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Author: Scott Camazine
Publisher: Princeton University Press
ISBN: 0691212929
Category : Science
Languages : en
Pages : 548
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Book Description
The synchronized flashing of fireflies at night. The spiraling patterns of an aggregating slime mold. The anastomosing network of army-ant trails. The coordinated movements of a school of fish. Researchers are finding in such patterns--phenomena that have fascinated naturalists for centuries--a fertile new approach to understanding biological systems: the study of self-organization. This book, a primer on self-organization in biological systems for students and other enthusiasts, introduces readers to the basic concepts and tools for studying self-organization and then examines numerous examples of self-organization in the natural world. Self-organization refers to diverse pattern formation processes in the physical and biological world, from sand grains assembling into rippled dunes to cells combining to create highly structured tissues to individual insects working to create sophisticated societies. What these diverse systems hold in common is the proximate means by which they acquire order and structure. In self-organizing systems, pattern at the global level emerges solely from interactions among lower-level components. Remarkably, even very complex structures result from the iteration of surprisingly simple behaviors performed by individuals relying on only local information. This striking conclusion suggests important lines of inquiry: To what degree is environmental rather than individual complexity responsible for group complexity? To what extent have widely differing organisms adopted similar, convergent strategies of pattern formation? How, specifically, has natural selection determined the rules governing interactions within biological systems? Broad in scope, thorough yet accessible, this book is a self-contained introduction to self-organization and complexity in biology--a field of study at the forefront of life sciences research.
Author: Scott Camazine
Publisher: Princeton University Press
ISBN: 0691212929
Category : Science
Languages : en
Pages : 548
Get Book Here
Book Description
The synchronized flashing of fireflies at night. The spiraling patterns of an aggregating slime mold. The anastomosing network of army-ant trails. The coordinated movements of a school of fish. Researchers are finding in such patterns--phenomena that have fascinated naturalists for centuries--a fertile new approach to understanding biological systems: the study of self-organization. This book, a primer on self-organization in biological systems for students and other enthusiasts, introduces readers to the basic concepts and tools for studying self-organization and then examines numerous examples of self-organization in the natural world. Self-organization refers to diverse pattern formation processes in the physical and biological world, from sand grains assembling into rippled dunes to cells combining to create highly structured tissues to individual insects working to create sophisticated societies. What these diverse systems hold in common is the proximate means by which they acquire order and structure. In self-organizing systems, pattern at the global level emerges solely from interactions among lower-level components. Remarkably, even very complex structures result from the iteration of surprisingly simple behaviors performed by individuals relying on only local information. This striking conclusion suggests important lines of inquiry: To what degree is environmental rather than individual complexity responsible for group complexity? To what extent have widely differing organisms adopted similar, convergent strategies of pattern formation? How, specifically, has natural selection determined the rules governing interactions within biological systems? Broad in scope, thorough yet accessible, this book is a self-contained introduction to self-organization and complexity in biology--a field of study at the forefront of life sciences research.
Author: Paul Krugman
Publisher: John Wiley & Sons
ISBN: 1557866988
Category : Business & Economics
Languages : en
Pages : 133
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Book Description
The Self-Organizing Economy In the last few years the concept of self-organizing systems—complex systems in which randomness and chaos seem spontaneously to evolve into unexpected order—has linked together researchers in many fields, from artificial intelligence to chemistry, from evolution to geology. Now leading economist Paul Krugman shows how principles that explain the growth of hurricanes and embryos can also explain the formation of cities and business cycles; how the same principles of “order from random growth” can explain the strangely simple rules that describe the sizes of earthquakes, meteorites, and metropolitan areas. Weaving together strands from many disciplines, from location theory to biology, The Self-Organizing Economy offers a surprising new view of how the economy structures itself in space and time.
