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dc.creatorGutiérrez Naranjo, Miguel Ángeles
dc.creatorPérez Jiménez, Mario de Jesúses
dc.creatorRamírez Martínez, Danieles
dc.date.accessioned2017-12-27T08:22:03Z
dc.date.available2017-12-27T08:22:03Z
dc.date.issued2008
dc.identifier.citationGutiérrez Naranjo, M.Á., Pérez Jiménez, M.d.J. y Ramírez Martínez, D. (2008). A software tool for verification of Spiking Neural P Systems. Natural Computing, 7 (4), 485-497.
dc.identifier.issn1567-7818es
dc.identifier.urihttp://hdl.handle.net/11441/68015
dc.description.abstractThe formal verification of a Spiking Neural P System (SN P Systems, for short) designed for solving a given problem is usually a hard task. Basically, the verification process consists of the search of invariant formulae such that, once proved their validity, show the right answer to the problem. Even though there does not exist a general methodology for verifying SN P Systems, in (Pa˘un et al., Int J Found Comput Sci 17(4):975– 1002, 2006) a new tool based on the transition diagram of the P system has been developed for helping the researcher in the search of invariant formulae. In this paper we show a software tool which allows to generate the transition diagram of an SN P System in an automatic way, so it can be considered as an assistant for the formal verification of such computational devices.es
dc.description.sponsorshipMinisterio de Educación y Ciencia TIN2006-13425es
dc.description.sponsorshipJunta de Andalucía TIC-581es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofNatural Computing, 7 (4), 485-497.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMembrane Computinges
dc.subjectSpiking Neural P systemses
dc.subjectTransition diagrames
dc.titleA software tool for verification of Spiking Neural P Systemses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.projectIDTIN2006-13425es
dc.relation.projectIDTIC-581es
dc.relation.publisherversionhttps://link.springer.com/article/10.1007%2Fs11047-008-9083-yes
dc.identifier.doi10.1007/s11047-008-9083-yes
dc.contributor.groupUniversidad de Sevilla. TIC193: Computación Naturales
idus.format.extent13es
dc.journaltitleNatural Computinges
dc.publication.volumen7es
dc.publication.issue4es
dc.publication.initialPage485es
dc.publication.endPage497es
dc.identifier.sisius6606687es
dc.contributor.funderMinisterio de Educación y Ciencia (MEC). España
dc.contributor.funderJunta de Andalucía

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