Product Description

"Outstanding... Signs of Life is a carefully crafted, readily understandable, and wise book. Biologists, chemists, physicists, and a wide audience will read it with delight and intellectual profit." --Stuart Kauffman, author of At Home in the Universe.

Signs of Life applies the mathematics of order and disorder, of entropy, chance, and randomness, of chaos and nonlinear dynamics to the various mysteries of the living world at all levels. This book is an entirely new approach to understanding living systems and will help set the agenda for biology in the coming century.

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Product Details

• Amazon Sales Rank: #282016 in Books
• Published on: 2002-01-03
• Original language: English
• Binding: Paperback
• 336 pages

From Amazon.co.uk
Deep down, we all know that living things are profoundly weird. Santa Fe Institute scientists Ricard Solé and Brian Goodwin show us the truth in Signs of Life: How Complexity Pervades Biology. Chaos theory and the life sciences are a natural combination but it's still a wonder how fresh and intuitive the material is in their able hands. Copiously illustrated with drawings, tables and photographs enriching the text, the book will appeal to all sophisticated readers with an interest in the larger themes of biology--evolution, development and inheritance are major players. The authors have carefully segregated the toughest math in sidebars, but the main body of text is still not for the fainthearted. Chaos and complexity is innately math-heavy, and hardcore math-phobes will have to make do with skimming; still, even the innumerate will find the prose charming and engaging:

The idea that a random event can change history has been a great source of inspiration for both scientists and writers alike. We live in a universe with strong laws and much contingency. In our search for the laws of complexity we often find islands of randomness in an ocean of regularity, like the island of trickery, home of games and gambling, found by the travellers in Gargantua and Pantagruel.

With writing like this interleaved between the tables and formulae, the reader finds it easier to stay on track and the rewards of improved understanding are exquisite. Sole and Goodwin nimbly present a necessarily complex subject to a wide audience; Signs of Life ought to become a classic among the scientifically literate. --Rob Lightner

Stuart Pimm,
"All life is here, its story told by two of the most brilliant researchers in rapidly emerging science of complexity."

Stuart Kauffman, author of _Investigations_
". . . an outstanding book.. . .Biologists, chemists, physicists, and a wide audience will read it with delight and intellectual profit."

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Customer Reviews

How all the explanatory parts don't explain the whole
This book is filled with chapter after chapter of 'gee-whiz' factoids and equations about some interesting attempts to make some scientific sense out of the nature of biological systems. All the appropriate buzzwords: 'complexity', 'emergence', 'chaos', 'neural nets', 'fractals', and so on are amply represented. As a compilation or overview of the research efforts into these various areas, this book succeeds reasonably well. For this, it gets three stars.

They explain to us in the Preface, "The consistent theme that runs throughout...is the understanding of biological processes in terms of complex dynamics from which emerge characteristic patterns of order. The objective is to show how scientists are thinking in this area and what tools are available for understanding the creative process."

But, there is no concluding chapter, no summarization, no binding coherence beyond some vague sense of it all being somehow complex stuff, from ant colonies to brains to stock markets. All the different chapters convey their different messages and that is that. It all sounds important, highly scientific, cutting-edge, and intriguing. Gee, isn't it all amazing?

When it is all said and done, however, there is very little about biological systems that is actually explained by all these sexy topics.

An unintentional byproduct of this overview - what is most glaringly apparent when the dust settles and the mind clears - is the feebleness of all these efforts in making much of a dent in understanding life to any serious degree. And I think if there is one lesson to be taken away from this book, it ought to be that. For that feebleness makes a deep statement about the cogency of the application of the types of modalities presented to the problem of life, and about the notion of 'emergence' in general as being a computational problem.

Order for free
If you've ever been in a traffic jam, chances are, you've also engaged in a coordinated, complicated activity with other drivers - without even knowing about it. They are called traffic density waves. How can that be? How can you engage in large-scale behavior and not know it? It happens because of emergent behavior that results from simple algorithms in our driving. It happens to you, just like it happens to ants, bees, and termites. These simple rules result in unexpected, large-scale order. It's what Sole and Goodwin would call "order for free."

Sole and Goodwin begin with one of the best introductory summaries that I've seen of simple chaotic behavior in nonlinear systems. The interesting thing about these systems is the way in which complicated behavior results from repetition and feedback using simple rules.

Later descriptions of biological systems carry this theme forward, and constitute some of the most interesting reading in this book. For example, in the chapter on "Ants, Brains, and Chaos," the authors describe a model that simulates the raiding patterns of army ants. Observing these insects from a distance, one might be inclined to wonder at the appearance of a higher purposeful component to the movement of colony. With simulations, however, the authors have argued convincingly that the basic patterns seen in the foraging of army ants result from relatively simple algorithms built into the individual insects. These simple algorithms, at the individual level, result in large-scale behavior that has no obvious causal connection to the algorithms that are their cause.

