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(1994) On self-organization, Dordrecht, Springer.
Self-organization in evolution, immune systems, economics, neural nets, and brains
Hans J. Bremermann
pp. 5-34
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
DOI: 10.1007/978-3-642-45726-5_2
Full citation:
Bremermann, H. 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, pp. 5-34.
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