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36 of 41 people found the following review helpful:
5.0 out of 5 stars
A little bit of everything, June 15, 1999
How do you file a book like "The Quark and the Jaguar?" I could file it with books discussing quantum physics. That would certainly be appropriate. Then, again, I could file it with books on evolution. That would be equally appropriate. But then I might decide to file it in the section on public policy toward the environment, and environmental protection. Certainly, that is an appropriate place for this book. But wait. It also belongs in the section dealing with artificial intelligence and complex adaptive systems. So, where would you put it? I'm still not sure.Murray Gell-Mann's "The Quark and the Jaguar" takes us on a whirlwind tour from the "simple" construct of quantum physics to the complex adaptive system in a coat of spots moving stealthily through the forest in search of game. Through all this, Gell-Mann ties the entire tapestry into the unifying concepts of complex adaptive systems leaving the reader in awe at the wonder and complexity that arises from the natural evolutionary processes governing the universe in which we live. The book is organized in four parts. The first is a general-purpose section that discusses everything from information theory to the scientific method and the power of scientific theories. It's always a pleasure to read a description of science and the scientific method from a leading scientist such as Gell-Mann. The sections dealing with falsifiability, selection pressure on the scientific enterprise, unifying characteristics of scientific theories, and the power of theory give a clear and illuminating explanation of the essence of science. The second part of the book deals with quantum physics. Here you will find Gell-Mann's own story about the (theoretical) discovery of the quark and how it fits into the standard model. Gell-Mann's discussion about the standard model is among the clearest I've seen for the general reader. I found his explanation of all the so-called quantum paradoxes especially well done. From the standard model Gell-Mann explains some of the ideas within superstring theory and the hope that this may provide the unification of physics that has been anticipated for so long. I always hesitate to differ with anyone of Gell-Mann's stature. Especially in public. It invariably leads to embarrassment. Still, I'm just as loath to read a book and find myself in complete agreement with all its points. On the subject of complexity I found myself out of sorts with the trend followed by Gell-Mann. He begins by describing complexity as algorithmic complexity. This is essentially the length of the shortest binary code that can describe the phenomena. Gell-Mann then points out some rather obvious deficiencies with this definition. For example, it is a maximum for a completely random string of bits, yet we don't typically associate complexity with randomness. From there Gell-Mann takes us to something he calls effective complexity. Yet Gell-Mann laments that this still seems inadequate because it would use the genomes of living things to assess their effective complexity, yet we know (or do we?) that humans are far more complex than apes, even though we share well over 90% of our genetic code. This apparent desire leads eventually to something Gell-Mann calls "potential complexity." Now, I cannot argue specifically against these definitions. They seem perfectly intuitive and obvious. Still, I cannot shake the feeling that I'm seeing the same process that led scientists in the 19'Th century to define characteristics for the human skull that led to conclusions that whites were more intelligent than blacks. The entire scheme was ultimately based on subconsciously working toward a desired conclusion by manipulating definitions. Are we more complex than apes? I'm not so sure. Especially when one considers the next effect of humanity on the earth. True, for what it's worth we have an extensive and (is it really?) complex culture. Then again, we are the cause of the greatest mass extinction since the K/T boundary. If you add it all up, I wonder if we really are responsible for more complexity than random destruction. Sections three and four differ fundamentally from the first two parts. The first two parts deal with what Gell-Mann would call simple systems. Things like quantum physics and the general theory of relativity. The really complicated stuff is in biology. Part three deals with that and more, including general discussions about how complex adaptive systems learn. I found the part on creative learning especially interesting. This section purports to explain how to enhance one's ability to think creatively. The section is only ˝ page long. Interestingly, creative thinking correlates with what often appears to be random thought processes. I couldn't help wondering about the conclusions regarding algebraic complexity and randomness. The book ends with section four, which is really Gell-Mann's views on various social issues, particularly those associated with the environment. I could not help wishing, as I read these last few pages, that our species could not have a few more men like Gell-Mann. What a difference it would make if his level of intellect, honesty, compassion, and logic could be brought to focus on more issues. It left me with a renewed determination to follow his lead in doing more to preserve biodiversity on earth for the earth, and for future generations. If you find wonder in the world, and excitement in a journey of discovery, then I recommend Gell-Mann's book wholeheartedly. Duwayne Anderson
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