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dc.contributor.authorDa Silveira Glaeser, Stefânia
dc.contributor.authorDos Santos, Angélica Theis
dc.contributor.authorde Cezaro, Adriano
dc.contributor.authorMachado, Catia Maria Dos Santos
dc.contributor.authorAdamatti, Diana F.
dc.date.accessioned2019-02-05T12:02:04Z
dc.date.available2019-02-05T12:02:04Z
dc.date.issued2018-06-30
dc.identifier.citationADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 7 (2018)
dc.identifier.issn2255-2863
dc.identifier.urihttp://hdl.handle.net/10366/139215
dc.description.abstractThe human body has endogenous biological rhythms. One of those rhythms is the circadian rhythm, with a cycle of approximate 24 hours, that is responsible for regulating many important functions of human body. In this contribution, we propose a nonlinear coupled differential equation for modelling some agents responsible for the circadian rhythm under the influence of pain. We show results concerning the well-posedness of a solution as well as an analysis on the synchronization for each agents. We use a multi-agent simulation strategy of an corresponding model as an alternative interpretation of the pain influences in the behavior of the circadian rhythm.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherEdiciones Universidad de Salamanca (España)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputación
dc.subjectInformótica
dc.subjectComputing
dc.subjectInformation Technology
dc.titleModeling of Circadian Rhythm under influence of Pain: an approach based on Multi-agent Simulation
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Unported