Author: F.Eugene Yates
Publisher: Springer Science & Business Media
ISBN: 1461308836
Category : Science
Languages : en
Pages : 658
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Book Description
Technological systems become organized by commands from outside, as when human intentions lead to the building of structures or machines. But many nat ural systems become structured by their own internal processes: these are the self organizing systems, and the emergence of order within them is a complex phe nomenon that intrigues scientists from all disciplines. Unfortunately, complexity is ill-defined. Global explanatory constructs, such as cybernetics or general sys tems theory, which were intended to cope with complexity, produced instead a grandiosity that has now, mercifully, run its course and died. Most of us have become wary of proposals for an "integrated, systems approach" to complex matters; yet we must come to grips with complexity some how. Now is a good time to reexamine complex systems to determine whether or not various scientific specialties can discover common principles or properties in them. If they do, then a fresh, multidisciplinary attack on the difficulties would be a valid scientific task. Believing that complexity is a proper scientific issue, and that self-organizing systems are the foremost example, R. Tomovic, Z. Damjanovic, and I arranged a conference (August 26-September 1, 1979) in Dubrovnik, Yugoslavia, to address self-organizing systems. We invited 30 participants from seven countries. Included were biologists, geologists, physicists, chemists, mathematicians, bio physicists, and control engineers. Participants were asked not to bring manu scripts, but, rather, to present positions on an assigned topic. Any writing would be done after the conference, when the writers could benefit from their experi ences there.
Author: Juval Portugali
Publisher: Springer Science & Business Media
ISBN: 3662040999
Category : Science
Languages : en
Pages : 359
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Book Description
This book integrates the theories of complex self-organizing systems with the rich body of discourse and literature developed in what might be called ‘social theory of cities and urbanism’. It uses techniques from dynamical complexity and synergetics to successfully tackle open social science questions.
Author: Ricard Solé
Publisher: Princeton University Press
ISBN: 140084293X
Category : Science
Languages : en
Pages : 392
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Book Description
Can physics be an appropriate framework for the understanding of ecological science? Most ecologists would probably agree that there is little relation between the complexity of natural ecosystems and the simplicity of any example derived from Newtonian physics. Though ecologists have long been interested in concepts originally developed by statistical physicists and later applied to explain everything from why stock markets crash to why rivers develop particular branching patterns, applying such concepts to ecosystems has remained a challenge. Self-Organization in Complex Ecosystems is the first book to clearly synthesize what we have learned about the usefulness of tools from statistical physics in ecology. Ricard Solé and Jordi Bascompte provide a comprehensive introduction to complex systems theory, and ask: do universal laws shape the structure of ecosystems, at least at some scales? They offer the most compelling array of theoretical evidence to date of the potential of nonlinear ecological interactions to generate nonrandom, self-organized patterns at all levels. Tackling classic ecological questions--from population dynamics to biodiversity to macroevolution--the book's novel presentation of theories and data shows the power of statistical physics and complexity in ecology. Self-Organization in Complex Ecosystems will be a staple resource for years to come for ecologists interested in complex systems theory as well as mathematicians and physicists interested in ecology.
Author: Pereira Junior Alfredo
Publisher: Routledge
ISBN: 0429880154
Category : Psychology
Languages : en
Pages : 249
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Book Description
Complex system studies are a growing area of central importance to a wide range of disciplines, ranging from physics to politics and beyond. Adopting this interdisciplinary approach, Systems, Self-Organisation and Information presents and discusses a range of ground-breaking research in complex systems theory. Building upon foundational concepts, the volume introduces a theory of Self-Organization, providing definitions of concepts including system, structure, organization, functionality, and boundary. Biophysical and cognitive approaches to Self-Organization are also covered, discussing the complex dynamics of living beings and the brain, and self-organized adaptation and learning in computational systems. The convergence of Peircean philosophy with the study of Self-Organization also provides an original pathway of research, which contributes to a dialogue between pragmatism, semeiotics, complexity theory, and self-organizing systems. As one of the few interdisciplinary works on systems theory, relating Self-Organization and Information Theory, Systems, Self-Organisation and Information is an invaluable resource for researchers and postgraduate students interested in complex systems theory from related disciplines including philosophy, physics, and engineering.
