The Psychology of Learning and Motivation 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 51 includes chapters on such varied topics as emotion and memory interference, electrophysiology, mathematical cognition, and reader participation in narrative.
- Volume 54 of the highly regarded Psychology of Learning and Motivation series
- An essential reference for researchers and academics in cognitive science
- Relevant to both applied concerns and basic research
- Hierarchical control of cognitive processes: The case for skilled typewriting Gordon D. Logan and Matthew J. C. Crump
- Cognitive Distraction while Multi-tasking in the Automobile David L. Strayer, Jason M. Watson and Frank A. Drews
- Psychological research on joint action: Theory and data Günther Knoblich, Stephen Butterfill, & Natalie Sebanz
- Self-regulated Learning and the Allocation of Study Time John Dunlosky & Robert Ariel
- The Development of Categorization Vladimir M. Sloutsky and Anna V. Fisher
- Systems of category learning: fact or fantasy? Ben R. Newell, John C. Dunn, Michael Kalish
- Abstract Concepts: Sensory-motor Grounding, Metaphors, and Beyond Diane Pecher, Inge Boot, & Saskia Van Dantzig
- Thematic thinking: The apprehension and consequences of thematic relations Zachary Estes, Sabrina Golonka, and Lara L. Jones
Brian Ross received his Ph.D. from Stanford University in 1982. He is a professor in the UIUC Department of Psychology and a full-time faculty member in the Beckman Institute Cognitive Science Group. His fields of professional interest are cognitive psychology, human memory and learning, problem solving, acquisition of cognitive skills, remindings in learning and problem solving, and concepts and categories. Honors and awards: Arnold O. Beckman Research Award (1991, 1982); Beckman Fellow, UIUC Center for Advanced Study (1985-86); Sigma Xi.