Originally published in 1978, this volume contains the evidence that is most crucial for our understanding the processes of forgetting and retention. Organized in terms of problem areas and issues that are particularly pertinent to understanding these processes, the book deals with both animal and human studies. The author begins by defining the topic and reviewing its historical development. A theoretical orientation follows, and then the author begins to address the major factors that determine what is, and what is not, remembered. Although we cannot yet specify the principles from which we can predict when an episode, once learned, will be remembered well or forgotten entirely, the author demonstrates that such principles are not that far away. He considers the issues that must be resolved before such principles are established, and in the course of doing so covers the major research on why we remember events and why they are forgotten.

‘Someday we expect that computers will be able to keep us informed about the news. People have imagined being able to ask their home computers questions such as "What’s going on in the world?"...’. Originally published in 1984, this book is a fascinating look at the world of memory and computers before the internet became the mainstream phenomenon it is today. It looks at the early development of a computer system that could keep us informed in a way that we now take for granted. Presenting a theory of remembering, based on human information processing, it begins to address many of the hard problems implicated in the quest to make computers remember. The book had two purposes in presenting this theory of remembering. First, to be used in implementing intelligent computer systems, including fact retrieval systems and intelligent systems in general. Any intelligent program needs to use and store and use a great deal of knowledge. The strategies and structures in the book were designed to be used for that purpose. Second, the theory attempts to explain how people’s memories work and makes predictions about the organization of human memory.

The book presents papers from the 7th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2022). The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on addressing the current challenges in the field. This book discusses key issues and highlights recent advances in a single broad topic applicable to different sub-fields by exploring various multidisciplinary technologies. This book supports the transfer of vital knowledge to next-generation researchers, students, and practitioners in academia and industry.

Dreaming is the cognitive state uniquely experienced by humans and integral to our creativity, the survival characteristic that allows for the rapid change and innovation that defines our species and provides the basis for our art, philosophy, science, and humanity. Yet there is little empiric or scientific evidence supporting the generally accepted dream-based theories of neuroconsciousness. Dream Science examines the cognitive science of dreaming and offers an evidence-based view of the phenomenon. Today, such evidence-based breakthroughs in the field of dream science are altering our understanding of consciousness. Different forms of dreaming consciousness occur throughout sleep, and dreamlike states extend into wake. Each dream state is developed on a framework of memories, emotions, representational images, and electrophysiology, amenable to studies utilizing emerging and evolving technology. Dream Science discusses basic insights into the scientific study of dreaming, including the limits to traditional Freudian-based dream theory and the more modern evidence-based science. It also includes coverage of the processes of memory and parasomnias, the sleep-disturbance diagnoses related to dreaming. This comprehensive book is a scientific exploration of the mind-brain interface and a look into the future of dream science. - Provides a more evidence-based approach than any other work on the market - Single source of integrated information on all aspects of dream science makes this a critical time-saving reference for researchers and clinicians - Authored by one of the leaders in the field of dream research

"This is a book about what the science of perception can tell us about visualization. There is a gold mine of information about how we see to be found in more than a century of work by vision researchers. The purpose of this book is to extract from that large body of research literature those design principles that apply to displaying information effectively"--

Already The Bestselling AP* Psychology Author, Myers Writes His First Exclusive AP* Psych Text Watch Dave G. Myers introduce this new text here. David G. Myers is best known for his top-selling college psychology texts, used successfully across North America in thousands of AP* courses. As effective as Myers’ college texts have been for the AP* course, we believe his new text will be even better, because Myers’ Psychology for AP* has been written especially for the AP* course!

In his latest book, Bainbridge combines an otherworldly journey through the central nervous system with an accessible and entertaining account of how the brain's anatomy has often misled anatomists about its function. Bainbridge uses the structure of the brain to set his book apart from the many volumes that focus on brain function.

Psychology of Learning and Motivation

This informative volume presents the first comprehensive review of research and theory on dual-process models of social information processing. These models distinguish between qualitatively different modes of information processing in making decisions and solving problems (e.g., associative versus rule-based, controlled versus uncontrolled, and affective versus cognitive modes). Leading contributors review the basic assumptions of these approaches and review the ways they have been applied and tested in such areas as attitudes, stereotyping, person perception, memory, and judgment. Also examined are the relationships between different sets of processing modes, the factors that determine their utilization, and how they work in combination to affect responses to social information.