Self-Organizing Complexity in Psychological Systems offers a contemporary perspective on the mind through a compilation of original chapters written by some of the leading researchers in the area of complexity theory. In each of the chapters, the authors attempt to use complexity theory to inform and in some cases reformulate existing theories of brain function (Freeman; Grigsby & Osuch), personality (Grigsby & Osuch), psychic organization and structure (Goldstein; Piers), human development (Demos), psychopathology (Palombo; Piers) and psychotherapeutic change (Palombo).

Self-Organizing Complexity in Psychological Systems offers a contemporary perspective on the mind through a compilation of original chapters written by some of the leading researchers in the area of complexity theory. In each of the chapters, the authors attempt to use complexity theory to inform and in some cases reformulate existing theories of brain function (Freeman; Grigsby & Osuch), personality (Grigsby & Osuch), psychic organization and structure (Goldstein; Piers), human development (Demos), psychopathology (Palombo; Piers) and psychotherapeutic change (Palombo).

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.

While many books have discussed methodological advances in nonlinear dynamical systems theory (NDS), this volume is unique in its focus on NDS's role in the development of psychological theory. After an introductory chapter covering the fundamentals of chaos, complexity and other nonlinear dynamics, subsequent chapters provide in-depth coverage of each of the specific topic areas in psychology. A concluding chapter takes stock of the field as a whole, evaluating important challenges for the immediate future. The chapters are written by experts in the use of NDS in each of their respective areas, including biological, cognitive, developmental, social, organizational and clinical psychology. Each chapter provides an in-depth examination of theoretical foundations and specific applications and a review of relevant methods. This edited collection represents the state of the art in NDS science across the disciplines of psychology.

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.

Complex systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. In this book I propose a methodology to aid engineers in the design and control of complex systems. This is based on the description of systems as self-organizing. Starting from the agent metaphor, the methodology proposes a conceptual framework and a series of steps to follow to find proper mechanisms that will promote elements to find solutions by actively interacting among themselves.

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.

Over the past several decades, the sciences have witnessed a significant paradigm shift. Our traditional notions of order, energy, causality and methodology have all been upended. A new set of views has arisen that enables us to better understand and examine the complexity of nature. In this perspective, behavior is nonlinear, order emerges spontaneously and responses are best understood as the movement of trajectories through multi-dimensional space. This book examines the role that dynamical systems, complexity science, networks, and fractals play in helping to explain the most difficult thing of all: ourselves.

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.

In this profound work, Vittorio Guidano expands upon his earlier seminal contributions on the application of cognitive and developmental principles to individuals struggling with various forms of psychopathology. Here, he fully develops the idea that individuals' experience, both positive and negative, are powerfully influenced by their personal ``psychological organizations.'Focusing primarily on the eating disorders, the phobias (with agoraphobia as the prototype) obsessive-compulsive patterns, and depression, Guidano illustrates how early developmental experiences and ongoing psychological processes may collude to perpetuate dysfunctional patterns and personal distress. The central and perhaps most exciting thesis in this new expression of Guidano's thinking is that the ``deep structure' or ``core organizing processes`` that constrain human psychological experience may be at the heart of successful intervention as well as the classical problems of resistance, relapse, and refractory behaviors. Guidano's contention is at once simple and powerful: those psychological processes involved in the development and maintenance of personal identity, or ``self' that should be the primary foci of research and intervention in psychological disorders. The meaning of Guidano's perspective for clinical practice is perhaps best expressed in the author's own words: ``Knowing the basic elements of the personal cognitive organization that underlie the pattern of disturbed behavior and emotions, the therapist can behave, from the beginning, in such a way as to build a relationship as effective as possible for that particular client. In other words, the therapist should be able to establish a relationship that respects the client's personal identity and systemic coherence and that, at the same time, does not confirm the basic pathogenic assumptions. For example, in working with agoraphobics, the therapist has to respect their self-images centered on the need to be in control. He/she can do this by avoiding any direct attack on their controlling attitudes and by leaving them a wide margin of control in the relationship. At the same time the therapist should avoid confirming their assumptions about the somatic origin of their emotional disturbances or about their inborn fragility. In short, the therapist who can anticipate the models of self and reality tacitly entertained by the client is surely better able to help the development of a cooperative and secure therapeutic relationship than the therapist who cannot make such anticipations. This timely and provocative volume offers exciting new ideas about how to conceptualize and facilitate change in the ``self system.' With the rare combination of his Renaissance intellect and integrative practical expertise, Guidano has been able to draw together many disparate themes from object relations theory, ego psychology, attachment theory, constructivist models of human cognition, and lifespan developmental psychology. It is must reading for the practicing professional, the helping apprentice, and anyone interested in glimpsing the cutting edge at the growing interface between cognitive and clinical science.