After Digital: Computation as Done by Brains and Machines

Author:   James A. Anderson (Professor of Cognitive, Linguistic and Psychological Sciences, Professor of Cognitive, Linguistic and Psychological Sciences, Brown University)
Publisher:   Oxford University Press Inc
ISBN:  

9780199357789


Pages:   400
Publication Date:   20 April 2017
Format:   Hardback
Availability:   In stock   Availability explained
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After Digital: Computation as Done by Brains and Machines


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Author:   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:  

9780199357789


ISBN 10:   0199357781
Pages:   400
Publication Date:   20 April 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Reviews

"<""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 Information

James 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.

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