Cognitive Models Of Memory
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Author | : Martin A. Conway |
Publisher | : MIT Press |
Total Pages | : 390 |
Release | : 1997 |
Genre | : Mathematics |
ISBN | : 9780262531481 |
The chapters of this volume evaluate models of the short-term retention of knowledge, conceptual knowledge, autobiographical knowledge, transitory mental representations, the neurobiological basis of memory, and age-related changes in human memory.
Author | : Thad A. Polk |
Publisher | : MIT Press |
Total Pages | : 1300 |
Release | : 2002 |
Genre | : Psychology |
ISBN | : 9780262661164 |
A comprehensive introduction to the computational modeling of human cognition.
Author | : Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations |
Publisher | : National Academies Press |
Total Pages | : 433 |
Release | : 1998-08-14 |
Genre | : Business & Economics |
ISBN | : 0309523893 |
Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior.
Author | : Akira Miyake |
Publisher | : Cambridge University Press |
Total Pages | : 532 |
Release | : 1999-04-13 |
Genre | : Computers |
ISBN | : 9780521587211 |
This volume offers a much-needed forum for comparing and contrasting existing models of working memory.
Author | : Jerome R. Busemeyer |
Publisher | : SAGE |
Total Pages | : 225 |
Release | : 2010 |
Genre | : Psychology |
ISBN | : 0761924507 |
Responding to an explosion of new mathematical and computational models used in the fields of cognitive science, this book provides simple tutorials concerning the development and testing of such models. The authors focus on a few key models, with a primary goal of equipping readers with the fundamental principles, methods, and tools necessary for evaluating and testing any type of model encountered in the field of cognitive science.
Author | : Jerome R. Busemeyer |
Publisher | : |
Total Pages | : 425 |
Release | : 2015 |
Genre | : Psychology |
ISBN | : 0199957991 |
This Oxford Handbook offers a comprehensive and authoritative review of important developments in computational and mathematical psychology. With chapters written by leading scientists across a variety of subdisciplines, it examines the field's influence on related research areas such as cognitive psychology, developmental psychology, clinical psychology, and neuroscience. The Handbook emphasizes examples and applications of the latest research, and will appeal to readers possessing various levels of modeling experience. The Oxford Handbook of Computational and mathematical Psychology covers the key developments in elementary cognitive mechanisms (signal detection, information processing, reinforcement learning), basic cognitive skills (perceptual judgment, categorization, episodic memory), higher-level cognition (Bayesian cognition, decision making, semantic memory, shape perception), modeling tools (Bayesian estimation and other new model comparison methods), and emerging new directions in computation and mathematical psychology (neurocognitive modeling, applications to clinical psychology, quantum cognition). The Handbook would make an ideal graduate-level textbook for courses in computational and mathematical psychology. Readers ranging from advanced undergraduates to experienced faculty members and researchers in virtually any area of psychology--including cognitive science and related social and behavioral sciences such as consumer behavior and communication--will find the text useful.
Author | : Keith Frankish |
Publisher | : Cambridge University Press |
Total Pages | : 349 |
Release | : 2012-07-19 |
Genre | : Philosophy |
ISBN | : 0521691907 |
An authoritative, up-to-date survey of the state of the art in cognitive science, written for non-specialists.
Author | : Giuseppe Vallar |
Publisher | : Cambridge University Press |
Total Pages | : 540 |
Release | : 2007-09-21 |
Genre | : Medical |
ISBN | : 9780521042758 |
This work summarizes the current state of empirical and theoretical work on impairments of short-term memory (often caused by damage in the left cerebral hemisphere) and contains chapters from virtually every scientist in Europe and North America working on the problem. The chapters present evidence from both normal and brain-damaged patients, providing a comprehensive view of the functional characteristics of auditory-verbal short-term memory and its neurobiological correlates. Two neuropsychological issues are discussed in detail: the specific patterns of immediate memory impairment resulting from brain damage, with reference to both multi-store and the interactive-activation theoretical frameworks, and the relation between verbal STM and sentence comprehension disorders in patients with a defective immediate auditory memory, an area of major controversy in recent years.
Author | : Stephan Lewandowsky |
Publisher | : SAGE |
Total Pages | : 377 |
Release | : 2010-11-29 |
Genre | : Psychology |
ISBN | : 1452236194 |
An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports, and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other.
Author | : Norbert M. Seel |
Publisher | : Springer Science & Business Media |
Total Pages | : 3643 |
Release | : 2011-10-05 |
Genre | : Education |
ISBN | : 1441914277 |
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.