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dc.contributor.authorDowning, Keith L.en_US
dc.date.accessioned2020-08-03T08:06:56Z
dc.date.available2020-08-03T08:06:56Z
dc.date.issued2015en_US
dc.identifier.isbn9780262029131en_US
dc.identifier.otherHPU2164048en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/33174
dc.description.abstractEmergence -- the formation of global patterns from solely local interactions -- is a frequent and fascinating theme in the scientific literature both popular and academic. In this book, Keith Downing undertakes a systematic investigation of the widespread (if often vague) claim that intelligence is an emergent phenomenon. Downing focuses on neural networks, both natural and artificial, and how their adaptability in three time frames -- phylogenetic (evolutionary), ontogenetic (developmental), and epigenetic (lifetime learning) -- underlie the emergence of cognition. Integrating the perspectives of evolutionary biology, neuroscience, and artificial intelligence, Downing provides a series of concrete examples of neurocognitive emergence. Doing so, he offers a new motivation for the expanded use of bio-inspired concepts in artificial intelligence (AI), in the subfield known as Bio-AI.en_US
dc.format.extent499p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherMIT Pressen_US
dc.subjectBiologyen_US
dc.subjectNeuroscienceen_US
dc.subjectArtificial intelligenceen_US
dc.titleIntelligence Emerging: Adaptivity and Search in Evolving Neural Systemsen_US
dc.typeBooken_US
dc.size7,85 MBen_US
dc.departmentSociologyen_US


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