The 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 provides a thoughtful integration of a body of work.

Key Features

@introbul:Key Features @bul:* Includes computational models of human learning * Provides contributions from ten leading researchers in the field * Contains interdisciplinary perspectives on perceptual learning * Synthesizes research from psychology and computer science * Focuses on the specific mechanisms that drive perceptual learning


Researchers and academics in cognitive science.

Table of Contents

R.L. Goldstone, P.G. Schyns, and D.L. Medin, Learning to Bridge Between Perception and Cognition. J. Hochberg, The Affordances of Perceptual Inquiry: Pictures are Learned from the World, and What that Fact Might Mean about Perception Quite Generally. R.M. Shiffrin and N. Lightfoot, Perceptual Learning of Alphanumeric-Like Characters. J. Tanaka and I. Gauthier, Expertise in Object and Face Recognition. P.D. Eimas, Infant Speech Perception: Processing Characteristics, Representational Units, and the Learning of Words. T. Regier, Constraints on the Learning of Spatial Terms: A Computational Investigation. L.B. Smith, M. Gasser, and C.M. Sandhofer, Learning to Talk About the Properties of Objects: A Network Model of the Development of Dimensions. R. Mikkulainen, J.A. Bednar, Y. Choe, and J. Sirosh, Self-Organization, Plasticity, and Low-level Visual Phenomena in a Laterally Connected Map Model of the Primary Visual Cortex. V.R. de Sa and D.H. Ballard, Perceptual Learning from a Cross-Modal Feedback. S. Edelman and N. Intrator, Learning as Extraction of Low-Dimensional Representations. Subject Index.


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© 1997
Academic Press
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@from:Praise for the Series @qu:"A remarkable number of landmark papers... An important collection of theory and data." @source:--Roberta L. Klatzky in CONTEMPORARY PSYCHOLOGY