Different stochastic strategies for modelling 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.

Cazzaniga, P., Pescini, D., Romero Campero, F., Besozzi, D., Mauri, G. (2006). Stochastic Approaches in P systems for Simulating Biological Systems. In Proceedings of the Fourth Brainstorming Week on Membrane Computing (pp.145-165). Sevilla : Fenix Editora.

Stochastic Approaches in P systems for Simulating Biological Systems

CAZZANIGA, PAOLO;PESCINI, DARIO;BESOZZI, DANIELA;MAURI, GIANCARLO
2006

Abstract

Different stochastic strategies for modelling 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.
slide + paper
Scientifica
Stochastic simulation; P systems
English
Brainstorming Week on Membrane Computing
84-611-0520-6
Cazzaniga, P., Pescini, D., Romero Campero, F., Besozzi, D., Mauri, G. (2006). Stochastic Approaches in P systems for Simulating Biological Systems. In Proceedings of the Fourth Brainstorming Week on Membrane Computing (pp.145-165). Sevilla : Fenix Editora.
Cazzaniga, P; Pescini, D; Romero Campero, F; Besozzi, D; Mauri, G
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/16566
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