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Hidden Order: How Adaptation Builds Complexity (Helix Books)
 
 
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Hidden Order: How Adaptation Builds Complexity (Helix Books) [Englisch] [Taschenbuch]

John H. Holland , Heather Mimnaugh
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John H. Holland
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Kurzbeschreibung

The father of the field of genetic algorithms, and one of the pioneers of the new science of complexity, Holland has been at the center of the emerging field of complex adaptive systems (cas) since its inception. This landmark book offers for the first time a coherent synthesis of this nascent discipline, a summing up which carries on every page the weight of Holland's authority and distinctive point of view. This book emphasizes the search for general principles that govern cas behavior, enlarging on the intuitions of a broad spectrum of scientists, and it includes a computer model that applies to the full range of cas. Holland concludes with a description of what we might do to enhance our theoretical understanding of cas. He suggests ways in which theory can provide useful guidelines for attacking the perplexing cas problems that stretch our resources and place our world in jeopardy.

Synopsis

Explains how scientists who study complexity are convinced that certain constant processes are at work in all kinds of unrelated complex systems.

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ON AN ORDINARY DAY in New York City, Eleanor Petersson goes to her favorite specialty store to pick up a jar of pickled herring. Lesen Sie die erste Seite
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7 von 7 Kunden fanden die folgende Rezension hilfreich
Von Ein Kunde
Format:Taschenbuch
There are several reasons why you might be reading reviews of Hidden Order: (1) perhaps you're wondering whether to get a book on complexity; or (2) perhaps you've decided that you want such a book, and are wondering whether this is the one for you.

In either case, it's probably best to start by relating the way in which Holland introduces his subject. He does so by remarking on the coherence of systems such as immune systems, ecosystems, and cities, despite the diversity of the agents that inhabit them. He refers to such systems as complex adaptive systems, or cas.

Holland's primary objective is to present, to the general reader, theory to "separate fundamental characteristics [general principles of cas] from fascinating idiosyncrasies and incidental features [of particular cas]" (p. 5). This point is crucial if you're reading this review for reason (2) above, since it distinguishes Hidden Order from several other popular accounts of complexity.

Holland's book is inter-disciplinary, and so contrasts with books such as Kauffman's At Home in the Universe, the main focus of which is on biology. If you're looking for an account of complexity located within a specific discipline, then, Hidden Order is not for you. Neither is for you if, at the same time as reading about complexity theory, you'd like to read about some of the people responsible for the theory. If you'd like biography mixed with your complexity, I'd advise you to try Waldrop's Complexity. Waldrop tells the story, not only of complexity theory, but also of the Sante Fe Institute and some of the people associated with it, including Holland and Kauffman.

Holland describes cas very clearly, making excellent use of examples and figures. He describes Echo, a model he developed to allow computer simulations of cas. Holland is a computer scientist, but he does not pelt the reader with the jargon of his discipline; rather, his description of Echo serves the objective of identifying the characteristics that generalize across cas.

I started by identifying reasons (1) and (2) why you might be reading this review. There are of course many other reasons, including: (3) perhaps you're a researcher pondering the applicability of complexity to your field. This is one of the reasons I read Hidden Order, and a few other books on complexity. If reason (3) describes you, then Hidden Order is the book I'd recommend starting with (but not finishing with), due to the clarity with which it presents the fundamentals of cas.

Finally, you might be reading this because: (4) you've read Hidden Order, and are wondering how others rated it. As you can see, I rate it very highly.

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6 von 6 Kunden fanden die folgende Rezension hilfreich
Format:Taschenbuch
Dr. Holland is a truly remarkable person. After creating the study of genetic algorithms he has gone on to further investigate concepts like complex adaptive systems. This book is an amazing look into his mind and an examination of some interesting theories on complexity science. He provides here a proposal for research and lays down a theoretical framework that can be used to examine questions like emergence and agent interaction. A must read for anyone interested in these questions. It is important to remember that this is an introductory text meant to be read by the general public. If you want more detailed looks into Dr. Holland's work I reccomend any number of his articles as well as his landmark treatise Adaption in Natural and Artificial Systems. The monograph that founded the study of genetic algorithms and was a major contribution to the study of evolutionary programming. Overall this book is rich with much insight and has many exciting ideas for possible research.
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8 von 9 Kunden fanden die folgende Rezension hilfreich
Tedious 24. Januar 1999
Von Ein Kunde
Format:Taschenbuch
The ideas treated here scarcely justify an article much less an entire book. It is as much work to plough through this tedious writing as it must have been for the author to pad it out to book length. There is nothing said that is new or compelling. Most of the ideas fall into one of the three categories of obvious, arbitrary, or completely glossed over. The author presents his previous work on genetic algorithms with a great deal of handwaving and mumbo jumbo. I suppose when the only tool you have is a hammer, every problem looks like a nail. And as the only subject in the book treated in any detail, genetic algorithms certainly help to up the page count. I imagine that anyone who has thought about adaptive systems to any degree will find this book as tedious as I did. If this is your first encounter with abstracting the notion of a system or with genetic algorithms, you might be able to wade through the muck and learn something, but any book that treats its subject so shallowly should at least be well written, and this book isn't. The mostly ridiculous diagrams look like they were printed on a dot matrix printer. This is a five page grant proposal for graduate research stretched to 170 pages with a tutorial on genetic algorithms thrown in. Could the author not have waited for some of that research to actually be done before writing the other 165 pages? Ugh. If you want to read something intelligent about complex systems, try At Home In The Universe by Stuart Kauffman. A little bit of thought FOLLOWED BY SOME ACTUAL SCIENCE would qualify anyone to write a much, much better book than this.
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