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dc.creatorColomer, M. Angelses
dc.creatorPérez Hurtado de Mendoza, Ignacioes
dc.creatorPérez Jiménez, Mario de Jesúses
dc.creatorRiscos Núñez, Agustínes
dc.date.accessioned2018-02-13T10:33:52Z
dc.date.available2018-02-13T10:33:52Z
dc.date.issued2010
dc.identifier.citationColomer, M.A., Pérez Hurtado, I., Pérez Jiménez, M.d.J. y Riscos Núñez, A. (2010). Simulating Tritrophic Interactions by Means of P Systems. En BIC-TA 2010: IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (1621-1628), Changsha, China: IEEE.
dc.identifier.isbn978-1-4244-6437-1es
dc.identifier.urihttps://hdl.handle.net/11441/70241
dc.description.abstractP systems provide a high level computational modelling framework that combines the structural and dynamical aspects of ecosystems in a compressive and relevant way. The inherent randomness and uncertainty in biological systems is captured by using probabilistic strategies. The design of efficient simulation algorithms in order to reproduce the behavior of these computational models over conventional computers is fundamental for the validation and virtual experimentation processes. In this paper, we describe the modelling framework and two different simulation algorithms. As a case study, a P system based model of an ideal ecosystem with three trophic levels is designed and simulated by both simulation algorithms, providing comparisons of efficiency between them.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherIEEEes
dc.relation.ispartofBIC-TA 2010: IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (2010), p 1621-1628
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleSimulating Tritrophic Interactions by Means of P Systemses
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/5645258/es
dc.identifier.doi10.1109/BICTA.2010.5645258es
dc.contributor.groupUniversidad de Sevilla.TIC193: Computación Naturales
idus.format.extent8es
dc.publication.initialPage1621es
dc.publication.endPage1628es
dc.eventtitleBIC-TA 2010: IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applicationses
dc.eventinstitutionChangsha, Chinaes
dc.relation.publicationplaceNew York, USAes

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