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Human Motivation, originally published in 1987, offers a broad overview of theory and research from the perspective of a distinguished psychologist whose creative empirical studies of human motives span forty years. David McClelland describes methods for measuring motives, the development of motives out of natural incentives and the relationship of motives to emotions, to values and to performance under a variety of conditions. He examines four major motive systems - achievement, power, affiliation and avoidance - reviewing and evaluating research on how these motive systems affect behaviour. Scientific understanding of motives and their interaction, he argues, contributes to understanding of such diverse and important phenomena as the rise and fall of civilisations, the underlying causes of war, the rate of economic development, the nature of leadership, the reasons for authoritarian or democratic governing styles, the determinants of success in management and the factors responsible for health and illness. Students and instructors alike will find this book an exciting and readable presentation of the psychology of human motivation.
This book presents up-to-date basic research in motivation and self-regulation and an overview of the field, with particular emphasis on issues such as change of motivation, effects of context and culture on motivation, relations of cognition and affect in motivation and self-regulation, and motivation in school, in sports, and in the aged.
Mainly concerned with First, Second and Third Fleets.
What makes people smarter than computers? These volumes by a pioneering neurocomputing group suggest that the answer lies in the massively parallel architecture of the human mind. They describe a new theory of cognition called connectionism that is challenging the idea of symbolic computation that has traditionally been at the center of debate in theoretical discussions about the mind. The authors' theory assumes the mind is composed of a great number of elementary units connected in a neural network. Mental processes are interactions between these units which excite and inhibit each other in parallel rather than sequential operations. In this context, knowledge can no longer be thought of as stored in localized structures; instead, it consists of the connections between pairs of units that are distributed throughout the network. Volume 1 lays the foundations of this exciting theory of parallel distributed processing, while Volume 2 applies it to a number of specific issues in cognitive science and neuroscience, with chapters describing models of aspects of perception, memory, language, and thought.