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Artificial general intelligence: Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009, Arlington, Virginia, USA, March 6-9, 2009

dc.contributor.editorGoertzel, Ben
dc.contributor.editorHitzler, Pascal
dc.contributor.editorHutter, Marcus
dc.date.accessioned2015-08-26T05:36:15Z
dc.date.available2015-08-26T05:36:15Z
dc.date.issued2009
dc.description.abstractArtificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI – to create broad human-like and transhuman intelligence, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. Due to the difficulty of this task, for the last few decades the majority of AI researchers have focused on what has been called narrow AI – the production of AI systems displaying intelligence regarding specific, highly constrained tasks. In recent years, however, more and more researchers have recognized the necessity – and feasibility – of returning to the original goals of the field. Increasingly, there is a call for a transition back to confronting the more difficult issues of human level intelligence and more broadly artificial general intelligence.en_AU
dc.identifier.isbn9789078677246en_AU
dc.identifier.issn1951-6851en_AU
dc.identifier.urihttp://hdl.handle.net/1885/14963
dc.provenancehttps://www.atlantis-press.com/proceedings/agi09/publishing..."The copyright of all articles published in these proceedings remains with the Authors, i.e. Authors retain full ownership of their article. Permitted third-party reuse of the open access articles is defined by the applicable Creative Commons (CC) end-user license which is accepted by the Authors upon submission of their paper. All articles in these proceedings are published under the CC BY-NC 4.0 license, meaning that end users can freely share an article (i.e. copy and redistribute the material in any medium or format) and adapt it (i.e. remix, transform and build upon the material) on the condition that proper attribution is given (i.e. appropriate credit, a link to the applicable license and an indication if any changes were made; all in such a way that does not suggest that the licensor endorses the user or the use) and the material is only used for non-commercial purposes."
dc.publisherAtlantis Pressen_AU
dc.relation.ispartofseriesAdvances in Intelligent Systems Research no. 8
dc.rights© 2009 Atlantis Pressen_AU
dc.rights.licenseCC BY-NC 4.0
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.source.urihttps://www.atlantis-press.com/proceedings/agi09
dc.titleArtificial general intelligence: Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009, Arlington, Virginia, USA, March 6-9, 2009en_AU
dc.typeConference proceedingsen_AU
dcterms.accessRightsOpen Access
local.bibliographicCitation.lastpage224en_AU
local.bibliographicCitation.startpage1en_AU
local.contributor.affiliationHutter, M., Research School of Computer Science, The Australian National Universityen_AU
local.contributor.authoruidu4350841en_AU
local.type.statusMetdata onlyen_AU

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