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Connectionist Models Of Development
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Book Synopsis Rethinking Innateness by : Jeffrey L. Elman
Download or read book Rethinking Innateness written by Jeffrey L. Elman and published by MIT Press. This book was released on 1996 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rethinking Innateness asks the question, "What does it really mean to say that a behavior is innate?" The authors describe a new framework in which interactions, occurring at all levels, give rise to emergent forms and behaviors. These outcomes often may be highly constrained and universal, yet are not themselves directly contained in the genes in any domain-specific way. One of the key contributions of Rethinking Innateness is a taxonomy of ways in which a behavior can be innate. These include constraints at the level of representation, architecture, and timing; typically, behaviors arise through the interaction of constraints at several of these levels.The ideas are explored through dynamic models inspired by a new kind of "developmental connectionism," a marriage of connectionist models and developmental neurobiology, forming a new theoretical framework for the study of behavioral development. While relying heavily on the conceptual and computational tools provided by connectionism, Rethinking Innateness also identifies ways in which these tools need to be enriched by closer attention to biology.
Book Synopsis Connectionist Models of Development by : Philip T. Quinlan
Download or read book Connectionist Models of Development written by Philip T. Quinlan and published by Psychology Press. This book was released on 2004-03 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models of Development is an edited collection of essays on the current work concerning connectionist or neural network models of human development. The brain comprises millions of nerve cells that share myriad connections, and this book looks at how human development in these systems is typically characterised as adaptive changes to the strengths of these connections. The traditional accounts of connectionist learning, based on adaptive changes to weighted connections, are explored alongside the dynamic accounts in which networks generate their own structures as learning proceeds. Unlike most connectionist accounts of psychological processes which deal with the fully-mature system, this text brings to the fore a discussion of developmental processes. To investigate human cognitive and perceptual development, connectionist models of learning and representation are adopted alongside various aspects of language and knowledge acquisition. There are sections on artificial intelligence and how computer programs have been designed to mimic the development processes, as well as chapters which describe what is currently known about how real brains develop. This book is a much-needed addition to the existing literature on connectionist development as it includes up-to-date examples of research on current controversies in the field as well as new features such as genetic connectionism and biological theories of the brain. It will be invaluable to academic researchers, post-graduates and undergraduates in developmental psychology and those researching connectionist/neural networks as well as those in related fields such as psycholinguistics.
Book Synopsis The Cambridge Handbook of Computational Psychology by : Ron Sun
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.
Book Synopsis Connectionist Models of Learning, Development and Evolution by : Robert M. French
Download or read book Connectionist Models of Learning, Development and Evolution written by Robert M. French and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models of Learning, Development and Evolution comprises a selection of papers presented at the Sixth Neural Computation and Psychology Workshop - the only international workshop devoted to connectionist models of psychological phenomena. With a main theme of neural network modelling in the areas of evolution, learning, and development, the papers are organized into six sections: The neural basis of cognition Development and category learning Implicit learning Social cognition Evolution Semantics Covering artificial intelligence, mathematics, psychology, neurobiology, and philosophy, it will be an invaluable reference work for researchers and students working on connectionist modelling in computer science and psychology, or in any area related to cognitive science.
Book Synopsis Connectionist Models of Development by : Philip T. Quinlan
Download or read book Connectionist Models of Development written by Philip T. Quinlan and published by Taylor & Francis. This book was released on 2003 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models of Development is an edited collection of essays on the current work concerning connectionist or neural network models of human development. The brain comprises millions of nerve cells that share myriad connections, and this book looks at how human development in these systems is typically characterised as adaptive changes to the strengths of these connections. The traditional accounts of connectionist learning, based on adaptive changes to weighted connections, are explored alongside the dynamic accounts in which networks generate their own structures as learning proceeds. Unlike most connectionist accounts of psychological processes which deal with the fully-mature system, this text brings to the fore a discussion of developmental processes. To investigate human cognitive and perceptual development, connectionist models of learning and representation are adopted alongside various aspects of language and knowledge acquisition. There are sections on artificial intelligence and how computer programs have been designed to mimic the development processes, as well as chapters which describe what is currently known about how real brains develop. This book is a much-needed addition to the existing literature on connectionist development as it includes up-to-date examples of research on current controversies in the field as well as new features such as genetic connectionism and biological theories of the brain. It will be invaluable to academic researchers, post-graduates and undergraduates in developmental psychology and those researching connectionist/neural networks as well as those in related fields such as psycholinguistics.
Book Synopsis Toward a Unified Theory of Development by : John P. Spencer
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.
