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: 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: 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: Alan Bain
Publisher: R & L Education
ISBN:
Category : Education
Languages : en
Pages : 296
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Book Description
"The Self-Organizing School identifies nine next-generation reform targets and articulates theory and practice for achieving these goals. In doing so, a self-organized school sets a new benchmark for evaluating site-based data and examples of a process that turns theory into practice. This includes better ways to begin a reform process and understand the roles of technology and feedback in the teaching profession. The theory and practice described in the book are backed by more than 1,600 direct classroom observations, an 8-year study of student achievement, more than 12,000 student evaluations, and a 5-year study of teacher perspectives."--BOOK JACKET.
Author: John Bolender
Publisher: MIT Press
ISBN: 0262549131
Category : Philosophy
Languages : en
Pages : 205
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Book Description
A proposal that the basic mental models used to structure social interaction result from self-organization in brain activity. In The Self-Organizing Social Mind, John Bolender proposes a new explanation for the forms of social relations. He argues that the core of social-relational cognition exhibits beauty—in the physicist's sense of the word, associated with symmetry. Bolender describes a fundamental set of patterns in interpersonal cognition, which account for the resulting structures of social life in terms of their symmetries and the breaking of those symmetries. He further describes the symmetries of the four fundamental social relations as ordered in a nested series akin to what one finds in the formation of a snowflake or spiral galaxy. Symmetry breaking organizes the neural activity generating the cognitive models that structure our social relationships. Bolender's primary claim is that there exists a social pattern generator analogous to the central pattern generators associated with locomotion in many animal species. Spontaneous symmetry breaking structures the activity of the social pattern generator just as it does in central pattern generators. Bolender's hypothesis that relational cognition results from self-organization is entirely novel, distinct from other theories that describe sociality in terms of evolution or environment. It presents a picture of social-relational cognition as resembling something inorganic. In doing so it reveals deep connections among cognition, biology, and the inorganic world. One can go too far, he acknowledges, in taking a solely dynamical view of the mind; the mind's innate functional complexity must be due to natural selection. But this does not mean that every simple mental feature is the result of natural selection. By noting a descending symmetry subgroup chain at the core of relational cognition, Bolender takes the first step in an important investigation. Bradford Books imprint
Author: Teuvo Kohonen
Publisher: Springer Science & Business Media
ISBN: 3642976107
Category : Science
Languages : en
Pages : 372
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Book Description
The book we have at hand is the fourth monograph I wrote for Springer Verlag. The previous one named "Self-Organization and Associative Mem ory" (Springer Series in Information Sciences, Volume 8) came out in 1984. Since then the self-organizing neural-network algorithms called SOM and LVQ have become very popular, as can be seen from the many works re viewed in Chap. 9. The new results obtained in the past ten years or so have warranted a new monograph. Over these years I have also answered lots of questions; they have influenced the contents of the present book. I hope it would be of some interest and help to the readers if I now first very briefly describe the various phases that led to my present SOM research, and the reasons underlying each new step. I became interested in neural networks around 1960, but could not in terrupt my graduate studies in physics. After I was appointed Professor of Electronics in 1965, it still took some years to organize teaching at the uni versity. In 1968 - 69 I was on leave at the University of Washington, and D. Gabor had just published his convolution-correlation model of autoasso ciative memory. I noticed immediately that there was something not quite right about it: the capacity was very poor and the inherent noise and crosstalk were intolerable. In 1970 I therefore sugge~ted the auto associative correlation matrix memory model, at the same time as J.A. Anderson and K. Nakano.
Author: Heinz von Foerster
Publisher: Springer Science & Business Media
ISBN: 0387217223
Category : Computers
Languages : en
Pages : 364
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Book Description
In these ground-breaking essays, Heinz von Foerster discusses some of the fundamental principles that govern how we know the world and how we process the information from which we derive that knowledge. The author was one of the founders of the science of cybernetics.
Author: Sven A. Brueckner
Publisher: Springer
ISBN: 3540319018
Category : Computers
Languages : en
Pages : 309
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Book Description
Self-organisation, self-regulation, self-repair, and self-maintenance are promising conceptual approaches to deal with the ever increasing complexity of distributed interacting software and information handling systems. Self-organising applications are able to dynamically change their functionality and structure without direct user intervention to respond to changes in requirements and the environment. This book comprises revised and extended papers presented at the International Workshop on Engineering Self-Organising Applications, ESOA 2004, held in New York, NY, USA in July 2004 at AAMAS as well as invited papers from leading researchers. The papers are organized in topical sections on state of the art, synthesis and design methods, self-assembly and robots, stigmergy and related topics, and industrial applications.
Author: Donald Lawson Turcotte
Publisher: National Academies Press
ISBN: 0309082854
Category : Science
Languages : en
Pages : 367
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Book Description
Author: William E. Connolly
Publisher: Duke University Press
ISBN: 0822377160
Category : Political Science
Languages : en
Pages : 254
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Book Description
In The Fragility of Things, eminent theorist William E. Connolly focuses on several self-organizing ecologies that help to constitute our world. These interacting geological, biological, and climate systems, some of which harbor creative capacities, are depreciated by that brand of neoliberalism that confines self-organization to economic markets and equates the latter with impersonal rationality. Neoliberal practice thus fails to address the fragilities it exacerbates. Engaging a diverse range of thinkers, from Friedrich Hayek, Michel Foucault, Hesiod, and Immanuel Kant to Voltaire, Terrence Deacon, Friedrich Nietzsche, and Alfred North Whitehead, Connolly brings the sense of fragility alive as he rethinks the idea of freedom. Urging the Left not to abandon the state but to reclaim it, he also explores scales of politics below and beyond the state. The contemporary response to fragility requires a militant pluralist assemblage composed of those sharing affinities of spirituality across differences of creed, class, gender, sexual orientation, and ethnicity.
