Download or read book From Learning Theory to Connectionist Theory written by William Kaye Estes and published by Psychology Press. This book was released on 1992 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book From Learning Theory to Connectionist Theory written by Alice F. Healy and published by Psychology Press. This book was released on 1992 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: First Published in 1992. Routledge is an imprint of Taylor & Francis, an informa company.
Download or read book From Learning Theory to Connectionist Theory written by Alice F. Healy and published by Psychology Press. This book was released on 2013-04-15 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Encyclopedia of the Sciences of Learning written by Norbert M. Seel and published by Springer Science & Business Media. This book was released on 2011-10-05 with total page 3643 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book From Learning Processes to Connectionist Theory written by A. Healy and published by Psychology Press. This book was released on 1992 with total page 616 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set consists of chapters written by students and colleagues of William K. Estes. They reflect on his contributions to mathematical as well as cognitive and experimental psychology. Volume I contains mathematical and theoretical essays, and Volume II presents cognitive and experimental essays.
Download or read book Essays in Honor of William K Estes From learning theory to connectionist theory written by Alice F. Healy and published by . This book was released on 1992 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Cambridge Handbook of Computational Psychology written by Ron Sun and published by Cambridge University Press. This book was released on 2008-04-28 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.
Download or read book Localist Connectionist Approaches To Human Cognition written by Jonathan Grainger and published by Psychology Press. This book was released on 2013-06-17 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an overview of a relatively neglected branch of connectionism known as localist connectionism. The singling out of localist connectionism is motivated by the fact that some critical modeling strategies have been more readily applied in the development and testing of localist as opposed to distributed connectionist models (models using distributed hidden-unit representations and trained with a particular learning algorithm, typically back-propagation). One major theme emerging from this book is that localist connectionism currently provides an interesting means of evolving from verbal-boxological models of human cognition to computer-implemented algorithmic models. The other central messages conveyed are that the highly delicate issue of model testing, evaluation, and selection must be taken seriously, and that model-builders of the localist connectionist family have already shown exemplary steps in this direction.
Download or read book Neuroscience and Connectionist Theory written by Mark A. Gluck and published by Psychology Press. This book was released on 2013-02-01 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena in humans and other higher-order vertebrates.
Download or read book Mathematical Perspectives on Neural Networks written by Paul Smolensky and published by Psychology Press. This book was released on 2013-05-13 with total page 890 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary background, in such areas as computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time-series analysis, Bayesian analysis, regularization theory, information theory, computational learning theory, and mathematical statistics. Mathematical models of neural networks display an amazing richness and diversity. Neural networks can be formally modeled as computational systems, as physical or dynamical systems, and as statistical analyzers. Within each of these three broad perspectives, there are a number of particular approaches. For each of 16 particular mathematical perspectives on neural networks, the contributing authors provide introductions to the background mathematics, and address questions such as: * Exactly what mathematical systems are used to model neural networks from the given perspective? * What formal questions about neural networks can then be addressed? * What are typical results that can be obtained? and * What are the outstanding open problems? A distinctive feature of this volume is that for each perspective presented in one of the contributed chapters, the first editor has provided a moderately detailed summary of the formal results and the requisite mathematical concepts. These summaries are presented in four chapters that tie together the 16 contributed chapters: three develop a coherent view of the three general perspectives -- computational, dynamical, and statistical; the other assembles these three perspectives into a unified overview of the neural networks field.
Download or read book Connectionism written by Steven Davis and published by Oxford University Press, USA. This book was released on 1992 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Toward a Unified Theory of Development written by John P. Spencer and published by Oxford University Press, USA. This book was released on 2009 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This resource defines and refines two major theoretical approaches within developmental science that address the central issues of development-connectionism and dynamical systems theory.
