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dc.creatorMartínez del Amor, Miguel Ángel
dc.creatorPérez Hurtado de Mendoza, Ignacio
dc.creatorGarcía Quismondo, Manuel
dc.creatorMacías Ramos, Luis Felipe
dc.creatorValencia Cabrera, Luis
dc.creatorRomero Jiménez, Álvaro
dc.creatorGraciani Díaz, Carmen
dc.creatorRiscos Núñez, Agustín
dc.creatorColomer, M. Angels
dc.creatorPérez Jiménez, Mario de Jesús
dc.date.accessioned2016-02-04T10:38:47Z
dc.date.available2016-02-04T10:38:47Z
dc.date.issued2012
dc.identifier.isbn978-84-940056-6-4es
dc.identifier.urihttp://hdl.handle.net/11441/34064
dc.description.abstractPopulation Dynamics P systems refer to a formal framework for ecological modelling. The semantics of the model associates probabilities to rules, but at the same time, the model is based on P systems, so the rules are applied in a maximally parallel way. Since the success of the rst model using this framework [5], initially called multienvironment probabilistic P systems, several simulation algorithms have been de ned in order to better reproduce the behaviour of the ecosystems with the models. BBB and DNDP are previous attempts, which de ne blocks of rules having the same left-hand side, but do not de ne a deterministic behaviour when di erent rules are competing for the same resources. That is, di erent blocks of rules present in their lefthand side common objects, being applicable at the same time. In this paper, we introduce a new simulation algorithm, called DCBA, which performs a proportional distribution of resources.es
dc.description.sponsorshipJunta de Andalucía P08-TIC04200
dc.description.sponsorshipMinisterio de Educación y Ciencia TIN2009-13192
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherFénix Editoraes
dc.relation.ispartofProceedings of the Tenth Brainstorming Week on Membrane Computing, (2)27-56. Sevilla, E.T.S. de Ingeniería Informática, 30 de Enero-3 de Febrero, 2012,es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMembrane Computinges
dc.subjectPopulation Dynamicses
dc.subjectSimulation Algorithmes
dc.subjectProbabilistic P systemses
dc.subjectDCBAes
dc.subjectP-Linguaes
dc.subjectpLinguaCorees
dc.titleDCBA: Simulating Population Dynamics P Systems with Proportional Object Distributiones
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.projectIDP08-TIC04200
dc.relation.projectIDTIN2009-13192
dc.contributor.groupUniversidad de Sevilla. TIC193: Computación Natural
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/34064
dc.contributor.funderJunta de Andalucía
dc.contributor.funderMinisterio de Educación y Ciencia (MEC). España

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