The Origins of Order: Self-Organization and Selection in Evolution [Format Kindle] Author: Stuart A. Kauffman | Language: English | ISBN:
B004HYFQBS | Format: PDF, EPUB
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Revue de presse
. . . an integrative book that will become a landmark and a classic as we grope towards a more comprehensive and satisfying theory of evolution. (
Stephen Jay Gould)
Stuart Kauffman's book . . . is a global representation of a new field, that will greatly enhance our physical understanding of Nature . . . A superb reading, not limited to physicists and biologists, having most important implications in natural philosophy. (
Manfred Eigen)
Here is a big book with a big purpose. . . . The Origins of Order is the first book to be written by any of the complexity theorists themselves, and it presents Kauffman's view of the biological realm. . . . The Origins of Order will be seen as a major work in the progression of biological theory. At the very least, Kauffman has made a persuasive case to have his bold hypothesis heard. (
Roger Lewin)
Présentation de l'éditeur
Stuart Kauffman here presents a brilliant new paradigm for evolutionary biology, one that extends the basic concepts of Darwinian evolution to accommodate recent findings and perspectives from the fields of biology, physics, chemistry and mathematics. The book drives to the heart of the exciting debate on the origins of life and maintenance of order in complex biological systems. It focuses on the concept of self-organization: the spontaneous emergence of order that is widely observed throughout nature Kauffman argues that self-organization plays an important role in the Darwinian process of natural selection. Yet until now no systematic effort has been made to incorporate the concept of self-organization into evolutionary theory. The construction requirements which permit complex systems to adapt are poorly understood, as is the extent to which selection itself can yield systems able to adapt more successfully. This book explores these themes. It shows how complex systems, contrary to expectations, can spontaneously exhibit stunning degrees of order, and how this order, in turn, is essential for understanding the emergence and development of life on Earth. Topics include the new biotechnology of applied molecular evolution, with its important implications for developing new drugs and vaccines; the balance between order and chaos observed in many naturally occurring systems; new insights concerning the predictive power of statistical mechanics in biology; and other major issues. Indeed, the approaches investigated here may prove to be the new center around which biological science itself will evolve. The work is written for all those interested in the cutting edge of research in the life sciences.
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If you're looking for popular science, you will be happier with the author's more readable book on the same subject, At Home in the Universe. But if you're willing to do a little more work, this is the most compelling book you'll find about how life can emerge from the natural principles of self-organization.
This is a technical book. It isn't filled with equations, but it assumes at least some knowledge of basic math, chemistry, and biology. It was written by an impressive generalist whose talents seem to extend to almost everything except lucid writing, and for that reason alone, it will never receive the attention it deserves.
As with all good science, this book is equal parts experiment, observation, and intuition. Computer simulations of randomly generated boolean networks are used to explore: the dyamics of evolution on rugged fitness landscapes; the tendency to react to perturbations by returning to the stable cycle or "attractor" that was active when the perturbation occurred; and the relationship among the different attractor loops within such networks. This experimental work is tied in with knowledge of biology and chemistry to explain the emergence of life, autocatalytic systems of chemicals, cell development, and natural selection.
The experience was something like reading Godel, Escher, Bach but in many ways more satisfying. Whereas Hofstadter eloquently contrives a synthesis of three human inventions, mathematics, music and art, Kauffman scrawls out his intuitive synthesis based on the rather empirical fields of chemistry, biology and computer simulation. Hofstadter is looking for an understanding of how the mind networks symbols to create thought, and Kauffman, how the natural universe networks molecules to create life. But Kauffman's work is relevant to all complex systems and offers lasting insight into the mechanisms underlying cells, societies, and even thought. Whereas GEB is largely about appreciating the wonder of intelligent life, The Origins of Order is about understanding how it actually happens.
I mention Godel, Escher, Bach for good reason. These book aren't for everybody. If you worked through the examples of predicate logic in GEB and learned sufficient musical notation and theory to understand his points, and if you gained some appreciation for Godel's theorem, then you should plow through Kauffman's turgid prose, risk learning a little more about biochemistry, and delight in a reawakened wonder at the universe and newfound optimism for the future of natural science.
Par Un client
- Publié sur Amazon.com
Stuart Kauffman has an MD and is a generalist. The book deals primarily with theory and understanding of computer simulations of state driven systems of large numbers of connected nodes. It examines how such systems evolve through mutation and gives a clear understanding of the limited role of natural selection in comparison to the self-organizing forces at work within such systems. It examines the meta-interaction of sub-systems of interacting states (attractor basins) that occur within a system. In English: it gives the first theoretical framework for understanding just how it is that cells which all contain identical DNA express themselves as some number of stable cell types. Normally a cell will react to a perturbation in whatever way will return it to its base stable cycle (attractor loop). One type of cell turns into another type when just the right perturbation kicks the system from one attractor basin into a different attractor basin.
This is heavier reading than his popular science book, At Home in the Universe, but preferable for anyone with the necessary tiny amount of knowledge of genetics and logic operations. There are few equations of any kind. The results apply to more than just biological systems.
The book is long because instead of just presenting a few principles that you can try to remember abstractly, he leads you through all the important steps of his research and gives you a real feel for how complex systems actually evolve and operate. The book raises more questions than it answers, as it should be for a book of such originality and importance.
When you fully grok the contents of this book you'll be so excited you'll want to rush and explain it to someone else, which will be utterly impossible, so you'll probably have to lend them your book, buy them the popular version, or face the fact that you are now relatively alone on a higher plane.
Par Elias Fehrman
- Publié sur Amazon.com
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