Download or read book Contemporary Learning Theories pavlovian Conditioning and the Status of Traditional Learning Theory written by Stephen B. Klein and published by . This book was released on 1989 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique two-volume set provides detailed coverage of contemporary learning theory. Uniting leading experts in modern behavioral theory, these texts give students a complete view of the field. Volume I details the complexities of Pavlovian conditioning and describes the current status of traditional learning theories. Volume II discusses several important facets of instrumental conditioning and presents comprehensive coverage of the role of inheritance on learning. A strong and complete base of knowledge concerning learning theories, these volumes are ideal reference sources for a.
Download or read book Neural Network Design and the Complexity of Learning written by J. Stephen Judd and published by MIT Press. This book was released on 1990 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier.Judd looks beyond the scope of any one particular learning rule, at a level above the details of neurons. There he finds new issues that arise when great numbers of neurons are employed and he offers fresh insights into design principles that could guide the construction of artificial and biological neural networks.The first part of the book describes the motivations and goals of the study and relates them to current scientific theory. It provides an overview of the major ideas, formulates the general learning problem with an eye to the computational complexity of the task, reviews current theory on learning, relates the book's model of learning to other models outside the connectionist paradigm, and sets out to examine scale-up issues in connectionist learning.Later chapters prove the intractability of the general case of memorizing in networks, elaborate on implications of this intractability and point out several corollaries applying to various special subcases. Judd refines the distinctive characteristics of the difficulties with families of shallow networks, addresses concerns about the ability of neural networks to generalize, and summarizes the results, implications, and possible extensions of the work. Neural Network Design and the Complexity of Learning is included in the Network Modeling and Connectionism series edited by Jeffrey Elman.
Download or read book Second Language Learning Theories written by Florence Myles and published by Routledge. This book was released on 2014-02-04 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Second Language Learning Theories is an introduction to the field of second language learning for students without a substantial background in linguistics. Drawing on the expertise of both a specialist in the teaching of second languages and a linguist specializing in second language acquisition, this textbook provides an up-to-date introductory survey of the most active and significant perspectives on the subject. In this new edition, the authors have revised and updated the text throughout to reflect the substantial developments that have taken place in the field in recent years. New studies have been incorporated as examples and there is more material on work in L2 phonology and lexis, as well as syntax. The evaluation sections in each chapter have been expanded and generally the book is rebalanced in favour of newer material. The first edition quickly established itself as the textbook of choice for students new to second language learning. The updates and revisions in this new edition ensure that the book remains as fresh, engaging and useful as the day it was first published.
Download or read book Connectionist Models written by David S. Touretzky and published by Morgan Kaufmann. This book was released on 2014-05-12 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models contains the proceedings of the 1990 Connectionist Models Summer School held at the University of California at San Diego. The summer school provided a forum for students and faculty to assess the state of the art with regards to connectionist modeling. Topics covered range from theoretical analysis of networks to empirical investigations of learning algorithms; speech and image processing; cognitive psychology; computational neuroscience; and VLSI design. Comprised of 40 chapters, this book begins with an introduction to mean field, Boltzmann, and Hopfield networks, focusing on deterministic Boltzmann learning in networks with asymmetric connectivity; contrastive Hebbian learning in the continuous Hopfield model; and energy minimization and the satisfiability of propositional logic. Mean field networks that learn to discriminate temporally distorted strings are described. The next sections are devoted to reinforcement learning and genetic learning, along with temporal processing and modularity. Cognitive modeling and symbol processing as well as VLSI implementation are also discussed. This monograph will be of interest to both students and academicians concerned with connectionist modeling.
Download or read book Algorithmic Learning Theory written by Ming Li and published by Springer Science & Business Media. This book was released on 1997-09-17 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the strictly refereed post-workshop proceedings of the Second International Workshop on Database Issues for Data Visualization, held in conjunction with the IEEE Visualization '95 conference in Atlanta, Georgia, in October 1995. Besides 13 revised full papers, the book presents three workshop subgroup reports summarizing the contents of the book as well as the state-of-the-art in the areas of scientific data modelling, supporting interactive database exploration, and visualization related metadata. The volume provides a snapshop of current research in the area and surveys the problems that must be addressed now and in the future towards the integration of database management systems and data visualization.
