An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI
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: 2014شناسه الکترونیک: 10.1109/MIS.2014.92
کلیدواژه(گان): 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
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An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI
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contributor author | Lehman, Joel | |
contributor author | Clune, Jeff | |
contributor author | Risi, Sebastian | |
date accessioned | 2020-03-13T00:33:06Z | |
date available | 2020-03-13T00:33:06Z | |
date issued | 2014 | |
identifier issn | 1541-1672 | |
identifier other | 6982117.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1150787 | |
format | general | |
language | English | |
publisher | IEEE | |
title | An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 8334253 | |
subject keywords | artificial intelligence | |
subject keywords | AI abstraction | |
subject keywords | AI research | |
subject keywords | AI subfields | |
subject keywords | AI techniques | |
subject keywords | artificial intelligence | |
subject keywords | bio-inspired research | |
subject keywords | machine intelligence | |
subject keywords | Adaptive systems | |
subject keywords | Artificial intelligence | |
subject keywords | Biological system modeling | |
subject keywords | Brain modeling | |
subject keywords | Computational modeling | |
subject keywords | Design methodology | |
subject keywords | Neural networks | |
subject keywords | Neuroscience | |
subject keywords | Robots | |
subject keywords | AI | |
subject keywords | adaptive systems | |
subject keywords | artificial intelligence | |
subject keywords | cognitive science | |
subject keywords | computational neuroscience | |
subject keywords | deep learning | |
subject keywords | design automation | |
subject keywords | developmental robotics | |
subject keywords | evolving neural networks | |
identifier doi | 10.1109/MIS.2014.92 | |
journal title | Intelligent Systems, IEEE | |
journal volume | 29 | |
journal issue | 6 | |
filesize | 1581938 | |
citations | 0 |