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dc.contributor.authorHamker, Fred H.
dc.date2012-11-01
dc.date.accessioned2018-01-08T09:16:10Z
dc.date.available2018-01-08T09:16:10Z
dc.date.issued2012
dc.identifier.issn1610-1987
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/11311
dc.description.abstractOur goal is to develop cognitive agents based on neuroscientific evidence. The efficiency of cognitive behavior depends on its capacity to select, represent and manipulate sufficient knowledge of the environment to achieve its goals. We designed a biologically motivated model of basal ganglia and particularly the prefrontal cortex and here review its foundations of neural learning and summarize our obtained results.
dc.publisherSpringer
dc.relation.ispartofKI - Künstliche Intelligenz: Vol. 26, No. 4
dc.relation.ispartofseriesKI - Künstliche Intelligenz
dc.subjectCognitive agent
dc.subjectLearning
dc.subjectWorking memory
dc.titleNeural Learning of Cognitive Control
dc.typeText/Journal Article
mci.reference.pages397-401
gi.identifier.doi10.1007/s13218-012-0210-7


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