A similar chapter on the human brain helps us see that our own intelligence is most likely the amazing consequence of emergent behavior resulting from the interconnections and interactions of an unimaginable number of connected neurons in our brains. As such, it begins to make sense that what we call "ourselves" is really an emergent property of cells that is as unrelated to individual members as the marauding patterns of army ants is to the simple algorithms operating on the level of individual insects.

Yet another fascinating example from the insect world is that of mound-building termites and nest-building wasps like those that infest my barn each year. Again, with computer simulations, the authors illustrate that beautiful wasp-like nests can be created using automata with simple algorithms that belie the complexity of the structures that emerge from groups operating under simple rules.

After reading page after page of examples, one begins to get the sense that self organization is a rule of nature. It seems to be everywhere - almost to the degree that we might marvel when it does not appear. This, I believe, is one of the underlying messages in "Signs of Life:" That the order and complexity we perceive is actually the result of simpler algorithms operating in (mostly nonlinear) systems with feedback. That there is a broad range of emergent properties that can, and often do, result from such systems. The authors also argue against the idea that all this complexity is directly encoded in the DNA of organisms. Instead, the organism must encode only the simpler rules of engagement (rules like: 1. smell a pheromone? 2. Dropt the dung) and that the complexity results as "order for fee" through the naturally occurring emergent property of nonlinear systems.

Later chapters describe life as being an emergent property on the edge of chaos. There is lots of interesting information here, relating to evolutionary biology and describing how "the edge of chaos" facilitates evolution, and can result in wildly unpredictable outcomes. This part of the book also has worrisome implications for public policy. For example, here in Oregon, the Federal administration recently decided that too much analysis was going into wildlife management. So they decided to cut through the red tape, ignore biologists, and limit water flows in the Lower Klamath drainage basin.

Sole and Goodwin would argue that complex biological systems are very complex, and that their response to sudden changes in conditions can result in wildly unpredictable outcomes. We saw that here in Oregon, recently, as tens of thousands of fish died. Biologists attribute this disaster to parasites that live naturally in the water at all times. However, the lowered flows, and higher temperatures, in the river stressed the fish and pushed them closer together. The weakened fish were subsequently more prone to infection, and the closer proximity facilitated dispersal of the disease. The population reached a subsequent threshold where an epidemic ensued, killing a significant fraction of the fish, and putting people's lives in turmoil who depended on the fish for their livelihoods.

This example illustrates the problems and dangers inherent in managing wildlife populations. Though bearcats may yearn for simple solutions, these systems are, in fact, complex. Simplistic thinking and/or the inability to engage in sophisticated modeling and prediction can result in disasters. This is as true for the Klamath River basin as it is for Earth's climate and the likely effects of widespread pollution from gases that trap heat near the earth, and raise the global temperature.

This is not an easy book to read. It has many equations, and much of the mathematics is non-trivial and involves concepts from nonlinear systems that many readers may not be familiar with. Other terminology in the book is equally aimed at people who already have some exposure to the science at hand. I hope that does not dissuade you. Often, the mathematical details can be skipped (though you will miss some of the most interesting stuff that way). And a dictionary can help you with unfamiliar terminology. Just be aware that this book will demand more of your intellectual capacity than the typical science book that's been written for the arm-chair scientists. But I think it's worth it. I certainly enjoyed it.

Excellent source of information...
This is what overviews of scientific fields of research should be like. The book begins in a gentle manner with an introduction into non-linearity, chaos and complexity. Many somewhat detailed technical steps are shown in text boxes and there are many illustrations to try to convey the information to a casual reader.

In fact, this book bridges the gap between general overviews (something like Gleick's "Chaos") and much more scholarly presentations ("Complexity : Metaphors, Models, and Reality"). I suspect some non-technical readers won't make it very far but that is more likely due to the fact that they spend too much time on things they don't understand. Many important aspects of complex adaptive systems in biology are reviewed using many different examples. Both theoretical and real-life examples are typically used to help make the point.

It is evident that the authors not only really understand the subject, they are also passionate and have excellent writing skills. Kauffmann is cited frequently but I suspect that most who have read "Investigations" will likely get a much better idea of his thesis when they read this book.

The only minor point: why no commentary on where we appear to be rushing? Or better yet, why nothing about the philosophical implications of complexity? Perhaps the authors wanted to keep this book as non-controversial as possible and thereby potentially have it as an "official" reference but I cannot see why people should be upset by drawing some conclusions. Unless, of course, it is simply because some of the conclusions are so scary.

This book should be standard reading!