Probably Approximately Correct

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A01=Leslie Valiant
Age Group_Uncategorized
Age Group_Uncategorized
Author_Leslie Valiant
automata
automatic-update
Category=PSAJ
Category=UYQ
complexity theory
computational complexity
computational learning
computational theory
COP=United States
Delivery_Pre-order
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
evolutionary computing
evolvability
Format=BC
Format_Paperback
knowledge
Language_Others
machine learning
neural network
PA=Temporarily unavailable
perceptron
Price_€10 to €20
PS=Active
softlaunch
theoretical computer science
theory of computing

Product details

  • ISBN 9780465060726
  • Format: Paperback
  • Weight: 220g
  • Dimensions: 138 x 206mm
  • Publication Date: 14 Nov 2014
  • Publisher: Basic Books
  • Publication City/Country: US
  • Product Form: Paperback
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From a leading computer scientist, a unifying theory that will revolutionize our understanding of how life evolves and learns.How does life prosper in a complex and erratic world? While we know that nature follows patterns,such as the law of gravity,our everyday lives are beyond what known science can predict. We nevertheless muddle through even in the absence of theories of how to act. But how do we do it?In Probably Approximately Correct , computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is probably approximately correct" algorithms, a concept Valiant developed to explain how effective behaviour can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant's theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life's complexity, Probably Approximately Correct has profound implications for how we think about behaviour, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.
Leslie Valiant is the T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics at Harvard University. He is a Fellow of the Royal Society and a member of the National Academy of Sciences. He is a winner of the Nevanlinna Prize from the International Mathematical Union, and the Turing Award, known as the Nobel of computing.

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