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with contributions by numerous experts
This book is the first to introduce the study of cognition in terms of the major conceptual themes that underlie virtually all the substantive topics.
This volume contains the Proceedings of an International Conference on Intelligence and Learning held at York University, England, on July 16-20, 1979. The conference was made possible with the support and assistance of the following agencies: NAT 0 Scientific Division, specifically the Human Factors panel, was the major sponsor of the conference. Special thanks are due to Dr. B. A. Bayraktar, who helped organize the conference. Special appreciation is also expressed for the support of the University of York where the conference was held, the University of Alberta, the University of California, Los Angeles, the Medical Research Council, especially its Developmental Psychology Research U nit in London, and the British Council. The conference was jointly directed by J. P. Das and N. 0' Connor. The directors appreciate the assistance in administrative matters of Patricia Chobater and Emma Collins of the University of Alberta. The Editors of the Proceedings acknowledge and appreciate the following individuals who assisted in the production of the volume at the University of California, Los Angeles: Francine Gray, Janet Koblen and Richard Russell. Special thanks go to Keith Felton, who prepared the final manuscript, and Carol Saro, who assisted the editors and prepared the indexes. Morton P. Friedman J. P. Das Neil O'Connor CONTENTS Section INTRODUCTION 1.
The Neuropsychology of Individual Differences: A Developmental Per spective was designed to sliIVey the complexities and subtleties of neu rologically based differences in human beings. By conceptualizing and presenting subject matter in a developmental sequence, we hoped to emphasize the inseparable union between the science of neuropsychology and the study of human behavior. Following a brief introductory chapter, the volume opens with chap ters concerning critical preliminary questions, such as establishing a foundation and rationale for a neuropsychological basis for individual differences and consideration of important methodological issues. It pro ceeds with discussions of the role of neuropsychology in the individual's efforts to organize the world via such basic means as perception and temperament. Three chapters follow that discuss individual differences in higher cortical functions: cognitive ability, language, and learning. Neuropsychological differences between the sexes and in the expression of psychopathological and neurological conditions comprise the topics for the next three chapters. The final topical chapter provides a discussion of rehabilitation of neurological disorders in children, and the volume concludes with a synthesis of all contributions.
Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.
This handbook introduces the reader to the thought-provoking research on the neural foundations of human intelligence. Written for undergraduate or graduate students, practitioners, and researchers in psychology, cognitive neuroscience, and related fields, the chapters summarize research emerging from the rapidly developing neuroscience literature on human intelligence. The volume focusses on theoretical innovation and recent advances in the measurement, modelling, and characterization of the neurobiology of intelligence differences, especially from brain imaging studies. It summarizes fundamental issues in the characterization and measurement of general intelligence, and surveys multidisciplinary research consortia and large-scale data repositories for the study of general intelligence. A systematic review of neuroimaging methods for studying intelligence is provided, including structural and diffusion-weighted MRI techniques, functional MRI methods, and spectroscopic imaging of metabolic markers of intelligence.
The idea of one's memory "filling up" is a humorous misconception of how memory in general is thought to work; it actually has no capacity limit. However, the idea of a "full brain" makes more sense with reference to working memory, which is the limited amount of information a person can hold temporarily in an especially accessible form for use in the completion of almost any challenging cognitive task. This groundbreaking book explains the evidence supporting Cowan's theoretical proposal about working memory capacity, and compares it to competing perspectives. Cognitive psychologists profoundly disagree on how working memory is limited: whether by the number of units that can be retained (and, if so, what kind of units and how many), the types of interfering material, the time that has elapsed, some combination of these mechanisms, or none of them. The book assesses these hypotheses and examines explanations of why capacity limits occur, including vivid biological, cognitive, and evolutionary accounts. The book concludes with a discussion of the practical importance of capacity limits in daily life. This 10th anniversary Classic Edition will continue to be accessible to a wide range of readers and serve as an invaluable reference for all memory researchers.
The book is concerned with the cognitive contributions to perception, that is, with the influence of attention, intention, or motor processes on performances in spatial and temporal tasks. The chapters deal with fundamental perceptual processes resulting from the simple localization of an object in space or from the temporal determination of an event within a series of events. Chapters are based on presentations given at the Symposium on the Cognitive Contributions to the Perception of Spatial and Temporal Events (September 7-9, 1998, Ohlstadt, Germany). Following each chapter are commentary pieces from other researchers in the field. At the meeting, contributors were encouraged to discuss their theoretical positions along with presenting empirical results and the book's commentary sections help to preserve the spirit and controversies of the symposium. The general topic of the book is split into three parts. Two sections are devoted to the perception of unimodal spatial and temporal events; and are accompanied by a third part on spatio-temporal processes in the domain of intermodal integration. The themes of the book are highly topical. There is a growing interest in studies both with healthy persons and with patients that focus on localization errors and dissociations in localizations resulting from different tasks. These errors lead to new concepts of how visual space is represented. Such deviations are not only observed in the spatial domain but in the temporal domain as well. Typical examples are errors in duration judgments or synchronization errors in tapping tasks. In addition, several studies indicate the influence of attention on both the timing and on the localization of dynamic events. Another intriguing question originates from well-known interactions between intermodal events, namely, whether these events are based on a single representation or whether different representations interact.
In the Handbook of Understanding and Measuring Intelligence distinguished scholars Oliver Wilhelm and Randall W. Engle have assembled a group of respected experts from two fields of intelligence research--cognition and methods--to summarize, review, and evaluate research in their areas of expertise. Each chapter presents the state-of-the-art in a particular domain of intelligence research, illustrating and highlighting important methodological considerations, theoretical claims, and pervasive problems in the field.