Information and Self-Organization: A Macroscopic Approach to Complex Systems
| Author | : | |
| Rating | : | 4.92 (666 Votes) |
| Asin | : | 3540186395 |
| Format Type | : | paperback |
| Number of Pages | : | 196 Pages |
| Publish Date | : | 2015-08-30 |
| Language | : | English |
DESCRIPTION:
With aid of synergeticsadequate objective constraints for a large class of systemsare formulated and examples are given from physics andbiology.. A general formulation of the maximum inform-ation (entropy) principle is used. This book presents the concepts needed to deal with self-organizing complexsystems from a unifying point of viewthat uses macroscopic data. The meanings of "information"are discussed
"physics approach" according to Dale C.. Self-Organization is not the function given to a neural net (although they have taken it) used for pattern recognition, nor is it a cult somewhere in Germany. After following Haken's work for 6-8 years it is good to see a summary of sorts. Haken was working with self-organizing similarities in the 80's when unification ideas wer
From the reviews of the third edition: "This enlarged edition of Information and Self-Organization addresses the concept of information in depth: ranging from Shannon information, from which all semantics has been exorcised, to the effects of information on receivers and the self-creation of meaning that is, toward semantic information . 15, 2009) . Nevertheless, both the qualitative lessons and quantitative analysis presented in the book very useful for artificial life researchers." (Mikhail Prokopenko, Artificial Life, Vol