控制論者海因茨·馮·福斯特於1960年提出了「從雜訊產生秩序」的原理。[9]該原理指出，隨機干擾（「雜訊」）會促進自我組織，使系統在其狀態空間中探索各種狀態。這增加了系統到達「強」或「深」吸引域的機會，然後從那裏迅速進入吸引子本身。生物物理學家亨利·阿特蘭（英語：Henri Atlan）提出「從雜訊產生複雜性」原理（法語：le principe de complexité par le bruit[10]）[11][12]，發展了這一概念， 他首先是在1972年出版的L'organisation biologique et la théorie de l'information一書中，然後是在1979年出版的Entre le cristal et la fumée一書中提出了「從雜訊產生複雜性」。物理學家兼化學家伊利亞·普里高津提出了一個類似的原理，稱為「來自波動的秩序」[13]或「來自混沌的秩序」。[14]它被應用於問題求解和機器學習的模擬退火方法中。[15]
Ilachinski, Andrew. Cellular Automata: A Discrete Universe. World Scientific. 2001: 2472001. ISBN 978-981-238-183-5. We have already seen ample evidence for what is arguably the single most impressive general property of CA, namely their capacity for self-organization
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E.V. Krishnamurthy (2009)", Multiset of Agents in a Network for Simulation of Complex Systems", in "Recent advances in Nonlinear Dynamics and synchronization, (NDS-1) – Theory and applications, Springer Verlag, New York,2009. Eds. K.Kyamakya, et al.
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