Book Synopsis Beyond Modularity by : Annette Karmiloff-Smith
Download or read book Beyond Modularity written by Annette Karmiloff-Smith and published by MIT Press. This book was released on 1995-09-25 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking a stand midway between Piaget's constructivism and Fodor's nativism, Annette Karmiloff-Smith offers an exciting new theory of developmental change that embraces both approaches. She shows how each can enrich the other and how both are necessary to a fundamental theory of human cognition. Karmiloff-Smith shifts the focus from what cognitive science can offer the study of development to what a developmental perspective can offer cognitive science. In Beyond Modularity she treats cognitive development as a serious theoretical tool, presenting a coherent portrait of the flexibility and creativity of the human mind as it develops from infancy to middle childhood. Language, physics, mathematics, commonsense psychology, drawing, and writing are explored in terms of the relationship between the innate capacities of the human mind and subsequent representational change which allows for such flexibility and creativity. Karmiloff-Smith also takes up the issue of the extent to which development involves domain-specific versus domain-general processes. She concludes with discussions of nativism and domain specificity in relation to Piagetian theory and connectionism, and shows how a developmental perspective can pinpoint what is missing from connectionist models of the mind.
Book Synopsis Connectionist Modeling and Brain Function by : Stephen José Hanson
Download or read book Connectionist Modeling and Brain Function written by Stephen José Hanson and published by Bradford Book. This book was released on 1990 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bringing together contributions in biology, neuroscience, computer science, physics, and psychology, this book offers a solid tutorial on current research activity in connectionist-inspired biology-based modeling. It describes specific experimental approaches and also confronts general issues related to learning associative memory, and sensorimotor development. Introductory chapters by editors Hanson and Olson, along with Terrence Sejnowski, Christof Koch, and Patricia S. Churchland, provide an overview of computational neuroscience, establish the distinction between "realistic" brain models and "simplified" brain models, provide specific examples of each, and explain why each approach might be appropriate in a given context. The remaining chapters are organized so that material on the anatomy and physiology of a specific part of the brain precedes the presentation of modeling studies. The modeling itself ranges from simplified models to more realistic models and provides examples of constraints arising from known brain detail as well as choices modelers face when including or excluding such constraints. There are three sections, each focused on a key area where biology and models have converged. Stephen Jose Hanson is Member of Technical Staff, Bellcore, and Visiting Faculty, Cognitive Science Laboratory, Princeton University. Carl R. Olson is Assistant Professor, Department of Psychology at Princeton Connectionist Modeling and Brain Functionis included in the Network Modeling and Connectionism series, edited by Jeffrey Elman.
Book Synopsis Introduction to Connectionist Modelling of Cognitive Processes by : Peter McLeod
Download or read book Introduction to Connectionist Modelling of Cognitive Processes written by Peter McLeod and published by Oxford University Press, USA. This book was released on 1998-01-01 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes the principles of connectionist modelling, and its application in understanding how the brain produces speech, forms memories, recognizes faces, and how intellect develops and deteriorates after brain damage.
Book Synopsis Connectionist Models in Cognitive Psychology by : George Houghton
Download or read book Connectionist Models in Cognitive Psychology written by George Houghton and published by Psychology Press. This book was released on 2004-08-02 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist Models in Cognitive Psychology is a state-of-the-art review of neural network modelling in core areas of cognitive psychology including: memory and learning, language (written and spoken), cognitive development, cognitive control, attention and action. The chapters discuss neural network models in a clear and accessible style, with an emphasis on the relationship between the models and relevant experimental data drawn from experimental psychology, neuropsychology and cognitive neuroscience. These lucid high-level contributions will serve as introductory articles for postgraduates and researchers whilst being of great use to undergraduates with an interest in the area of connectionist modelling.
Book Synopsis Neuroscience and Connectionist Theory by : Mark A. Gluck
Download or read book Neuroscience and Connectionist Theory written by Mark A. Gluck and published by Psychology Press. This book was released on 1990 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.
Book Synopsis Architectures for Intelligence by : Kurt Van Lehn
Download or read book Architectures for Intelligence written by Kurt Van Lehn and published by Psychology Press. This book was released on 2014-01-14 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume focuses on computing systems that exhibit intelligent behavior. As such, it discusses research aimed at building a computer that has the same cognitive architecture as the mind -- permitting evaluations of it as a model of the mind -- and allowing for comparisons between computer performance and experimental data on human performance. It also examines architectures that permit large, complex computations to be performed -- and questions whether the computer so structured can handle these difficult tasks intelligently.
