•  English
    • Persian
    • English
  •   Login
  • Ferdowsi University of Mashhad
  • |
  • Information Center and Central Library
    • Persian
    • English
  • Home
  • Source Types
    • Journal Paper
    • Ebook
    • Conference Paper
    • Standard
    • Protocol
    • Thesis
  • Use Help
View Item 
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  •   FUM Digital Library
  • Fum
  • Articles
  • Latin Articles
  • View Item
  • All Fields
  • Title
  • Author
  • Year
  • Publisher
  • Subject
  • Publication Title
  • ISSN
  • DOI
  • ISBN
Advanced Search
JavaScript is disabled for your browser. Some features of this site may not work without it.

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

Author:
Lehman, Joel
,
Clune, Jeff
,
Risi, Sebastian
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/MIS.2014.92
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1150787
Keyword(s): artificial intelligence,AI abstraction,AI research,AI subfields,AI techniques,artificial intelligence,bio-inspired research,machine intelligence,Adaptive systems,Artificial intelligence,Biological system modeling,Brain modeling,Computational modeling,Design methodology,Neural networks,Neuroscience,Robots,AI,adaptive systems,artificial intelligence,cognitive science,computational neuroscience,deep learning,design automation,developmental robotics,evolving neural networks
Collections :
  • Latin Articles
  • Show Full MetaData Hide Full MetaData
  • Statistics

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

Show full item record

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?locale-attribute=en
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
  • About Us
نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
DSpace software copyright © 2019-2022  DuraSpace