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OverviewFull Product DetailsAuthor: James A. Anderson (Professor of Cognitive, Linguistic and Psychological Sciences, Professor of Cognitive, Linguistic and Psychological Sciences, Brown University)Publisher: Oxford University Press Inc Imprint: Oxford University Press Inc Dimensions: Width: 25.70cm , Height: 2.80cm , Length: 18.30cm Weight: 0.907kg ISBN: 9780199357789ISBN 10: 0199357781 Pages: 400 Publication Date: 20 April 2017 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviews"<""After Digital is an incisive and eloquent milepost in our accelerating journey to human-like artificial intelligence. Anderson, a seminal figure in the field of neural networks and one of its most prescient practitioners, gives us a first hand look at how we got here and where we are going. An accessible and essential book that will appeal to both scientists and non-scientists alike.> * Michael J. Tarr, PhD, Professor and Head, Department of Psychology, Carnegie Mellon University * <""If you want to understand the arrival of the computer age in the 20th century, you will value this book. To chart the course we are on, Anderson combines a physicist's knowledge of the technology with a psychologist's appreciation of human aspirations and cognitive capabilities. Informative, thoughtful, accessible.>""-Pentti Kanerva, PhD, Redwood Center for Theoretical Neuroscience <""Professor James A. Anderson presents historical and evolutionary arguments emphasizing current attempts to understand biological computation within a digital computer context [that] may lead to computationally easy or sociologically popular solutions which unfortunately are dangerously misleading or even wrong. Anderson's writing style is best described as a fun, fascinating, and entertaining dinner conversation where seemingly innocent conversation threads consisting of interesting anecdote sequences incrementally reveal novel insights about the strengths, limits, and future of both biological and digital computation. Required reading for anyone interested in how biological systems compute as well as anyone interested in exploiting biological constraints for developing smart machines!> * Richard M. Golden, PhD, Professor of Cognitive Science, University of Texas at Dallas *" < After Digital is an incisive and eloquent milepost in our accelerating journey to human-like artificial intelligence. Anderson, a seminal figure in the field of neural networks and one of its most prescient practitioners, gives us a first hand look at how we got here and where we are going. An accessible and essential book that will appeal to both scientists and non-scientists alike.> Michael J. Tarr, PhD, Professor and Head, Department of Psychology, Carnegie Mellon University < If you want to understand the arrival of the computer age in the 20th century, you will value this book. To chart the course we are on, Anderson combines a physicist's knowledge of the technology with a psychologist's appreciation of human aspirations and cognitive capabilities. Informative, thoughtful, accessible.> -Pentti Kanerva, PhD, Redwood Center for Theoretical Neuroscience < Professor James A. Anderson presents historical and evolutionary arguments emphasizing current attempts to understand biological computation within a digital computer context [that] may lead to computationally easy or sociologically popular solutions which unfortunately are dangerously misleading or even wrong. Anderson's writing style is best described as a fun, fascinating, and entertaining dinner conversation where seemingly innocent conversation threads consisting of interesting anecdote sequences incrementally reveal novel insights about the strengths, limits, and future of both biological and digital computation. Required reading for anyone interested in how biological systems compute as well as anyone interested in exploiting biological constraints for developing smart machines!> Richard M. Golden, PhD, Professor of Cognitive Science, University of Texas at Dallas Professor James A. Anderson presents historical and evolutionary arguments emphasizing current attempts to understand biological computation within a digital computer context [that] may lead to computationally easy or sociologically popular solutions which unfortunately are dangerously misleading or even wrong. Anderson's writing style is best described as a fun, fascinating, and entertaining dinner conversation where seemingly innocent conversation threads consisting of interesting anecdote sequences incrementally reveal novel insights about the strengths, limits, and future of both biological and digital computation. Required reading for anyone interested in how biological systems compute as well as anyone interested in exploiting biological constraints for developing smart machines!> * Richard M. Golden, PhD, Professor of Cognitive Science, University of Texas at Dallas * If you want to understand the arrival of the computer age in the 20th century, you will value this book. To chart the course we are on, Anderson combines a physicist's knowledge of the technology with a psychologist's appreciation of human aspirations and cognitive capabilities. Informative, thoughtful, accessible. -Pentti Kanerva, PhD, Redwood Center for Theoretical Neuroscience After Digital is an incisive and eloquent milepost in our accelerating journey to human-like artificial intelligence. Anderson, a seminal figure in the field of neural networks and one of its most prescient practitioners, gives us a first hand look at how we got here and where we are going. An accessible and essential book that will appeal to both scientists and non-scientists alike.> * Michael J. Tarr, PhD, Professor and Head, Department of Psychology, Carnegie Mellon University * < Professor James A. Anderson presents historical and evolutionary arguments emphasizing current attempts to understand biological computation within a digital computer context [that] may lead to computationally easy or sociologically popular solutions which unfortunately are dangerously misleading or even wrong. Anderson's writing style is best described as a fun, fascinating, and entertaining dinner conversation where seemingly innocent conversation threads consisting of interesting anecdote sequences incrementally reveal novel insights about the strengths, limits, and future of both biological and digital computation. Required reading for anyone interested in how biological systems compute as well as anyone interested in exploiting biological constraints for developing smart machines!> * Richard M. Golden, PhD, Professor of Cognitive Science, University of Texas at Dallas * < If you want to understand the arrival of the computer age in the 20th century, you will value this book. To chart the course we are on, Anderson combines a physicist's knowledge of the technology with a psychologist's appreciation of human aspirations and cognitive capabilities. Informative, thoughtful, accessible.> -Pentti Kanerva, PhD, Redwood Center for Theoretical Neuroscience < After Digital is an incisive and eloquent milepost in our accelerating journey to human-like artificial intelligence. Anderson, a seminal figure in the field of neural networks and one of its most prescient practitioners, gives us a first hand look at how we got here and where we are going. An accessible and essential book that will appeal to both scientists and non-scientists alike.> * Michael J. Tarr, PhD, Professor and Head, Department of Psychology, Carnegie Mellon University * Author InformationJames A. Anderson has been a member of the faculty of Brown University since 1973 and is now Professor in the Department of Cognitive, Linguistic and Psychological Sciences. He received an SB in physics and PhD in physiology both from MIT. He has published extensively in the area of computational models for cognition and memory and computational neuroscience. Tab Content 6Author Website:Countries AvailableAll regions |