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.
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 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.
Download or read book Connectionist Models of Development written by Philip T. Quinlan and published by Psychology Press. This book was released on 2004-03-01 with total page 684 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.
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.
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.
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.
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 524 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.
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.
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.
Download or read book Toward a Unified Theory of Development written by John P. Spencer and published by . 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 Exercises in Rethinking Innateness written by Kim Plunkett and published by MIT Press. This book was released on 1997-04-15 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the companion volume to Rethinking Innateness: A Connectionist Perspective on Development (The MIT Press, 1996), which proposed a new theoretical framework to answer the question "What does it mean to say that a behavior is innate?" The new work provides concrete illustrations—in the form of computer simulations—of properties of connectionist models that are particularly relevant to cognitive development. This enables the reader to pursue in depth some of the practical and empirical issues raised in the first book. The authors' larger goal is to demonstrate the usefulness of neural network modeling as a research methodology. The book comes with a complete software package, including demonstration projects, for running neural network simulations on both Macintosh and Windows 95. It also contains a series of exercises in the use of the neural network simulator provided with the book. The software is also available to run on a variety of UNIX platforms.
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.
Download or read book Connectionist Psycholinguistics written by Morten H. Christiansen and published by Bloomsbury Publishing USA. This book was released on 2001-08-30 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Setting forth the state of the art, leading researchers present a survey on the fast-developing field of Connectionist Psycholinguistics: using connectionist or neural networks, which are inspired by brain architecture, to model empirical data on human language processing. Connectionist psycholinguistics has already had a substantial impact on the study of a wide range of aspects of language processing, ranging from inflectional morphology, to word recognition, to parsing and language production. Christiansen and Chater begin with an extended tutorial overview of Connectionist Psycholinguistics which is followed by the latest research by leading figures in each area of research. The book also focuses on the implications and prospects for connectionist models of language, not just for psycholinguistics, but also for computational and linguistic perspectives on natural language. The interdisciplinary approach will be relevant for, and accessible to psychologists, cognitive scientists, linguists, philosophers, and researchers in artificial intelligence.
Download or read book Connectionism and Second Language Acquisition written by Yasuhiro Shirai and published by Routledge. This book was released on 2018-08-06 with total page 271 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.
Download or read book Connectionist Learning written by David E. Rumelhart and published by Morgan Kaufmann Pub. This book was released on 1993-06-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Explains what connectionist learning is and how it relates to artificial intelligence. Develops a respresentation of knowledge and a representation of a simple computational system, and gives some examples of how such a system might work.
Download or read book Children s Understanding written by Graeme S. Halford and published by Psychology Press. This book was released on 2014-02-25 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work argues that cognitive development is experience driven, and processes entailed in acquiring information about the world are analyzed based on recent models of learning and induction. The way information is represented and accessed when performing cognitive tasks is considered paying particular attention to the implications of Parallel Distributed Processing (PDP) models for cognitive development. The first half of the book contains analyses of human reasoning processes (drawing on PDP models of analogy), development of strategies, and task complexity -- all based on aspects of PDP representations. It is proposed that PDP representations become more differentiated with age, so more vectors can be processed in parallel, with the result that structures of greater complexity can be processed. This model gives an account of previously unexplained difficulties in children's reasoning, including some which were influential in stage theories. The second half of the book examines processes entailed in some representative cognitive developmental tasks, including transitive inference, deductive inference (categorical syllogisms), hypothesis testing, learning set acquisition, acquisition and transfer of relational structures, humor, hierarchical classification and inclusion, understanding of quantity, arithmetic word problems, algebra, conservation, mechanics, and the concept of mind. Process accounts of tasks are emphasized, based on applications of recent developments in cognitive science.
