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Emotion, Development, and Self-Organization: Dynamic Systems Approaches to Emotional Development.

Allan Abbass
- Vol. 13, Iss: 2, pp 45-45
TLDR
In this article, the authors present a rich volume encompassing emotion theory and research with integration to clinical practice with heavy emphasis on emotion theory, including dynamic systems theory, non-linear dynamic, state space, chaos theory and variants of self-organization.
Abstract
Lewis, Granic and the several chapter authors have produced a rich volume encompassing emotion theory and research with integration to clinical practice. The book begins with a necessary introduction which defines several key terms one must grasp in order to follow the book with its heavy emphasis on emotion theory. These definitions include dynamic systems theory, non-linear dynamic, state space, chaos theory and variants of self-organization. The book is otherwise broken into 3 major sections. Intrapersonal processes focuses on internal working emotional systems and their development. Neurobiological processes focuses on the neurobiological equivalents of emotion and emotion development. Interpersonal processes elaborate, in detail, on the role of parent-child relationships, attachment, interpersonal dynamics and the role of marital relationships as a model. The various chapters take an in depth look at both recent and some more classical research findings. This is interwoven with new thinking of some of the brightest minds in this field today, The chapter on Marital Modelling for example blends theory to this (Washington University) group’s own research, to practical assessment and therapeutic instruments. To whet the theorist/researcher’s appetite, the chapter goes into a mathematical model describing the marital dyad. Finally, it concludes with eight hypotheses that this group is studying toward the development of an empirically based marital intervention. Such a chapter is bound to stir up other researchers’ competitive and collaborative instincts, resulting in the provocation of both thought and emotion. This book is definitely dense, and, despite its relative brevity, it is geared primarily for a subgroup of research based professionals and interested others. Regardless of this challenge, it is well worth the read as much more than a primer on this evolving and cutting-edge research and clinical area.

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Citations
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Cultivating Teachers' Morality and the Pedagogy of Emotional Rationality.

TL;DR: In this article, the role of emotion in moral reasoning in teacher education has been examined through the lens of dynamic systems theory, and empirical findings have been presented to inform and strengthen the cultivation of teachers' moral/ethical literacy.
Journal ArticleDOI

A dynamic systems view of habits

TL;DR: A variety of applications suggests that the scope of the dynamic approach overlaps significantly with the domain of habits, so that dynamic concepts could be used to challenge and refine the authors' conventional notions of habitual behavior.
Journal ArticleDOI

Towards a cognitive robotics methodology for reward-based decision-making: dynamical systems modelling of the Iowa Gambling Task

TL;DR: A cognitive robotics methodology is proposed to explore a dynamical systems approach as it applies to the neural computation of reward-based learning and issues concerning embodiment in light of a strongly emerging alternative hypothesis to the SMH, the reversal learning hypothesis.
Journal ArticleDOI

Affective dynamics in bipolar spectrum psychopathology: Modeling inertia, reactivity, variability, and instability in daily life.

TL;DR: Modeling affective dynamics may provide context-relevant information about the course and trajectory of bipolar spectrum psychopathology and should facilitate the use of experience sampling methodology to study and intervene in mood lability in patients with bipolar disorders.
Journal ArticleDOI

A dynamic systems perspective on social cognition, problematic behaviour, and intervention in adolescence

TL;DR: In this article, a dynamic systems view on social behavior in adolescence is discussed, where social behavior is defined as a self-organizing attractor landscape, based on a network of proximal (i.e., direct) causes.
References
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