Information and Self-Organization: A Macroscopic Approach to Complex Systems (Springer Series in Synergetics)
| Author | : | |
| Rating | : | 4.47 (818 Votes) |
| Asin | : | 3540662863 |
| Format Type | : | paperback |
| Number of Pages | : | 222 Pages |
| Publish Date | : | 2013-07-08 |
| Language | : | English |
DESCRIPTION:
This allows for probabilistic predictions of processes, with applications to numerous fields in science, technology, medicine and economics. This book addresses graduate students and nonspecialist researchers wishing to get acquainted with the concept of information from a scientific perspective in more depth. It is suitable as a textbook for advanced courses or for self-study.. This book presents the concepts needed to deal with self-organizing complex systems from a unifying point of view that uses macroscopic data. With the aid of results from synergetics, adequate objec
15, 2009) . 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 . Nevertheless, both the qualitative lessons and quantitative analysis presented in the book very useful for artificial life researchers." (Mikhail Prokopenko, Artificial Life, Vol
physics approach 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 were rampant. Haken uses this same analogy by equating the basic form to stochastic differential equations. It is somewhat easier t