foreword by Hermann Haken For the past twenty years Scott Kelso's research has focused on extending the physical concepts of self- organization and the mathematical tools of nonlinear dynamics to understand how human beings (and human brains) perceive, intend, learn, control, and coordinate complex behaviors. In this book Kelso proposes a new, general framework within which to connect brain, mind, and behavior.Kelso's prescription for mental life breaks dramatically with the classical computational approach that is still the operative framework for many newer psychological and neurophysiological studies. His core thesis is that the creation and evolution of patterned behavior at all levels--from neurons to mind--is governed by the generic processes of self-organization. Both human brain and behavior are shown to exhibit features of pattern-forming dynamical systems, including multistability, abrupt phase transitions, crises, and intermittency. Dynamic Patterns brings together different aspects of this approach to the study of human behavior, using simple experimental examples and illustrations to convey essential concepts, strategies, and methods, with a minimum of mathematics. Kelso begins with a general account of dynamic pattern formation. He then takes up behavior, focusing initially on identifying pattern-forming instabilities in human sensorimotor coordination. Moving back and forth between theory and experiment, he establishes the notion that the same pattern-forming mechanisms apply regardless of the component parts involved (parts of the body, parts of the nervous system, parts of society) and the medium through which the parts are coupled. Finally, employing the latest techniques to observe spatiotemporal patterns of brain activity, Kelso shows that the human brain is fundamentally a pattern forming dynamical system, poised on the brink of instability. Self-organization thus underlies the cooperative action of neurons that produces human behavior in all its forms.
The six essays in this volume seek to uncover the dynamic patterns in verbal and pictorial images and to evaluate their potentialities and limitations.
Such phase transitions exist if the intrinsic dynamics (i.e. the limit ceno – 0 of (6)) are qualitatively ... For example, multiple patterns may be intrinsically stable, while only one-the required pattern—may be stable for large ceno.
An example of pattern recognition is classification, which attempts to assign each input value to one of a given set of ... In this book, we promote the systematic use of dynamic patterns as a way to guarantee delivery within required ...
This dazzling collection of 31 geometric patterns features kaleidoscopic designs, interlocked ovals, rectangular weaves, repeating stars, and other hypnotic illustrations.
Thus, the problem of dynamic pattern recognition in this situation lies in recognising clusters of typical system states based on static objects in order to detect and follow temporal changes of the cluster structure by adjusting the ...
While there is general acknowledgement that communication is a process rather than a condition, there has been little systematic examination of dynamic processes within communication studies. This volume examines...
This book will introduce you to how Dingbatz are constructed, and how to build from that basic structure to create designs uniquely your own.
Essentially, the book explores the concept of dynamic patterns in the physical sciences, in chemistry, and in biological systems; and it presents problems in continuous and discontinuous systems and in mixed systems.The work session was ...
Thus, this aptly named volume strives to develop new methods through the practice of ‘social synthesis’, describing a methodology that perceives societies and economies as manifestations of highly dynamic, interactive and emergent ...
By helping mothers and sons identify this dynamic and providing them with the tools to dismantle it, this book will change lives.