Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12104/43020
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dc.contributor.authorPasquier, J.L.
dc.date.accessioned2015-09-15T18:27:40Z-
dc.date.available2015-09-15T18:27:40Z-
dc.date.issued2004
dc.identifier.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-32844468518&partnerID=40&md5=847e47dc2c80e9a7e68104f639efeab5
dc.identifier.urihttp://hdl.handle.net/20.500.12104/43020-
dc.description.abstractThe Neuromorphic Autonomous Controller (NAC) corresponds to a dynamic architecture designed to learn, operate and adapt through acting within a specific environment. The creation and adjustment of internal structures result from automatic mechanisms integrated to the architecture. This paper illustrates NAC operations and abilities while describing a preliminary implementation aimed at controlling a virtual single-leg robot.
dc.relation.isreferencedbyScopus
dc.titleNAC, an artificial brain for epigenetic robotics
dc.typeConference Paper
dc.relation.ispartofjournalRobotics: Trends, Principles, and Applications - Proceedings of the Sixth Biannual World Automation Congress, WAC
dc.relation.ispartofpage535
dc.relation.ispartofpage540
dc.subject.keywordArtificial brain; Autonomous control; Epigenetic robotics; Growing neural network; Learning systems; Stochastic network
dc.contributor.affiliationPasquier, J.L., Departamento de Ingenieria de Proyectos Centro Universitario de Ciencias Exactas Eingenieria, Universidad de Guadalajara, Mexico
Appears in Collections:Producción científica UdeG

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