Psychology of Learning and Motivation 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 61 includes chapters on such varied topics as problems of Induction, motivated reasoning and rationality, probability matching, cognition in the attention economy, masked priming, motion extrapolation and testing memory
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Elsevier Science Publishing Co Inc
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Höhe: 229 mm
Breite: 152 mm
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ISBN-13
978-0-12-800283-4 (9780128002834)
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Schweitzer Klassifikation
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.
1. Descriptive and Inferential Problems of Induction: Toward a Common Framework
2. What Does it Mean to be Biased: Motivated Reasoning and Rationality
3. Probability Matching, Fast and Slow
4. Cognition in the Attention Economy
5. Memory Recruitment: A Backwards Idea about Masked Priming
6. Role of Knowledge in Motion Extrapolation: The Relevance of an Approach Contrasting Experts and Novices
7. Retrieval-Based Learning: An Episodic Context Account
8. Consequences of Testing Memory
