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The Computer and the Brain (The Silliman Memorial Lectures Series)

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With a foreword by Paul M. Churchland and Patricia S. ChurchlandThis book represents the views of one of the greatest mathematicians of the twentieth century on the analogies between computing machines and the living human brain. John von Neumann concludes that the brain operates in part digitally, in part analogically, but uses a peculiar statistical language unlike that employed in the operation of man-made computers. This edition includes a new foreword by two eminent figures in the fields of philosophy, neuroscience, and consciousness.

About the Author

At the time of his death in February 1957, John von Neumann, renowned for his theory of games and his work at the Electronic Computer Project at the Institute for Advanced Study, was serving as a member of the Atomic Energy Commission. Paul M. and Patricia S. Churchland are professors of philosophy at the University of California, San Diego.
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Montreal's Irish Mafia: The True Story of the Infamous West End Gang
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Windows Vista®: Home Networking (Epg - Other)
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Operations Research: A Model-Based Approach (Springer Texts in Business and Economics)
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Guide to Networking Essentials, 6th Edition
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Guide to Networking Essentials, Sixth Edition, is intended to serve the needs of students, instructors, aspiring information technology professionals, and others who are interested in learning more about networking technologies but who might have little or no background in this subject matter. This book’s extensive and broad...
Logic-Based Artificial Intelligence
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This landmark volume represents the culmination of over 40 years of research in the use of logic as a basis for representing and manipulating problems in the field of artificial intelligence. The use of logic as a basis for commonsense reasoning was started by John McCarthy in 1959. The collection consists of both original research and...

Inference Control in Statistical Databases: From Theory to Practice (Lecture Notes in Computer Science)
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Inference control in statistical databases, also known as statistical disclosure limitation or statistical confidentiality, is about finding tradeoffs to the tension between the increasing societal need for accurate statistical data and the legal and ethical obligation to protect privacy of individuals and enterprises which are the source...
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