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High Level Connectionist Models
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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 Analogical Connections by : Keith James Holyoak
Download or read book Analogical Connections written by Keith James Holyoak and published by Intellect (UK). This book was released on 1994 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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 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.
Book Synopsis Analogical Connections by : Keith James Holyoak
Download or read book Analogical Connections written by Keith James Holyoak and published by Intellect (UK). This book was released on 1994 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Modelling High-level Cognitive Processes by : Richard P. Cooper With Contributi
Download or read book Modelling High-level Cognitive Processes written by Richard P. Cooper With Contributi and published by Psychology Press. This book was released on 2013-05-13 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a practical guide to building computational models of high-level cognitive processes and systems. High-level processes are those central cognitive processes involved in thinking, reasoning, planning, and so on. These processes appear to share representational and processing requirements, and it is for this reason that they are considered together in this text. The book is divided into three parts. Part I considers foundational and background issues. Part II provides a series of case studies spanning a range of cognitive domains. Part III reflects upon issues raised by the case studies. Teachers of cognitive modeling may use material from Part I to structure lectures and practical sessions, with chapters in Part II forming the basis of in-depth student projects. All models discussed in this book are developed within the COGENT environments. COGENT provides a graphical interface in which models may be sketched as "box and arrow" diagrams and is both a useful teaching tool and a productive research tool. As such, this book is designed to be of use to both students of cognitive modeling and active researchers. For students, the book provides essential background material plus an extensive set of example models, exercises and project material. Researchers of both symbolic and connectionist persuasions will find the book of interest for its approach to cognitive modeling, which emphasizes methodological issues. They will also find that the COGENT environment itself has much to offer.
Book Synopsis Connectionism and the Philosophy of Mind by : T. Horgan
Download or read book Connectionism and the Philosophy of Mind written by T. Horgan and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information and data processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychology through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and to computer science. While primary emphasis will be placed upon theoretical, conceptual and epistemological aspects of these problems and domains, empirical, experimental and methodological studies will also appear from time to time. One of the most, if not the most, exciting developments within cognitive science has been the emergence of connectionism as an alternative to the computational conception of the mind that tends to dominate the discipline. In this volume, John Tienson and Terence Horgan have brought together a fine collection of stimulating studies on connectionism and its significance. As the Introduction explains, the most pressing questions concern whether or not connectionism can provide a new conception of the nature of mentality. By focusing on the similarities and differences between connectionism and other approaches to cognitive science, the chapters of this book supply valuable resources that advance our understanding of these difficult issues. J.H.F.
Book Synopsis Connectionism and the Mind by : William Bechtel
Download or read book Connectionism and the Mind written by William Bechtel and published by Wiley-Blackwell. This book was released on 2002-01-21 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Connectionism and the Mind provides a clear and balanced introduction to connectionist networks and explores theoretical and philosophical implications. Much of this discussion from the first edition has been updated, and three new chapters have been added on the relation of connectionism to recent work on dynamical systems theory, artificial life, and cognitive neuroscience. Read two of the sample chapters on line: Connectionism and the Dynamical Approach to Cognition: http://www.blackwellpublishing.com/pdf/bechtel.pdf Networks, Robots, and Artificial Life: http://www.blackwellpublishing.com/pdf/bechtel2.pdf
Download or read book Associative Engines written by Andy Clark and published by MIT Press. This book was released on 1993 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clark charts a fundamental shift from a static, inner-code-oriented conception of the subject matter of cognitive science to a more dynamic, developmentally rich, process-oriented view.
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 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 Connectionist Psycholinguistics by : Morten H. Christiansen
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.
Book Synopsis Subsymbolic Natural Language Processing by : Risto Miikkulainen
Download or read book Subsymbolic Natural Language Processing written by Risto Miikkulainen and published by MIT Press. This book was released on 1993 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risto Miikkulainen draws on recent connectionist work in language comprehension tocreate a model that can understand natural language. Using the DISCERN system as an example, hedescribes a general approach to building high-level cognitive models from distributed neuralnetworks and shows how the special properties of such networks are useful in modeling humanperformance. In this approach connectionist networks are not only plausible models of isolatedcognitive phenomena, but also sufficient constituents for complete artificial intelligencesystems.Distributed neural networks have been very successful in modeling isolated cognitivephenomena, but complex high-level behavior has been tractable only with symbolic artificialintelligence techniques. Aiming to bridge this gap, Miikkulainen describes DISCERN, a completenatural language processing system implemented entirely at the subsymbolic level. In DISCERN,distributed neural network models of parsing, generating, reasoning, lexical processing, andepisodic memory are integrated into a single system that learns to read, paraphrase, and answerquestions about stereotypical narratives.Miikkulainen's work, which includes a comprehensive surveyof the connectionist literature related to natural language processing, will prove especiallyvaluable to researchers interested in practical techniques for high-level representation,inferencing, memory modeling, and modular connectionist architectures.Risto Miikkulainen is anAssistant Professor in the Department of Computer Sciences at The University of Texas atAustin.
