Dynamical Systems in Social Psychology PDF Download
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Author: Robin R. Vallacher
Publisher: Academic Press
ISBN:
Category : Medical
Languages : en
Pages : 338
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Book Description
A dynamical system refers to a set of elements that interact in complex, often nonlinear ways to form coherent patterns. Because of the complexity of these interactions, the system as a whole may evolve over time in seemingly unpredictable ways as new patterns of behavior emerge. This metatheory has proven useful in understanding diverse phenomena in meteorology, population biology, statistical mechanics, economics, and cosmology. The book demonstrates how the dynamical systems perspective can be applied to theory construction and research in social psychology, and in doing so, provides fresh insight into such complex phenomena as interpersonal behavior, social relations, attitudes, and social cognition.
Author: Robin R. Vallacher
Publisher: Academic Press
ISBN:
Category : Medical
Languages : en
Pages : 338
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Book Description
A dynamical system refers to a set of elements that interact in complex, often nonlinear ways to form coherent patterns. Because of the complexity of these interactions, the system as a whole may evolve over time in seemingly unpredictable ways as new patterns of behavior emerge. This metatheory has proven useful in understanding diverse phenomena in meteorology, population biology, statistical mechanics, economics, and cosmology. The book demonstrates how the dynamical systems perspective can be applied to theory construction and research in social psychology, and in doing so, provides fresh insight into such complex phenomena as interpersonal behavior, social relations, attitudes, and social cognition.
Author: Andrzej Nowak
Publisher: Guilford Press
ISBN: 9781572303539
Category : Psychology
Languages : en
Pages : 338
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Book Description
Traditional approaches to social psychology have proven highly successful in identifying causal mechanisms underlying human thought and behavior. With the recent advent of the dynamical approach, it is now possible to assemble sets of such mechanisms into coherent systems. This book uses innovative concepts and tools to illuminate the processes by which individuals, groups, and societies evolve and change in a systemic, self-sustaining manner, at times seemingly independent of external influences. Readers learn how the dynamical approach facilitates novel predictions and insights into such social psychological phenomena as attitudes, social judgment, goal-directed behavior, attraction, and relationships. Featuring a wealth of charts and figures derived from original research and computer simulations, the volume is grounded in classic and contemporary theories of social psychology.
Author: Robin R. Vallacher
Publisher: Springer Science & Business Media
ISBN: 3642352804
Category : Social Science
Languages : en
Pages : 250
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Book Description
Conflict is inherent in virtually every aspect of human relations, from sport to parliamentary democracy, from fashion in the arts to paradigmatic challenges in the sciences, and from economic activity to intimate relationships. Yet, it can become among the most serious social problems humans face when it loses its constructive features and becomes protracted over time with no obvious means of resolution. This book addresses the subject of intractable social conflict from a new vantage point. Here, these types of conflict represent self-organizing phenomena, emerging quite naturally from the ongoing dynamics in human interaction at any scale—from the interpersonal to the international. Using the universal language and computational framework of nonlinear dynamical systems theory in combination with recent insights from social psychology, intractable conflict is understood as a system locked in special attractor states that constrain the thoughts and actions of the parties to the conflict. The emergence and maintenance of attractors for conflict can be described by means of formal models that incorporate the results of computer simulations, experiments, field research, and archival analyses. Multi-disciplinary research reflecting these approaches provides encouraging support for the dynamical systems perspective. Importantly, this text presents new views on conflict resolution. In contrast to traditional approaches that tend to focus on basic, short-lived cause-effect relations, the dynamical perspective emphasizes the temporal patterns and potential for emergence in destructive relations. Attractor deconstruction entails restoring complexity to a conflict scenario by isolating elements or changing the feedback loops among them. The creation of a latent attractor trades on the tendency toward multi-stability in dynamical systems and entails the consolidation of incongruent (positive) elements into a coherent structure. In the bifurcation scenario, factors are identified that can change the number and types of attractors in a conflict scenario. The implementation of these strategies may hold the key to unlocking intractable conflict, creating the potential for constructive social relations.
