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Self-Organization, Emerging Properties, and Learning

Self-Organization, Emerging Properties, and Learning
Author: Agnessa Babloyantz
Publisher: Springer Science & Business Media
Total Pages: 317
Release: 2012-12-06
Genre: Science
ISBN: 1461537789

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This volume contains the proceedings of the workshop held in March 1990 at Austin, Texas on Self-Organization, Emerging Properties and Learning. The workshop was co-sponsored by NATO Scientific Affairs Division, Solvay Institutes of Physics and Chemistry, the University of Texas at Austin and IC2 Institute at Austin. It gathered representatives from a large spectrum of scientific endeavour. The subject matter of self-organization extends over several fields such as hydrodynamics, chemistry, biology, neural networks and social sciences. Several key concepts are common to all these different disciplines. In general the self-organization processes in these fields are described in the framework of the nonlinear dynamics, which also governs the mechanisms underlying the learning processes. Because of this common language, it is expected that any progress in one area could benefit other fields, thus a beneficial cross fertilization may result. In last two decades many workshops and conferences had been organized in various specific fields dealing with self-organization and emerging properties of systems. The aim of the workshop in Austin was to bring together researchers from seemingly unrelated areas and interested in self-organization, emerg{ng properties and learning capabilities of interconnected multi-unit systems. The hope was to initiate interesting exchange and lively discussions. The expectations of the organiziers are materialized in this unusual collection of papers, which brings together in a single volume representative research from many related fields. Thus this volume gives to the reader a wider perspective over the generality and ramifications of the key concepts of self organization.


Self-Organizing Systems

Self-Organizing Systems
Author: F.Eugene Yates
Publisher: Springer Science & Business Media
Total Pages: 658
Release: 2012-12-06
Genre: Science
ISBN: 1461308836

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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.


Informal Coalitions

Informal Coalitions
Author: C. Rodgers
Publisher: Springer
Total Pages: 304
Release: 2006-10-10
Genre: Business & Economics
ISBN: 0230625215

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This book places everyday talk and role-modelling interactions at the forefront of an alternative change-leadership agenda, and introduces a number of practical approaches to help line managers and organizational specialists deliver this agenda more successfully. It is essential reading for organizational practitioners at all levels.


Guided Self-Organization: Inception

Guided Self-Organization: Inception
Author: Mikhail Prokopenko
Publisher: Springer Science & Business Media
Total Pages: 488
Release: 2013-12-19
Genre: Technology & Engineering
ISBN: 3642537340

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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.


Self-Organization in Biological Systems

Self-Organization in Biological Systems
Author: Scott Camazine
Publisher: Princeton University Press
Total Pages:
Release: 2020-05-26
Genre: Science
ISBN: 0691212929

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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:
Publisher: CRC Press
Total Pages: 1142
Release:
Genre:
ISBN: 1135439621

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Motor Control and Sensory-Motor Integration

Motor Control and Sensory-Motor Integration
Author: D.J. Glencross
Publisher: Elsevier
Total Pages: 462
Release: 1995-11-02
Genre: Psychology
ISBN: 0080537006

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This volume evolved from a workshop which addressed the general area of motor control, and the broader problems of serial organisation and sensory-motor integration of human skills. A number of specific issues are highlighted, including the neural mechanisms and disabilities of sensory-motor integration, planning and programming of action, the dynamics of interlimb coordination, amendment and updating mechanisms, and in particular, perception-action coupling and the representation of action. Underlying much of the volume are the major theoretical issues which include the debate between computational and prescriptive approaches versus the emergent properties and system dynamics approaches. The book represents a diverse approach from such disciplines as psychology, electrical and mechanical engineering, human movement studies, physiotherapy, neurology, and kinesiology.


The Routledge Companion to Music Cognition

The Routledge Companion to Music Cognition
Author: Richard Ashley
Publisher: Taylor & Francis
Total Pages: 590
Release: 2017-06-26
Genre: Art
ISBN: 1351761943

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WINNER OF THE SOCIETY OF MUSIC THEORY’S 2019 CITATION OF SPECIAL MERIT FOR MULTI-AUTHORED VOLUMES The Routledge Companion to Music Cognition addresses fundamental questions about the nature of music from a psychological perspective. Music cognition is presented as the field that investigates the psychological, physiological, and physical processes that allow music to take place, seeking to explain how and why music has such powerful and mysterious effects on us. This volume provides a comprehensive overview of research in music cognition, balancing accessibility with depth and sophistication. A diverse range of global scholars—music theorists, musicologists, pedagogues, neuroscientists, and psychologists—address the implications of music in everyday life while broadening the range of topics in music cognition research, deliberately seeking connections with the kinds of music and musical experiences that are meaningful to the population at large but are often overlooked in the study of music cognition. Such topics include: Music’s impact on physical and emotional health Music cognition in various genres Music cognition in diverse populations, including people with amusia and hearing impairment The relationship of music to learning and accomplishment in academics, sport, and recreation The broader sociological and anthropological uses of music Consisting of over forty essays, the volume is organized by five primary themes. The first section, "Music from the Air to the Brain," provides a neuroscientific and theoretical basis for the book. The next three sections are based on musical actions: "Hearing and Listening to Music," "Making and Using Music," and "Developing Musicality." The closing section, "Musical Meanings," returns to fundamental questions related to music’s meaning and significance, seen from historical and contemporary perspectives. The Routledge Companion to Music Cognition seeks to encourage readers to understand connections between the laboratory and the everyday in their musical lives.


Mathematical Approaches to Neural Networks

Mathematical Approaches to Neural Networks
Author: J.G. Taylor
Publisher: Elsevier
Total Pages: 391
Release: 1993-10-27
Genre: Computers
ISBN: 0080887392

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The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress being made in each approach is considerable. Nevertheless, both stand in need of a theoretical framework of explanation to underpin their usage and to allow the progress being made to be put on a firmer footing. This book aims to strengthen the foundations in its presentation of mathematical approaches to neural networks. It is through these that a suitable explanatory framework is expected to be found. The approaches span a broad range, from single neuron details to numerical analysis, functional analysis and dynamical systems theory. Each of these avenues provides its own insights into the way neural networks can be understood, both for artificial ones and simplified simulations. As a whole, the publication underlines the importance of the ever-deepening mathematical understanding of neural networks.