Book Synopsis Localist Connectionist Approaches To Human Cognition by : Jonathan Grainger
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.
Book Synopsis Developing Cognitive Competence by : Tony J. Simon
Download or read book Developing Cognitive Competence written by Tony J. Simon and published by Psychology Press. This book was released on 2015-05-15 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although computational modeling is now a widespread technique in cognitive science and in psychology, relatively little work in developmental psychology has used this technique. The approach is not entirely new, as a small group of researchers has attempted to create computational accounts of cognitive developmental phenomena since the inception of the technique. It should seem obvious that transition mechanisms -- or how the system progresses from one level of competence to the next -- ought to be the central question for investigation in cognitive developmental psychology. Yet, if one scans the literature of modern developmental studies, it appears that the question has been all but ignored. However, only recently have advances in computational technology enabled the researcher access to fully self-modifying computer languages capable of simulating cognitive change. By the beginning of the 1990s, increasing numbers of researchers in the cognitive sciences were of the opinion that the tools of mathematical modeling and computer simulation make theorizing about transition mechanisms both practical and beneficial -- by using both traditional symbolic computational systems and parallel distributed processing or connectionist approaches. Computational models make it possible to define the processes that lead to a system being transformed under environmental influence from one level of competence observed in children to the next most sophisticated level. By coding computational models into simulations of actual cognitive change, they become tangible entities that are accessible to systematic study. Unfortunately, little of what has been produced has been published in journals or books where many professionals would easily find them. Feeling that developmental psychologists should be exposed to this relatively new approach, a symposium was organized at the biennial meeting of the Society for Research in Child Development. The "cost of entry" was that speakers had to have a running computational model of a documented cognitive transition. Inspired by that conference, this volume is the first collection where each content chapter presents a fully implemented, self-modifying simulation of some aspect of cognitive development. Previous collections have tended to discuss general approaches -- less than fully implemented models -- or non self-modifying models. Along with introductory and review chapters, this volume presents a set of truly "developmental" computational models -- a collection that can inform the interested researcher as well as form the basis for graduate-level courses.
Book Synopsis Connectionism and Second Language Acquisition by : Yasuhiro Shirai
Download or read book Connectionism and Second Language Acquisition written by Yasuhiro Shirai and published by Routledge. This book was released on 2018-08-17 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest title in the Cognitive Science and Second Language Acquisition Series presents a comprehensive review of connectionist research in second language acquisition (SLA). Second language researchers and the cognitive science community will find accessible discussions of the relevance of connectionist research to SLA. This important volume is key reading for any student or researcher interested in how second language acquisition can be better understood from a connectionist perspective.
Book Synopsis Connectionist Models of Memory and Language (PLE: Memory) by : Joseph P. Levy
Download or read book Connectionist Models of Memory and Language (PLE: Memory) written by Joseph P. Levy and published by Psychology Press. This book was released on 2014-05-09 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionist modelling and neural network applications had become a major sub-field of cognitive science by the mid-1990s. In this ground-breaking book, originally published in 1995, leading connectionists shed light on current approaches to memory and language modelling at the time. The book is divided into four sections: Memory; Reading; Computation and statistics; Speech and audition. Each section is introduced and set in context by the editors, allowing a wide range of language and memory issues to be addressed in one volume. This authoritative advanced level book will still be of interest for all engaged in connectionist research and the related areas of cognitive science concerned with language and memory.
Book Synopsis Handbook of Children’s Literacy by : Terezinha Nunes
Download or read book Handbook of Children’s Literacy written by Terezinha Nunes and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 790 pages. Available in PDF, EPUB and Kindle. Book excerpt: PETER BRYANT & TEREZINHA NUNES The time that it takes children to learn to read varies greatly between different orthographies, as the chapter by Sprenger-Charolles clearly shows, and so do the difficulties that they encounter in learning about their own orthography. Nevertheless most people, who have the chance to learn to read, do in the end read well enough, even though a large number experience some significant difficulties on the way. Most of them eventually become reasonably efficient spellers too, even though they go on make spelling mistakes (at any rate if they are English speakers) for the rest of their lives. So, the majority of humans plainly does have intellectual resources that are needed for reading and writing, but it does not always find these resources easy to marshal. What are these resources? Do any of them have to be acquired? Do different orthographies make quite different demands on the intellect? Do people differ significantly from each other in the strength and accessibility of these resources? If they do, are these differences an important factor in determining children's success in learning to read and write? These are the main questions that the different chapters in this section on Basic Processes set out to answer.
