dc.creator | Rodríguez Chavarría, Daniel | es |
dc.creator | Gutiérrez Naranjo, Miguel Ángel | es |
dc.creator | Borrego Díaz, Joaquín | es |
dc.date.accessioned | 2021-03-26T12:15:37Z | |
dc.date.available | 2021-03-26T12:15:37Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Rodríguez Chavarría, D., Gutiérrez Naranjo, M.Á. y Borrego Díaz, J. (2020). Logic Negation with Spiking Neural P Systems. Neural Processing Letters, 52, 1583-1599. | |
dc.identifier.issn | 1370-4621 | es |
dc.identifier.uri | https://hdl.handle.net/11441/106663 | |
dc.description.abstract | Nowadays, the success of neural networks as reasoning systems is doubtless. Nonetheless, one
of the drawbacks of such reasoning systems is that they work as black-boxes and the acquired
knowledge is not human readable. In this paper, we present a new step in order to close the
gap between connectionist and logic based reasoning systems. We show that two of the most
used inference rules for obtaining negative information in rule based reasoning systems, the
so-called Closed World Assumption and Negation as Finite Failure can be characterized by
means of spiking neural P systems, a formal model of the third generation of neural networks
born in the framework of membrane computing. | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades PID2019-109152GBI00 | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades PID2019-107339GB-I00 | es |
dc.format | application/pdf | es |
dc.format.extent | 17 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | Neural Processing Letters, 52, 1583-1599. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | P System | es |
dc.subject | Logic negation | es |
dc.subject | Membrane Computing | es |
dc.title | Logic Negation with Spiking Neural P Systems | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | 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.relation.projectID | PID2019-109152GBI00 | es |
dc.relation.projectID | PID2019-107339GB-I00 | es |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/s11063-020-10324-6 | es |
dc.identifier.doi | 10.1007/s11063-020-10324-6 | es |
dc.journaltitle | Neural Processing Letters | es |
dc.publication.issue | 52 | es |
dc.publication.initialPage | 1583 | es |
dc.publication.endPage | 1599 | es |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (MICINN). España | es |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades (MICINN). España | es |