Please use this identifier to cite or link to this item: http://lib.hpu.edu.vn/handle/123456789/32307
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSendhoff, Bernharden_US
dc.contributor.authorKörner, Edgaren_US
dc.contributor.authorSporns, Olafen_US
dc.date.accessioned2019-03-26T08:29:58Z-
dc.date.available2019-03-26T08:29:58Z-
dc.date.issued2009en_US
dc.identifier.isbn9783642006159en_US
dc.identifier.isbn3642006159en_US
dc.identifier.otherHPU1161216en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/32307-
dc.description.abstractThis state-of-the-art-survey documents the scientific outcome of the International Symposium „Creating Brain-Like Intelligence", which took place in Hohenstein, Germany, in February 2007. It presents an introduction to this emerging interdisciplinary field by drawing together 15 articles from researchers across a broad range of disciplines. Brain-Like intelligence attempts a representation of the environment including the system itself. It has to cope with a continuous influx of an immense amount of mostly unspecific information and cannot be identified with a singular functionality. It is the versatility of brain-like intelligence, its robustness and plasticity which makes it the object of our quest. After 50 years of artificial intelligence research however, we are still not able to mimic even the lower level sensory capabilities of animals. But we are beginning to move in the right direction by identifying the biggest obstacles and starting to understand the autonomy, flexibility, and robustness of intelligent biological systems. This collection of articles is evidence of this progress and represents the current state of art in several research fields that are embraced by brain-like intelligence.en_US
dc.format.extent358 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringer-Verlag Berlin Heidelbergen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectComplex Intelligent Systemsen_US
dc.subjectTechnologyen_US
dc.titleCreating Brain-Like Intelligence: From Basic Principles to Complex Intelligent Systemsen_US
dc.typeBooken_US
dc.size11,690 KBen_US
dc.departmentTechnologyen_US
Appears in Collections:Technology

Files in This Item:
File Description SizeFormat 
Lecture-Notes-in-Computer-Science-5436-1240.pdf
  Restricted Access
11.69 MBAdobe PDFThumbnail
View/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.