[PDF] From Learning Theory To Connectionist Theory eBook

Author : Alice F. Healy
Publisher : Psychology Press
Page : 296 pages
File Size : 24,50 MB
Release : 1992
Category : Education
ISBN : 9780805810981

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First Published in 1992. Routledge is an imprint of Taylor & Francis, an informa company.

Author : Alice F. Healy
Publisher : Psychology Press
Page : 296 pages
File Size : 11,28 MB
Release : 2013-04-15
Category : Psychology
ISBN : 1134768257

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These two volumes consist of chapters written by students and colleagues of W.K. Estes. The books' contributors -- themselves eminent figures in the field -- reflect on Estes' sweeping contributions to mathematical as well as cognitive and experimental psychology. As indicated by their titles, Volume I features mathematical and theoretical essays, and Volume II presents cognitive and experimental essays. Both volumes contain insightful literature reviews as well as descriptions of exciting new theoretical and empirical advances. Many of the essays also incorporate personal reminiscences reflecting the authors' fond affection for their illustrious mentor.

Author : Alice F. Healy
Publisher : Psychology Press
Page : 293 pages
File Size : 20,40 MB
Release : 2013-04-15
Category : Psychology
ISBN : 1134768184

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These two volumes consist of chapters written by students and colleagues of W.K. Estes. The books' contributors -- themselves eminent figures in the field -- reflect on Estes' sweeping contributions to mathematical as well as cognitive and experimental psychology. As indicated by their titles, Volume I features mathematical and theoretical essays, and Volume II presents cognitive and experimental essays. Both volumes contain insightful literature reviews as well as descriptions of exciting new theoretical and empirical advances. Many of the essays also incorporate personal reminiscences reflecting the authors' fond affection for their illustrious mentor.

Author : Norbert M. Seel
Publisher : Springer Science & Business Media
Page : 3643 pages
File Size : 31,69 MB
Release : 2011-10-05
Category : Education
ISBN : 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.

Author : Keith James Holyoak
Publisher : Intellect (UK)
Page : 520 pages
File Size : 43,57 MB
Release : 1994
Category : Computers
ISBN :

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Presenting research on the computational abilities of connectionist, neural, and neurally inspired systems, this series emphasizes the question of how connectionist or neural network models can be made to perform rapid, short-term types of computation that are useful in higher level cognitive processes. The most recent volumes are directed mainly at researchers in connectionism, analogy, metaphor, and case-based reasoning, but are also suitable for graduate courses in those areas.

Author : Steven Davis
Publisher : Oxford University Press, USA
Page : 331 pages
File Size : 42,76 MB
Release : 1992
Category : Artificial intelligence
ISBN : 0195076664

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Part of a series on cognitive behaviour and science, based on a 1990 conference sponsored by the Cognitive Science Program and the Linguistics Department of Simon Fraser University, Vancouver, British Columbia, Canada.

Author : Ron Sun
Publisher : Cambridge University Press
Page : 767 pages
File Size : 20,62 MB
Release : 2008-04-28
Category : Computers
ISBN : 0521674107

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A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.