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| dc.contributor.author | Da Silveira Glaeser, Stefânia | |
| dc.contributor.author | Dos Santos, Angélica Theis | |
| dc.contributor.author | de Cezaro, Adriano | |
| dc.contributor.author | Machado, Catia Maria Dos Santos | |
| dc.contributor.author | Adamatti, Diana F. | |
| dc.date.accessioned | 2019-02-05T12:02:04Z | |
| dc.date.available | 2019-02-05T12:02:04Z | |
| dc.date.issued | 2018-06-30 | |
| dc.identifier.citation | ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 7 (2018) | |
| dc.identifier.issn | 2255-2863 | |
| dc.identifier.uri | http://hdl.handle.net/10366/139215 | |
| dc.description.abstract | The 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.mimetype | application/pdf | |
| dc.language.iso | eng | |
| dc.publisher | Ediciones Universidad de Salamanca (España) | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Unported | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ | |
| dc.subject | Computación | |
| dc.subject | Informótica | |
| dc.subject | Computing | |
| dc.subject | Information Technology | |
| dc.title | Modeling of Circadian Rhythm under influence of Pain: an approach based on Multi-agent Simulation | |
| dc.type | info:eu-repo/semantics/article | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess |








