DOI: 10.1016/j.tree.2015.11.009
论文题名: How Can Evolution Learn?
作者: Watson R.A. ; Szathmáry E.
刊名: Trends in Ecology and Evolution
ISSN: 1695347
出版年: 2016
卷: 31, 期: 2 起始页码: 147
结束页码: 157
语种: 英语
Scopus关键词: adaptation
; ecological approach
; evolution
; evolutionary theory
; learning
; theoretical study
; adaptation
; animal
; biological model
; evolution
; genetic selection
; genetics
; learning
; Adaptation, Physiological
; Animals
; Biological Evolution
; Learning
; Models, Biological
; Selection, Genetic
英文摘要: 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. © 2015 Elsevier Ltd. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/67092
Appears in Collections: 全球变化的国际研究计划 气候变化与战略
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作者单位: Department of Computer Science/Institute for Life Sciences, University of Southampton, Highfield, Southampton, United Kingdom; The Parmenides Foundation, Kirchplatz 1, Pullach/Munich, Germany; MTA-ELTE Theoretical Biology and Evolutionary Ecology Research Group, Pázmány Péter sétány 1C, Budapest, Hungary
Recommended Citation:
Watson R.A.,Szathmáry E.. How Can Evolution Learn?[J]. Trends in Ecology and Evolution,2016-01-01,31(2)