Ponencia
Stochastic Approaches in P Systems for Simulating Biological Systems
Autor/es | Cazzaniga, Paolo
Pescini, Dario Romero Campero, Francisco José Besozzi, Daniela Mauri, Giancarlo |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2006 |
Fecha de depósito | 2016-03-08 |
Publicado en |
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ISBN/ISSN | 8461106814 |
Resumen | Different stochastic strategies for modeling biological systems with P systems are reviewed in this paper, such as the multi-compartmental approach and dynamical probabilistic P systems. The respective results obtained ... Different stochastic strategies for modeling biological systems with P systems are reviewed in this paper, such as the multi-compartmental approach and dynamical probabilistic P systems. The respective results obtained from the simulations of a test case study (the quorum sensing phenomena in Vibrio Fischeri colonies) are shown, compared and discussed. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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stochastic_approaches.pdf | 1.363Mb | [PDF] | Ver/ | |