Framework
Autor/es | García Quismondo, Manuel
Martínez del Amor, Miguel Ángel Pérez Jiménez, Mario de Jesús |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2014 |
Fecha de depósito | 2019-05-29 |
Publicado en |
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ISBN/ISSN | 978-3-319-14369-9 0302-9743 |
Resumen | Multienvironment P systems constitute a general, formal
framework for modelling the dynamics of population biology, which consists
of two main approaches: stochastic and probabilistic. The framework
has been successfully ... Multienvironment P systems constitute a general, formal framework for modelling the dynamics of population biology, which consists of two main approaches: stochastic and probabilistic. The framework has been successfully used to model biologic systems at both micro (e.g. bacteria colony) and macro (e.g. real ecosystems) levels, respectively. In this paper, we extend the general framework in order to include a new case study related to P. Oleracea species. The extension is made by a new variant within the probabilistic approach, called Probabilistic Guarded P systems (in short, PGP systems). We provide a formal definition, a simulation algorithm to capture the dynamics, and a survey of the associated software. |
Identificador del proyecto | TIN2012- 37434
P08-TIC-04200 |
Cita | García Quismondo, M., Martínez del Amor, M.Á. y Pérez Jiménez, M.d.J. (2014). Probabilistic Guarded P Systems, A New Formal Modelling Framework. En CMC 2014: 15th International Conference on Membrane Computing (194-214), Prague, Czech Republic: Springer. |
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