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Self-organization in evolution, immune systems, economics, neural nets, and brains
pp. 5-34
Abstract
Self-organization is creation without a creator attending to details. More precisely: the formation of patterns and structures that form from the initial state, without intervention, in a dynamical system, or through the interaction of finite state automata. The term self-organization is also applied to supervised learning by neural nets, and to genetic algorithms [1, 2, 3].
Publication details
Published in:
Mishra Kumar Ramesh, Maaß D, Zwierlein Eduard (1994) On self-organization: an interdisciplinary search for a unifying principle. Dordrecht, Springer.
Pages: 5-34
DOI: 10.1007/978-3-642-45726-5_2
Full citation:
Bremermann Hans J. (1994) „Self-organization in evolution, immune systems, economics, neural nets, and brains“, In: R. Mishra Kumar, D. Maaß & E. Zwierlein (eds.), On self-organization, Dordrecht, Springer, 5–34.