Author: Mikhail Prokopenko
Publisher: Springer Science & Business Media
ISBN: 3642537340
Category : Technology & Engineering
Languages : en
Pages : 488
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Book Description
Is it possible to guide the process of self-organisation towards specific patterns and outcomes? Wouldn’t this be self-contradictory? After all, a self-organising process assumes a transition into a more organised form, or towards a more structured functionality, in the absence of centralised control. Then how can we place the guiding elements so that they do not override rich choices potentially discoverable by an uncontrolled process? This book presents different approaches to resolving this paradox. In doing so, the presented studies address a broad range of phenomena, ranging from autopoietic systems to morphological computation, and from small-world networks to information cascades in swarms. A large variety of methods is employed, from spontaneous symmetry breaking to information dynamics to evolutionary algorithms, creating a rich spectrum reflecting this emerging field. Demonstrating several foundational theories and frameworks, as well as innovative practical implementations, Guided Self-Organisation: Inception, will be an invaluable tool for advanced students and researchers in a multiplicity of fields across computer science, physics and biology, including information theory, robotics, dynamical systems, graph theory, artificial life, multi-agent systems, theory of computation and machine learning.
Author: H. Ulrich
Publisher: Springer Science & Business Media
ISBN: 3642697623
Category : Science
Languages : en
Pages : 166
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Book Description
Self-organization of systems belonging to quite different discipl ines has been a central topic of synergetics since its beginning. I am therefore particularly plea sed that Hans Ulrich and Gilbert Probst have not only undertaken to organize an interdisciplinary meeting on Self-Organization and Management of Social Systems, but have also edited these articles written by leading scientists after and based upon that symposium. While the previous volumes of the Springer Series in Synergetics were mainly de voted to physical, chemical and biological systems, with only the book by W. Weidlich and G. Haag deal i ng with "Quant i tat i ve Soc i 01 ogy" (Spri nger Ser. Syn., Vo 1. 14), the present volume opens a new perspective. As the reader will notice, the multitude of facets of self-organization is well reflected by various authors belonging to different discipl ines and representing different schools of thought. When such a wide scope of fields - ranging from phy sics to sociology - is covered, it is not surprising that the existence of a "hiatus" between sociology and the natural sciences was felt by some participants.
Author: MONIKA. KOSTERA
Publisher: Mayflybooks/Ephemera
ISBN: 9781906948481
Category :
Languages : en
Pages : 358
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Book Description
We have been led to believe that the commons met their tragic fate because they were outdated and ineffective as a way of organizing human economic and social activity. However, this story only makes sense if we adopt a severely truncated understanding of being human, shorn of insights from psychology, sociology, or ecology. This book proposes organizational ideas and practices born out of the archetype of the commons, as well as tools reclaimed, renewed, and recycled from the vast repository of modern management models. Capitalism is failing and we need to find a better way to organize ourselves, more humanely as well as in accordance with the ecosystem.
Author: Irene Fast
Publisher: Routledge
ISBN: 1134891660
Category : Psychology
Languages : en
Pages : 191
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Book Description
In Selving: A Relational Theory of Self Organization, Irene Fast invokes the basic distinction between the self as "me" and the self as "I" in order to develop a contemporary theory of the self as subject. In a return to Freud's clinical finding that all psychological processes are personally motivated, she elaborates a notion of the "I-self" that is intrinsically dynamic and relational. Within this conception, our perceiving, thinking, feeling, and acting are not what our self does; rather, they are what our self is. According to Fast, the basic unit of the dynamic I-self --of selving --is a scheme of personally motivated interaction between self and nonself. This notion, which comprehends development (and developmental failure) as a product of integration and differentiation among discrete I-schemes, provides a radically new framework for understanding those dynamic phenomena that Freud included within his structural model of the mind and that contemporary theorists have addressed within object relational perspectives. Via the notion of selving, Fast likewise brings fresh insight to a host of issues that have engaged psychoanalysts and developmental psychologists in recent years. These topics include the place of bodily experience in a relational model of mind, the organization of self as simultaneously individual and relational, the formulation of a constructivist model of psychic structure, among others. Selving is not only a lucid demonstration of how a relational theory of self can reorder clinical observations in conceptually and therapeutically illuminating ways. It is also a convincing demonstration of how a constructivist model emphasizing the interactive nature of meaning-making provides bridges to Piagetian theory, developmental research, and observational infancy studies.
