Computational Learning Theory And Natural Learning Systems Intersections Between Theory And Experiment
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Computational Learning Theory And Natural Learning Systems Intersections Between Theory And Experiment
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Author : George A. Drastal
language : en
Publisher:
Release Date : 1994
Computational Learning Theory And Natural Learning Systems Intersections Between Theory And Experiment written by George A. Drastal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computational learning theory categories.
Computational Learning Theory And Natural Learning Systems
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Author : Stephen José Hanson
language : en
Publisher:
Release Date : 1995
Computational Learning Theory And Natural Learning Systems written by Stephen José Hanson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computational learning theory categories.
Goal Driven Learning
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Author : Ashwin Ram
language : en
Publisher: MIT Press
Release Date : 1995
Goal Driven Learning written by Ashwin Ram and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
Brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. In cognitive science, artificial intelligence, psychology, and education, a growing body of research supports the view that the learning process is strongly influenced by the learner's goals. The fundamental tenet of goal-driven learning is that learning is largely an active and strategic process in which the learner, human or machine, attempts to identify and satisfy its information needs in the context of its tasks and goals, its prior knowledge, its capabilities, and environmental opportunities for learning. This book brings together a diversity of research on goal-driven learning to establish a broad, interdisciplinary framework that describes the goal-driven learning process. It collects and solidifies existing results on this important issue in machine and human learning and presents a theoretical framework for future investigations. The book opens with an an overview of goal-driven learning research and computational and cognitive models of the goal-driven learning process. This introduction is followed by a collection of fourteen recent research articles addressing fundamental issues of the field, including psychological and functional arguments for modeling learning as a deliberative, planful process; experimental evaluation of the benefits of utility-based analysis to guide decisions about what to learn; case studies of computational models in which learning is driven by reasoning about learning goals; psychological evidence for human goal-driven learning; and the ramifications of goal-driven learning in educational contexts. The second part of the book presents six position papers reflecting ongoing research and current issues in goal-driven learning. Issues discussed include methods for pursuing psychological studies of goal-driven learning, frameworks for the design of active and multistrategy learning systems, and methods for selecting and balancing the goals that drive learning. A Bradford Book
Computational Learning Theory And Natural Learning Systems Selecting Good Models
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Author : Stephen José Hanson
language : en
Publisher: Bradford Books
Release Date : 1994
Computational Learning Theory And Natural Learning Systems Selecting Good Models written by Stephen José Hanson and has been published by Bradford Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
Volume I of the series introduces the general focus of the workshops. Volume II looks at specific areas of interaction between theory and experiment. Volumes III and IV focus on key areas of learning systems that have developed recently. Volume III looks at the problem of "Selecting Good Models." The present volume, Volume IV, looks at ways of "Making Learning Systems Practical." The editors divide the twenty-one contributions into four sections. The first three cover critical problem areas: 1) scaling up from small problems to realistic ones with large input dimensions, 2) increasing efficiency and robustness of learning methods, and 3) developing strategies to obtain good generalization from limited or small data samples. The fourth section discusses examples of real-world learning systems.
Computational Developmental Psychology
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Author : Thomas R. Shultz
language : en
Publisher: MIT Press
Release Date : 2003
Computational Developmental Psychology written by Thomas R. Shultz and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Psychology categories.
An overview of the emerging discipline of computational developmental psychology, emphasizing the use of constructivist neural networks. Despite decades of scientific research, the core issues of child development remain too complex to be explained by traditional verbal theories. These issues include structure and transition, representation and processing, innate and experiential determinants of development, stages of development, the purpose and end of development, and the relation between knowledge and learning. In this book Thomas Shultz shows how computational modeling can be used to capture these complex phenomena, and in so doing he lays the foundation for a new subfield of developmental psychology, computational developmental psychology. A principal approach in developmental thinking is the constructivist one. Constructivism is the Piagetian view that the child builds new cognitive structures by using current mental structures to understand new events. In this book Shultz features constructivist models employing networks that grow as well as learn. This allows models to implement synaptogenesis and neurogenesis in a way that allows qualitative changes in processing mechanisms. The book's appendices provide additional background on the mathematical concepts used, and a companion Web site contains easy-to-use computational packages.
Methodology And Tools In Knowledge Based Systems
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Author : Angel P. del Pobil
language : en
Publisher: Springer
Release Date : 2006-04-11
Methodology And Tools In Knowledge Based Systems written by Angel P. del Pobil and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-11 with Computers categories.
This two-volume set constitutes the refereed proceedings of the 11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE-98, held in Benicassim, Castellon, Spain, in June 1998.The two volumes present a total of 187 revised full papers selected from 291 submissions. In accordance with the conference, the books are devoted to new methodologies, knowledge modeling and hybrid techniques. The papers explore applications from virtually all subareas of AI including knowledge-based systems, fuzzyness and uncertainty, formal reasoning, neural information processing, multiagent systems, perception, robotics, natural language processing, machine learning, supervision and control systems, etc..
Methodology And Tools In Knowledge Based Systems
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Author :
language : en
Publisher: Springer Science & Business Media
Release Date : 1998
Methodology And Tools In Knowledge Based Systems written by and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Artificial intelligence categories.
Blackwell Handbook Of Childhood Cognitive Development
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Author : Usha Goswami
language : en
Publisher: John Wiley & Sons
Release Date : 2008-04-15
Blackwell Handbook Of Childhood Cognitive Development written by Usha Goswami and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-15 with Psychology categories.
This definitive volume provides state-of-the-art summaries of current research by leading specialists in different areas of cognitive development. Forms part of a series of four Blackwell Handbooks in Developmental Psychology spanning infancy to adulthood. Covers all the major topics in research and theory about childhood cognitive development. Synthesizes the latest research findings in an accessible manner. Includes chapters on abnormal cognitive development and theoretical perspectives, as well as basic research topics. Now available in full text online via xreferplus, the award-winning reference library on the web from xrefer. For more information, visit www.xreferplus.com
Connectionist Models Of Development
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Author : Philip T. Quinlan
language : en
Publisher: Taylor & Francis
Release Date : 2003
Connectionist Models Of Development written by Philip T. Quinlan and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
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.
Developing Cognitive Competence
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Author : Tony J. Simon
language : en
Publisher: Psychology Press
Release Date : 2015-05-15
Developing Cognitive Competence written by Tony J. Simon and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-15 with Psychology categories.
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.