Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/112547
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dc.contributor.authorViejo, Pabloen_US
dc.contributor.authorKremers, Enriqueen_US
dc.contributor.authorde Durana, José Gonzálezen_US
dc.contributor.authorBarambones, Óscaren_US
dc.contributor.authorHernández-Tejera, Francisco Marioen_US
dc.contributor.authorHernández Cabrera, José Juanen_US
dc.contributor.authorÉvora Gómez, Joséen_US
dc.date.accessioned2021-11-04T09:53:01Z-
dc.date.available2021-11-04T09:53:01Z-
dc.date.issued2013en_US
dc.identifier.urihttp://hdl.handle.net/10553/112547-
dc.description.abstractCritical regimes are present in all socio-technical systems. Usually, man-made systems are designed to avoid these regimes completely, and stay in a stable steady state to avoid uncertainty. However, complexity theory postulates that the edge of chaos, between order and disorder, provides highly interesting phenomena, such as emergence, which are important for the evolution of the system. In this paper we explore the edge of chaos through a concrete example in electrical energy systems. The exploration is done through simulation, which provides a valuable mean to perform massive experiments on large scale systems. The complexity residing at the edge is discussed, and external, system relevant and internal factors which are likely to shift this edge or drive the systems trajectory towards or away from it are introduced.en_US
dc.languagespaen_US
dc.sourceEuropean Conference on Complex Systems (ECCS 2013), Barcelona, Españaen_US
dc.subject1203 Ciencia de los ordenadoresen_US
dc.titleCriticality in complex sociotechnical systems. An empirical approachen_US
dc.typeinfo:eu-repo/semantics/conferenceobjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceThe 2013 European Conference on Complex Systems (ECCS 2013)en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Redes Neuronales, Aprendizaje Automático e Ingeniería de Datos-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0001-9717-8048-
crisitem.author.orcid0000-0003-2427-2441-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameHernández Tejera, Francisco Mario-
crisitem.author.fullNameHernández Cabrera, José Juan-
crisitem.author.fullNameÉvora Gómez, José-
crisitem.event.eventsstartdate16-09-2013-
crisitem.event.eventsenddate20-09-2013-
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