Fuzzy Thinking Audiolibro Por Bart Kosko arte de portada

Fuzzy Thinking

How AI Thinks in Shades of Gray

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Fuzzy Thinking

De: Bart Kosko
Narrado por: Virtual Voice
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FUZZY THINKING: How AI Thinks in Shades of Gray is the first popular book to clearly explain the revolutionary new technology and worldview of fuzzy logic--and how the shift from black-and-white logic to thinking in shades of gray changes our lives and our AI future. Does outer space suddenly begin at exactly 100 kilometers above sea level? Does adulthood suddenly begin on one’s 18th birthday? Does life itself suddenly begin at conception or at 15 weeks after conception? Or are these fuzzy matters of degree?

“Bart Kosko is a wonderful futurist with a polymathic combination of talents.”
M.I.T. Professor Marvin Minsky

"Probably the best primer around for learning what Fuzzy Logic is all about."
KIRKUS REVIEWS

"Fuzzy logic posits a world in which absolutes, such as those implied in the words "true" and "false , "are less important and interesting than the matters of degree between them. "Fuzziness is grayness," and "the truth lies in the middle," according to Kosko, one of the pioneers of fuzzy logic theory, which he persuasively presents as a world view rooted more in Buddhist and Taoist assumptions than in the dichotomous Aristotelian tradition. He proposes FATs (Fuzzy Approximation Theorems) for the existence (and non-existence, as fuzziness demands) of God and as models of the abortion debate. In consumer terms, fuzzy logic is behind such "smart" machines as air conditioners and microwave ovens that gauge their operation to the conditions and demands of a given moment's task. Writing with style and risk, Kosko challenges assumptions, not about the existence of scientific authority, but about its nature."
PUBLISHERS WEEKLY

"Kosko is the quintessential scientific cyber-punk—a street-smart prophet of the information age"
LOS ANGELES TIMES MAGAZINE


ABOUT THE AUTHOR: Dr. Bart Kosko is a professor of electrical and computer engineering, and law, at the University of Southern California, and the 2023 winner of the Hebb Award in neural learning from the International Neural Network society. He holds degrees in philosophy, economics, mathematics, electrical engineering, and law, and has organized several conferences on machine learning, serves on the editorial board of several technical journals, and holds patents on machine learning and quantum computing, and has published numerous scientific articles and textbooks. He is an international bestselling author whose other books include Heaven in a Chip, Noise, the cyber-thriller novel Nanotime, and the global-warming-thriller novel Cool Earth.
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