Cognitive Motivation

This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike.

Organized around specific psychological disorders, this important work brings together leading scientist-practitioners to present strategies for maximizing the benefits of cognitive-behavioral therapy (CBT).

This edited volume brings together large-scale research as well as case studies from a range of geographical contexts and represents a variety of educational settings involving second language learners and users. Its aim is to explore the interrelated issues of psychology and technology use in second language learning settings as well as in more autonomous environments. As language learning professionals continue to devote more time and attention to making various technological tools an integral part of the classroom, it is just as important to understand the influences that these tools have on the psychological state of the learners who use them.

This innovative text sheds light on how people work – why they sometimes function well and, at other times, behave in ways that are self-defeating or destructive. The author presents her groundbreaking research on adaptive and maladaptive cognitive-motivational patterns and shows: