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An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI

contributor authorLehman, Joel
contributor authorClune, Jeff
contributor authorRisi, Sebastian
date accessioned2020-03-13T00:33:06Z
date available2020-03-13T00:33:06Z
date issued2014
identifier issn1541-1672
identifier other6982117.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1150787?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI
typeJournal Paper
contenttypeMetadata Only
identifier padid8334253
subject keywordsartificial intelligence
subject keywordsAI abstraction
subject keywordsAI research
subject keywordsAI subfields
subject keywordsAI techniques
subject keywordsartificial intelligence
subject keywordsbio-inspired research
subject keywordsmachine intelligence
subject keywordsAdaptive systems
subject keywordsArtificial intelligence
subject keywordsBiological system modeling
subject keywordsBrain modeling
subject keywordsComputational modeling
subject keywordsDesign methodology
subject keywordsNeural networks
subject keywordsNeuroscience
subject keywordsRobots
subject keywordsAI
subject keywordsadaptive systems
subject keywordsartificial intelligence
subject keywordscognitive science
subject keywordscomputational neuroscience
subject keywordsdeep learning
subject keywordsdesign automation
subject keywordsdevelopmental robotics
subject keywordsevolving neural networks
identifier doi10.1109/MIS.2014.92
journal titleIntelligent Systems, IEEE
journal volume29
journal issue6
filesize1581938
citations0


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