Reviews experiments and theories concerned with the relationship between perceptual and associative learning, and shows that even in apparently simple training procedures learning changes can occur in the way in which events are perceived.

This book brings together leading international learning and attention researchers to provide both a comprehensive and wide-ranging overview of the current state of knowledge of this area as well as new perspectives and directions for the future.

Traditional theories of associative learning have found no place for the possibility that the way in which events are perceived might change as a result of experience. Evidence for the reality of perceptual learning has come from those studied by learning theorists. The work reviewed in this book shows that learned changes in perceptual organization can in fact be demonstrated, even in experiments using procedures (such as conditioning and simple discrimination learning) of the type on which associative theories have been based. These results come from procedures that have been the focus of detailed theoretical and empirical analysis; and from this analysis emerges an outline of the mechanisms responsible. Some of these are themselves associative; others require the addition of nonassociative mechanisms to the traditional theory. The result is an extended version of associative theory which, it is argued, will be relevant not only to the experimental procedures discussed in this book but to the entire range of instances of perceptual learning.

Perceptual learning is the specific and relatively permanent modification of perception and behaviour following sensory experience. This book presents advances made during the 1990s in this rapidly growing field.

A comprehensive, multidisciplinary review, Neural Plasticity and Memory: From Genes to Brain Imaging provides an in-depth, up-to-date analysis of the study of the neurobiology of memory. Leading specialists share their scientific experience in the field, covering a wide range of topics where molecular, genetic, behavioral, and brain imaging techniq

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.

Animal Learning and Cognition: An Introduction provides an up-to-date review of the principal findings from more than a century of research into animal intelligence. This new edition has been expanded to take account of the many exciting developments that have occurred over the last ten years. The book opens with a historical survey of the methods that have been used to study animal intelligence, and follows by summarizing the contribution made by learning processes to intelligent behavior. Topics include Pavlovian and instrumental conditioning, discrimination learning, and categorization. The remainder of the book focuses on animal cognition and covers such topics as memory, navigation, social learning, language and communication, and knowledge representation. Expanded areas include extinction (to which an entire chapter is now devoted), navigation in insects, episodic memory in birds, imitation in birds and primates, and the debate about whether primates are aware of mental states in themselves and others. Issues raised throughout the book are reviewed in a concluding chapter that examines how intelligence is distributed throughout the animal kingdom. The broad spectrum of topics covered in this book ensures that it will be of interest to students of psychology, biology, zoology, and neuroscience. Since very little background knowledge is required, the book will be of equal value to anyone simply interested in either animal intelligence, or the animal origins of human intelligence. This textbook is accompanied by online instructor resources which are free of charge to departments who adopt this book as their text. They include chapter-by-chapter lecture slides, an interactive chapter-by-chapter multiple-choice question test bank, and multiple-choice questions in paper and pen format.

The Wiley Handbook on the Cognitive Neuroscience of Learning charts the evolution of associative analysis and the neuroscientific study of behavior as parallel approaches to understanding how the brain learns that both challenge and inform each other. Covers a broad range of topics while maintaining an overarching integrative approach Includes contributions from leading authorities in the fields of cognitive neuroscience, associative learning, and behavioral psychology Extends beyond the psychological study of learning to incorporate coverage of the latest developments in neuroscientific research

Categories of Human Learning covers the papers presented at the Symposium on the Psychology of Human Learning, held at the University of Michigan, Ann Arbor on January 31 and February 1, 1962. The book focuses on the different classifications of human learning. The selection first offers information on classical and operant conditioning and the categories of learning and the problem of definition. Discussions focus on classical and instrumental conditioning and the nature of reinforcement; comparability of the forms of human learning; conditioning experiments with human subjects; and subclasses of classical and instrumental conditioning. The text then takes a look at the representativeness of rote verbal learning and centrality of verbal learning. The publication ponders on probability learning, evaluation of stimulus sampling theory, and short-term memory and incidental learning. Topics include short-term retention, stimulus variation experiments, reinforcement schedules and mean response, systematic interpretations, and methodological approaches. The book then examines the behavioral effects of instruction to learning, verbalizations and concepts, and the generality of research on transfer functions. The selection is highly recommended for psychologists and educators wanting to conduct studies on the categories of human learning.