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How Can Evolution Learn?

  • Metaadatok
Tartalom: http://real.mtak.hu/48001/
Archívum: MTA Könyvtár
Gyűjtemény: Status = Published
Type = Article
Cím:
How Can Evolution Learn?
Létrehozó:
Watson, Richard A.
SzathmĂĄry, EĂśrs
Kiadó:
North-Holland Publishing Company
Dátum:
2016-02-01
Téma:
QH359-425 Evolution (Biology) / evolĂşciĂł
Tartalmi leírás:
The theory of evolution links random variation and selection to incremental adaptation. In a different intellectual domain, learning theory links incremental adaptation (e.g., from positive and/or negative reinforcement) to intelligent behaviour. Specifically, learning theory explains how incremental adaptation can acquire knowledge from past experience and use it to direct future behaviours toward favourable outcomes. Until recently such cognitive learning seemed irrelevant to the ‘uninformed’ process of evolution. In our opinion, however, new results formally linking evolutionary processes to the principles of learning might provide solutions to several evolutionary puzzles – the evolution of evolvability, the evolution of ecological organisation, and evolutionary transitions in individuality. If so, the ability for evolution to learn might explain how it produces such apparently intelligent designs.
Nyelv:
magyar
Típus:
Article
PeerReviewed
info:eu-repo/semantics/article
Formátum:
text
Azonosító:
Watson, Richard A. and SzathmĂĄry, EĂśrs (2016) How Can Evolution Learn? TRENDS IN ECOLOGY & EVOLUTION, 31 (2). pp. 147-157. ISSN 0169-5347
Kapcsolat:
10.1016/j.tree.2015.11.009