Psychology of Learning and Motivation, Volume 66, the latest release in this longstanding series publishes empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning, to complex learning and problem-solving.
Each chapter thoughtfully integrates the writings of leading contributors who present and discuss significant bodies of research relevant to their discipline. Volume 66 includes chapters on such varied topics as prospective memory, metacognitive information processing, basic memory processes during reading, working memory capacity, attention, perception and memory, short-term memory, language processing, and causal reasoning.
- Presents the latest information in the highly regarded Psychology of Learning and Motivation series
- Provides an essential reference for researchers and academics in cognitive science
- Contains information relevant to both applied concerns and basic research
About the Author
Brian H. Ross is a Professor of Psychology and of the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. His research areas have included problem solving, complex learning, categorization, reasoning, memory, and mathematical modeling. He has been funded by the National Science Foundation, the Air Force Office of Scientific Research, and the Institute of Education Sciences. Ross has been Editor-in-Chief of the journal Memory & Cognition, Chair of the Governing Board of the Psychonomic Society, and co-author of a textbook, Cognitive Psychology. He has held temporary leadership positions on the University of Illinois campus as Department Head of Psychology, Associate Dean of the Sciences, and Dean of Liberal Arts and Sciences. Ross has degrees from Brown University (B.S., Honors in Psychology), Rutgers University (M.S. in Mathematical Statistics), Yale University (M.S. in Psychology), and Stanford University (PhD.). Ross has been Editor of The Psychology of Learning and Motivation since 2000.
Table of Contents
1. Cracking the Problem of Inert Knowledge: Portable Strategies to Access Distant Analogs From Memory 2. The Complexities of Learning Categories Through Comparisons 3. Progress in Modeling Through Distributed Collaboration: Concepts, Tools and Category-Learning Examples 4. Replicability, Response Bias, and Judgments, Oh My! A New Checklist for Evaluating the Perceptual Nature of Action-Specific Effects 5. The Two Faces of Selective Memory Retrieval-Cognitive, Developmental, and Social Processes 6. Prospective Memory in Context 7. What Makes Everyday Scientific Reasoning So Challenging?