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Motivation, Emotion, and Goal Direction in Neural Networks

The articles gathered in this volume represent examples of a unique approach to the study of mental phenomena: a blend of theory and experiment, informed not just by easily measurable laboratory data but also by human introspection. Subjects such as approach and avoidance, desire and fear, and novelty and habit are studied as natural events that may not exactly correspond to, but at least correlate with, some (known or unknown) electrical and chemical events in the brain.

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this book explains how you learn, that our conscious experience before-trapping neural networks ‘generalization’ and ‘abstract’ from a stream of personal and cultural experiences to build our causality maps and models of reality, our value system and our emotional associations. It explores the strengths and weaknesses of human thinking and shows how to take conscious control of our personal development, renewal of old and dysfunctional models of reality, to take into account. . . more>>

Understanding Thinking: Maps Models Meanings Goals Motivation And Neural Networks

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