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Hierarchical Approaches to Understanding Consciousness

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dc.contributor.authorCoward, L Andrew
dc.contributor.authorSun, Ron
dc.date.accessioned2015-12-08T22:41:37Z
dc.date.issued2007
dc.date.updated2015-12-08T10:29:21Z
dc.description.abstractThere has been much discussion on what a scientific theory of consciousness would look like, and even whether such a theory is possible. Some common misunderstandings of the nature of theories (e.g., in the physical sciences) have confused the discussion
dc.identifier.issn0893-6080
dc.identifier.urihttp://hdl.handle.net/1885/36728
dc.publisherPergamon Press
dc.sourceNeural Networks
dc.subjectKeywords: Cognitive systems; Large scale systems; Living systems studies; Medical problems; Cognitive architectures; Consciousness theories; Scientific theories; Neural networks; accuracy; article; cognition; comprehension; consciousness; expectation; human; natura Cognitive architectures; Complex systems; Consciousness theories; Modules; Scientific theories
dc.titleHierarchical Approaches to Understanding Consciousness
dc.typeJournal article
local.bibliographicCitation.issue9
local.bibliographicCitation.lastpage954
local.bibliographicCitation.startpage947
local.contributor.affiliationCoward, L Andrew, College of Engineering and Computer Science, ANU
local.contributor.affiliationSun, Ron, Rensselaer Polytechnic Institute
local.contributor.authoruidCoward, L Andrew, u1812686
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor170202 - Decision Making
local.identifier.ariespublicationU3594520xPUB140
local.identifier.citationvolume20
local.identifier.doi10.1016/j.neunet.2007.09.009
local.identifier.scopusID2-s2.0-35848945917
local.type.statusPublished Version

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