This book presents new leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.

This book presents leading-edge research on artificial life, cellular automata, chaos theory, cognition, complexity theory, synchronisation, fractals, genetic algorithms, information systems, metaphors, neural networks, non-linear dynamics, parallel computation and synergetics. The unifying feature of this research is the tie to chaos and complexity.

"Put together one of the world's best science writers with one of the universe's most fascinating subjects and you are bound to produce a wonderful book. . . . The subject of complexity is vital and controversial. This book is important and beautifully done."--Stephen Jay Gould
"[Complexity] is that curious mix of complication and organization that we find throughout the natural and human worlds: the workings of a cell, the structure of the brain, the behavior of the stock market, the shifts of political power. . . . It is time science . . . thinks about meaning as well as counting information. . . . This is the core of the complexity manifesto. Read it, think about it . . . but don't ignore it."--Ian Stewart, "Nature"
This second edition has been brought up to date with an essay entitled "On the Edge in the Business World" and an interview with John Holland, author of "Emergence: From Chaos to Order."

Chaos theory has firmly established itself in many of the physical sciences, such as geology and fluid dynamics. This edited volume helps locate this revolutionary theory in sociology as well as the other social sciences. Doors previously closed to social scientists may be opened by this dynamic theory, which attempts to capture movement and change in exciting new ways. Editors Raymond A. Eve, Sara Horsfall, and Mary Lee, with guidance from Editorial Advisor Frederick Turner, provide a timely and well-chosen collection of articles, which first examines the emerging myths and theories surrounding the study of chaos and complexity. In the volumeÆs second part, methodological matters are considered. Finally, conceptual models and applications are presented. "Postmodern science" has provided and refined conceptual tools that have special value for the social sciences. This perceptive and thorough volume will be useful to sociologists and other social scientists interested in chaos and complexity theory.

Chaos and catastrophe theories have become one of the major frontiers in the social sciences. Brown helps to clarify this complex new technique for modeling by approaching it with the following questions: What is Chaos? How can it be measured? How are the models estimated? What is catastrophe? How is it modeled? Beginning with an explanation of the differences between deterministic and probabilistic models, Brown introduces the reader to chaotic dynamics. Other topics covered are finding settings in which chaos can be measured, estimating chaos using nonlinear least squares, and specifying catastrophe models. Finally, the author estimates a nonlinear system of equations that models catastrophe using real survey data. Researchers wanting to understand and make use of this exciting new direction in social measurement and modeling will find this book an excellent and cogent introduction.

We are in the wake of chaos - trying to make sense of the news that the universe is a far more unpredictable place than anyone ever imagined. What began with the discovery of randomness in simple physical systems - a curl of smoke, a tumble of water - has exploded into a fascination with "chaotic" models of everything from brainwaves to business cycles. Why has chaos captured so much attention? What does it do to our basic beliefs about knowledge, meaning, and our place in a suddenly turbulent world? In this provocative book, Stephen Kellert takes the first sustained look at the broad intellectual implications of chaos. Like quantum mechanics and relativity before it, chaos has an irresistible appeal as a radical new vision of reality. But how solid are its claims? Has chaos been oversold? How far can the science of chaos take us? These are just some of the intriguing questions Kellert sets out to answer. Kellert describes the challenge of chaos to traditional science - from its power to thwart the search for universal laws to its unsettling effect on such essential concepts as fact and event, cause and control. And he paints a suggestive portrait of what knowledge - with science as its source - might have to be in order to account for the profoundly counterintuitive findings of chaos. This is also the story of the coming of age of a new science. Chaotic phenomena have been observed for ages, but only recently have scientists begun to study chaos systematically. Kellert points to the deep biases for order and control that have kept the study of chaos in the background. In today's culture, however, chaos flourishes as a powerful organizing principle for those seeking to expand theboundaries of the knowable and redefine what we mean by legitimate knowledge itself. Revealing glimpses of beauty and diversity in the most routine phenomena, of order within apparent disorder, chaos is neither the new toy of media-savvy scientists and their followers nor the mystical key to a new reality. It has already. changed the way science is done. How chaos will change what we know - and what we can know - of the physical world is the heart of this wise, witty, and illuminating book.

In Chaos and Cosmos, Heidi Scott integrates literary readings with contemporary ecological methods to investigate two essential and contrasting paradigms of nature that scientific ecology continues to debate: chaos and balance. Ecological literature of the Romantic and Victorian eras uses environmental chaos and the figure of the balanced microcosm as tropes essential to understanding natural patterns, and these eras were the first to reflect upon the ecological degradations of the Industrial Revolution. Chaos and Cosmos contends that the seed of imagination that would enable a scientist to study a lake as a microcosmic world at the formal, empirical level was sown by Romantic and Victorian poets who consciously drew a sphere around their perceptions in order to make sense of spots of time and place amid the globalizing modern world. This study’s interest goes beyond likening literary tropes to scientific aesthetics; it aims to theorize the interdisciplinary history of the concepts that underlie our scientific understanding of modern nature. Paradigmatic ecological ideas such as ecosystems, succession dynamics, punctuated equilibrium, and climate change are shown to have a literary foundation that preceded their status as theories in science. This book represents an elevation of the prospects of ecocriticism toward fully developed interdisciplinary potentials of literary ecology.

