Self-organization in evolution, immune systems, economics, neural nets, and brains

Hans J. Bremermann

pp. 5-34

in: Ramesh Mishra Kumar, D. Maas, Eduard Zwierlein (eds), On self-organization, Berlin, Springer, 1994

Abstrakt

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].