Book Synopsis Philosophy and Connectionist Theory by : William Ramsey
Download or read book Philosophy and Connectionist Theory written by William Ramsey and published by Psychology Press. This book was released on 2013-06-17 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: The philosophy of cognitive science has recently become one of the most exciting and fastest growing domains of philosophical inquiry and analysis. Until the early 1980s, nearly all of the models developed treated cognitive processes -- like problem solving, language comprehension, memory, and higher visual processing -- as rule-governed symbol manipulation. However, this situation has changed dramatically over the last half dozen years. In that period there has been an enormous shift of attention toward connectionist models of cognition that are inspired by the network-like architecture of the brain. Because of their unique architecture and style of processing, connectionist systems are generally regarded as radically different from the more traditional symbol manipulation models. This collection was designed to provide philosophers who have been working in the area of cognitive science with a forum for expressing their views on these recent developments. Because the symbol-manipulating paradigm has been so important to the work of contemporary philosophers, many have watched the emergence of connectionism with considerable interest. The contributors take very different stands toward connectionism, but all agree that the potential exists for a radical shift in the way many philosophers think of various aspects of cognition. Exploring this potential and other philosophical dimensions of connectionist research is the aim of this volume.
Book Synopsis Memory, Psychology and Second Language Learning by : Mick Randall
Download or read book Memory, Psychology and Second Language Learning written by Mick Randall and published by John Benjamins Publishing. This book was released on 2007 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the contributions that cognitive linguistics and psychology, including neuropsychology, have made to the understanding of the way that second languages are processed and learnt. It examines areas of phonology, word recognition and semantics, examining 'bottom-up' decoding processes as compared with 'top-down' processes as they affect memory. It also discusses second language learning from the acquisition/learning and nativist/connectionist perspectives. These ideas are then related to the methods that are used to teach second languages, primarily English, in formal classroom situations. This examination involves both 'mainstream' communicative approaches, and more traditional methods widely used to teach EFL throughout the world. The book is intended to act both as a textbook for students who are studying second language teaching and as an exploration of issues for the interested teacher who would like to further extend their understanding of the cognitive processes underlying their teaching.Mick Randall is currently Senior Lecturer in TESOL and Head of the Institute of Education at the British University in Dubai. He has taught courses in second language learning and teaching, applied linguistics and psychology in a number of different contexts. He has a special interest in the cognitive processing of language and in the psycholinguistics of word recognition, spelling and reading.
Book Synopsis Connectionist Models by : David S. Touretzky
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 417 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.
Book Synopsis The Symbolic and Connectionist Paradigms by : John Dinsmore
Download or read book The Symbolic and Connectionist Paradigms written by John Dinsmore and published by Psychology Press. This book was released on 2014-01-14 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: The modern study of cognition finds itself with two widely endorsed but seemingly incongruous theoretical paradigms. The first of these, inspired by formal logic and the digital computer, sees reasoning in the principled manipulation of structured symbolic representations. The second, inspired by the physiology of the brain, sees reasoning as the behavior that emerges from the direct interactions found in large networks of simple processing components. Each paradigm has its own accomplishments, problems, methodology, proponents, and agenda. This book records the thoughts of researchers -- from both computer science and philosophy -- on resolving the debate between the symbolic and connectionist paradigms. It addresses theoretical and methodological issues throughout, but at the same time exhibits the current attempts of practicing cognitive scientists to solve real problems.
Book Synopsis Explaining the Computational Mind by : Marcin Milkowski
Download or read book Explaining the Computational Mind written by Marcin Milkowski and published by MIT Press. This book was released on 2013-03-29 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A defense of the computational explanation of cognition that relies on mechanistic philosophy of science and advocates for explanatory pluralism. In this book, Marcin Milkowski argues that the mind can be explained computationally because it is itself computational—whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music. Defending the computational explanation against objections to it—from John Searle and Hilary Putnam in particular—Milkowski writes that computationalism is here to stay but is not what many have taken it to be. It does not, for example, rely on a Cartesian gulf between software and hardware, or mind and brain. Milkowski's mechanistic construal of computation allows him to show that no purely computational explanation of a physical process will ever be complete. Computationalism is only plausible, he argues, if you also accept explanatory pluralism. Milkowski sketches a mechanistic theory of implementation of computation against a background of extant conceptions, describing four dissimilar computational models of cognition. He reviews other philosophical accounts of implementation and computational explanation and defends a notion of representation that is compatible with his mechanistic account and adequate vis à vis the four models discussed earlier. Instead of arguing that there is no computation without representation, he inverts the slogan and shows that there is no representation without computation—but explains that representation goes beyond purely computational considerations. Milkowski's arguments succeed in vindicating computational explanation in a novel way by relying on mechanistic theory of science and interventionist theory of causation.
