State And Trait

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The Cambridge Handbook of Wisdom

Author: Robert J. Sternberg
language: en
Publisher: Cambridge University Press
Release Date: 2019-03-21
This is a comprehensive review of the psychological literature on wisdom by leading experts in the field. It covers the philosophical and sociocultural foundations of wisdom, and showcases the measurement and teaching of wisdom. The connection of wisdom to intelligence and personality is explained alongside its relationship with morality and ethics. It also explores the neurobiology of wisdom, its significance in medical decision-making, and wise leadership. How to develop wisdom is discussed and practical information is given about how to instil it in others. The book is accessible to a wide readership and includes virtually all of the major theories of wisdom, as well as the full range of research on wisdom as it is understood today. It takes both a basic-science and applied focus, making it useful to those seeking to understand wisdom scientifically, and to those who wish to apply their understanding of wisdom to their own work.
The Oxford Handbook of Psychological Situations

Author: John F. Rauthmann
language: en
Publisher: Oxford University Press
Release Date: 2020-07-01
Situations matter. They let people express their personalities and values; provoke motivations, emotions, and behaviors; and are the contexts in which people reason and act. The psychological assessment of situations is a new and rapidly developing area of research, particularly within the fields of personality and social psychology. This volume compiles state-of-the-art knowledge on psychological situations in chapters written by experts in their respective research areas. Bringing together historical reviews, theoretical pieces, methodological descriptions, and empirical applications, this volume is the definitive, go-to source for a psychology of situations.
Motivation, Effort, and the Neural Network Model

Author: Theodore Wasserman
language: en
Publisher: Springer Nature
Release Date: 2020-10-27
Our understanding of how the human brain operates and completes its essential tasks continues is fundamentally altered from what it was ten years ago. We have moved from an understanding based on the modularity of key structural components and their specialized functions to an almost diametrically opposed, highly integrated neural network model, based on a vertically organized brain dependent on small world hub principles. This new understanding completely changes how we understand essential psychological constructs such as motivation. Network modeling posits that motivation is a construct that describes a modified aspect of the operation of the human learning system that is specifically designed to cause a person to pursue a goal. Anthropologically and developmentally, these goals were initially basic, including things like food, shelter and reproduction. Over the course of time and development they develop into a complex web of extrinsic and then intrinsic goals, objectives and values. The core for all of this development is the inborn flight or fight reaction has been modified over time by a combination of inborn human temperamental characteristics and life experiences. This process of modification is, in part, based on the operation of a network based error-prediction network working in concert with the reward network to produce a system of ever evolving valuations of goals and objectives. These valuations are never truly fixed. They are constantly evolving, being modified and shaped by experience. The error prediction network and learning related networks work in concert with the limbic system to allow affect laden experiences to inform the process of valuation. These networks, operating in concert, produce a cognitive process we call motivation. Like most networks, the motivation system of networks is recruited when the task demands of the situation require them. Understanding motivation from this perspective has profound implications for many scientific disciplines in general and psychology in specific. Psychologically, this new understanding will alter how we understand client behavior in therapy and when being evaluated. This new understanding will provide direction for new therapeutic intervention for a variety of disorders of mental health. It will also inform testing practices concerning the evaluation of effort and malingering. This book is not a project in reductionism. It is the polar opposite. A neural network understanding of the operation of the human brain allows for the integration of what has come before into a comprehensive and integrated model. It will likely provide the basis for future research for years to come.