Author: Robin R. Vallacher
Publisher: Routledge
ISBN: 1351701673
Category : Psychology
Languages : en
Pages : 709
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Book Description
Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to specify social psychological processes in terms of formal rules that can be implemented and tested using the power of high speed computing technology and sophisticated software. This approach allows for previously infeasible investigations of the multi-dimensional nature of human experience as it unfolds in accordance with different temporal patterns on different timescales. In effect, the computational approach represents a rediscovery of the themes and ambitions that launched the field over a century ago. The book brings together social psychologists with varying topical interests who are taking the lead in this redirection of the field. Many present formal models that are implemented in computer simulations to test basic assumptions and investigate the emergence of higher-order properties; others develop models to fit the real-time evolution of people’s inner states, overt behavior, and social interactions. Collectively, the contributions illustrate how the methods and tools of the computational approach can investigate, and transform, the diverse landscape of social psychology.
Author: Stephen J. Guastello
Publisher: Cambridge University Press
ISBN: 1139867261
Category : Psychology
Languages : en
Pages : 1020
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Book Description
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.
Author: Jay Friedenberg
Publisher: Isce Publishing
ISBN:
Category : Education
Languages : en
Pages : 316
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Book Description
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.
Author: J. A. Scott Kelso
Publisher: MIT Press
ISBN: 9780262611312
Category : Medical
Languages : en
Pages : 368
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Book Description
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.
Author: Andrzej K. Nowak
Publisher: Springer Nature
ISBN: 3030306224
Category : Psychology
Languages : en
Pages : 89
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Book Description
This concise monograph introduces and examines social influence from the perspective of the so-called target, rather than from the source, thus providing for the first time a bidirectional account of this pervasive social phenomenon, further bridging simple micro-level dyadic interaction rules with macro-level properties of the (social) system. This integrative approach allows for advanced models of influence to be developed in both the social and natural sciences (e.g. social animals). In particular, when used to investigate emergent properties of social change, this approach shows that social transitions occur as “bubbles of new” in the “sea of old.” While in the traditional view influence is synonymous with achieving power and control over others, the present approach to social influence puts the emphasis on the target’s motives and strategies. Here, the target may actively seek out influence to help forge opinions and achieve guidance regarding courses of action. In this process, the target observes others, models their thought and behavior, and asks for information and opinions. In this broadened perspective, the processes of social influence enables those being influenced (the targets) to use the knowledge and processing capacity of influence sources to maximize their access to information, minimize their processing effort, while optimizing their own functioning and that of the social system in which they evolve. This short text addresses above all scientists interested in social influence in the fields of psychology, sociology, economy, marketing, and biology. However, also researchers interested in modeling social processes, especially opinion dynamics and social change, such as computer scientists, physicists and applied mathematicians will benefit from the insights provided.
Author: Ralf Engbert
Publisher: Springer Nature
ISBN: 3030672999
Category : Psychology
Languages : en
Pages : 158
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Book Description
The development of cognitive models is a key step in the challenging research program to advance our understanding of human cognition and behavior. Dynamical models represent a general and flexible approach to cognitive modeling. This introduction focuses on applications of stochastic processes and dynamical systems to model cognition. The dynamical approach is particularly useful to emphasize the strong link between experimental research (and its paradigms), data analysis, and mathematical models including their computer implementation for numerical simulation. Most of specific examples are from the domain of eye movement research, with concepts being applicable to a broad range of problems in cognitive modeling. The textbook aims at the graduate and/or advanced undergraduate level for students in Cognitive Science and related disciplines such as Psychology and Computer Science. Joint introduction of the theory of cognitive processes and mathematical models, their underlying mathematical concepts, numerical simulation, and analysis; The focus on eye movements provide a theoretically coherent, but very general application area; Computer code in R Programming Language for Statistical Computing is available for all examples, figures, and solutions to exercises.
Author: H.E. Fitzgerald
Publisher: Springer Science & Business Media
ISBN: 1461564409
Category : Psychology
Languages : en
Pages : 503
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Book Description
Drawing on sources from a wide range of disciplines, this first volume of a two volume tutorial on systems theory focuses on non-linear dynamical techniques for analysis of feedback processes, information flow, decision making, control theory, and modeling of human behavioral systems.
