Mechanisms of Animal Discrimination Learning

Mechanisms of Animal Discrimination Learning

Author: N. S. Sutherland

Publisher: Academic Press

Published: 2013-10-22

Total Pages: 574

ISBN-13: 1483258246

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Mechanisms of Animal Discrimination Learning provides a review of the field of animal discrimination learning, with discussions into other areas such as generalization, partial reinforcement, and some aspects of comparative psychology. This book elaborates the origins of continuity-noncontinuity controversy, analysis of attentional learning, Lashley and Wade's account of generalization, and evidence for a two-process analysis of the ORE. The reversal and nonreversal shifts, response unit hypothesis, inconsistent reinforcement and extinction of choice behavior, and aims and problems of comparative psychology are likewise described This text likewise covers the Zeaman and House model, Lovejoy's Model III, determinants of generalization gradients, cognitive dissonance hypothesis, and theoretical relevance of comparative psychology. This publication is a good source for biologists and researchers concerned with animal discrimination learning.


Animal Cognition

Animal Cognition

Author: H. L. Roitblat

Publisher: Psychology Press

Published: 2014-04-04

Total Pages: 699

ISBN-13: 131776904X

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First published in 1984. With this volume we initiate a series of books in comparative cognition and neuroscience. The presentations at the Harry Frank Guggenheim Conference, June 2-4, 1982, out of which the present volume grew, showed that this field of enquiry into cognitive functioning and its neural basis had reached maturity.


Adaptive Behavior and Learning

Adaptive Behavior and Learning

Author: J. E. R. Staddon

Publisher: Cambridge University Press

Published: 2016-03-10

Total Pages: 619

ISBN-13: 1107082471

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Summarizes the current state of both theoretical and experimental knowledge about learning in animals.


Encyclopedia of the Sciences of Learning

Encyclopedia of the Sciences of Learning

Author: Norbert M. Seel

Publisher: Springer Science & Business Media

Published: 2011-10-05

Total Pages: 3643

ISBN-13: 1441914277

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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.