Stochastic Approaches in P Systems for Simulating Biological Systems

Cazzaniga, Paolo; Pescini, Dario; Romero Campero, Francisco José; Besozzi, Daniela; Mauri, Giancarlo

Ponencia

dc.creator	Cazzaniga, Paolo
dc.creator	Pescini, Dario
dc.creator	Romero Campero, Francisco José
dc.creator	Besozzi, Daniela
dc.creator	Mauri, Giancarlo
dc.date.accessioned	2016-03-08T10:40:27Z
dc.date.available	2016-03-08T10:40:27Z
dc.date.issued	2006
dc.identifier.isbn	8461106814	es
dc.identifier.uri	http://hdl.handle.net/11441/37018
dc.description.abstract	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.	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Fénix Editora	es
dc.relation.ispartof	Proceedings of the Fourth Brainstorming Week on Membrane Computing, Vol.I, 145-164. Sevilla, E.T.S. de Ingeniería Informática, 30 de Enero-3 de Febrero, 2006	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Stochastic Approaches in P Systems for Simulating Biological Systems	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/publishedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial	es
dc.contributor.group	Universidad de Sevilla. TIC193: Computación Natural
dc.identifier.idus	https://idus.us.es/xmlui/handle/11441/37018

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