Global adaptation in networks of selfish components: emergent associative memory at the system scale.
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Can government be self-organized? A mathematical model of the collective social organization of ancient Teotihuacan, central Mexico.What can ecosystems learn? Expanding evolutionary ecology with learning theory.Evolutionary Connectionism: Algorithmic Principles Underlying the Evolution of Biological Organisation in Evo-Devo, Evo-Eco and Evolutionary Transitions.The evolution of phenotypic correlations and "developmental memory"."If you can't be with the one you love, love the one you're with": how individual habituation of agent interactions improves global utility.
P2860
Global adaptation in networks of selfish components: emergent associative memory at the system scale.
description
2011 nî lūn-bûn
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2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
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2011年论文
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name
Global adaptation in networks ...... ve memory at the system scale.
@en
type
label
Global adaptation in networks ...... ve memory at the system scale.
@en
prefLabel
Global adaptation in networks ...... ve memory at the system scale.
@en
P2860
P356
P1433
P1476
Global adaptation in networks ...... ive memory at the system scale
@en
P2093
Richard A Watson
P2860
P304
P356
10.1162/ARTL_A_00029
P577
2011-05-09T00:00:00Z