Honorable Mention, 1998, category of Computer Science, Professional/Scholarly Publishing Annual Awards Competition presented by the Association of American Publishers, Inc. In this book Gary William Flake develops in depth the simple idea that recurrent rules can produce rich and complicated behaviors. Distinguishing "agents" (e.g., molecules, cells, animals, and species) from their interactions (e.g., chemical reactions, immune system responses, sexual reproduction, and evolution), Flake argues that it is the computational properties of interactions that account for much of what we think of as "beautiful" and "interesting." From this basic thesis, Flake explores what he considers to be today's four most interesting computational topics: fractals, chaos, complex systems, and adaptation. Each of the book's parts can be read independently, enabling even the casual reader to understand and work with the basic equations and programs. Yet the parts are bound together by the theme of the computer as a laboratory and a metaphor for understanding the universe. The inspired reader will experiment further with the ideas presented to create fractal landscapes, chaotic systems, artificial life forms, genetic algorithms, and artificial neural networks.

This text demonstrates the roles of statistical methods, coordinate transformations, and mathematical analysis in mapping complex, unpredictable dynamical systems. Written by a well-known authority in the field, it employs practical examples and analogies, rather than theorems and proofs, to characterize the benefits and limitations of modeling tools. 1991 edition.

This text is one of the first to treat vector calculus using differential forms in place of vector fields and other outdated techniques. Geared towards students taking courses in multivariable calculus, this innovative book aims to make the subject more readily understandable. Differential forms unify and simplify the subject of multivariable calculus, and students who learn the subject as it is presented in this book should come away with a better conceptual understanding of it than those who learn using conventional methods.

This book is an in-depth and broad text on the subject of chaos in dynamical systems. It is intended to serve both as a graduate course text for science and engineering students, and as a reference and introduction to the subject for researchers in science and engineering needing to understand this important new subject.

http://www.worldscientific.com/worldscibooks/10.1142/0323

As the head of the theory group at Los Alamos, Hans A. Bethe played a central role in the dawn of the Nuclear Age. In the 50 years since, he has played an equally central role in the debate over the use and control of this new power. This volume collects together Bethe's best essays on the bomb, arms control, nuclear power and astrophysics. It also includes his reflections on science and morality and his comments on five fellow physicists. Of interest to physicists, particularly those working in nuclear physics and astrophysics, historians and philosophers of science, science policy makers, environmentalists, those concerned with disarmament and the role of science in society, and general science readers.

Recent findings in the computer sciences, discrete mathematics, formal logics and metamathematics have opened up a royal road for the investigation of undecidability and randomness in physics. A translation of these formal concepts yields a fresh look into diverse features of physical modelling such as quantum complementarity and the measurement problem, but also stipulates questions related to the necessity of the assumption of continua.Conversely, any computer may be perceived as a physical system: not only in the immediate sense of the physical properties of its hardware. Computers are a medium to virtual realities. The foreseeable importance of such virtual realities stimulates the investigation of an "inner description", a "virtual physics" of these universes of computation. Indeed, one may consider our own universe as just one particular realisation of an enormous number of virtual realities, most of them awaiting discovery.One motive of this book is the recognition that what is often referred to as "randomness" in physics might actually be a signature of undecidability for systems whose evolution is computable on a step-by-step basis. To give a flavour of the type of questions envisaged: Consider an arbitrary algorithmic system which is computable on a step-by-step basis. Then it is in general impossible to specify a second algorithmic procedure, including itself, which, by experimental input-output analysis, is capable of finding the deterministic law of the first system. But even if such a law is specified beforehand, it is in general impossible to predict the system behaviour in the "distant future". In other words: no "speedup" or "computational shortcut" is available. In this approach, classical paradoxes can be formally translated into no-go theorems concerning intrinsic physical perception.It is suggested that complementarity can be modelled by experiments on finite automata, where measurements of one observable of the automaton destroys the possibility to measure another observable of the same automaton and it vice versa.Besides undecidability, a great part of the book is dedicated to a formal definition of randomness and entropy measures based on algorithmic information theory.

This volume, the first of a two-volume book, consists of a collection of comprehensive reviews and lectures written by active researchers on topics in chaotic phenomena.

Using the theory of impulsive differential equations, this book focuses on mathematical models which reflect current research in biology, population dynamics, neural networks and economics. The authors provide the basic background from the fundamental theory and give a systematic exposition of recent results related to the qualitative analysis of impulsive mathematical models. Consisting of six chapters, the book presents many applicable techniques, making them available in a single source easily accessible to researchers interested in mathematical models and their applications. Serving as a valuable reference, this text is addressed to a wide audience of professionals, including mathematicians, applied researchers and practitioners.