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Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World Hardcover – 4 Jun 2013

3.9 out of 5 stars 5 customer reviews

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Product details

  • Hardcover: 208 pages
  • Publisher: Basic Books (4 Jun. 2013)
  • Language: English
  • ISBN-10: 0465032710
  • ISBN-13: 978-0465032716
  • Product Dimensions: 16.5 x 2.2 x 24.1 cm
  • Average Customer Review: 3.9 out of 5 stars 5 customer reviews
  • Amazon Bestsellers Rank: 1,125,298 in Books (See Top 100 in Books)
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"This remarkable book is carefully constructed to give the lay person a sense of subtle problems in mathematics and artificial intelligence, and offers a framework for biologists and computer scientists to use in jointly investigating the most fascinating and enigmatic biological questions."--Marc Kirschner, Chair, Department of Systems Biology, Harvard Medical School, and coauthor of "The Plausibility of Life: Resolving Darwin's Dilemma"
"This book contains a lot of fresh thinking and elegant, nuanced ideas. It is more than probably approximately brilliant. I am amazed by how much insight has been packed into relatively few pages. Anyone interested in computation, learning, evolution, or human nature should find these pages extraordinarily stimulating and informative."--Stephen M. Kosslyn, Founding Dean, Minerva University, and former director, Center for Advanced Study in the Behavioral Sciences, Stanford University
"Ecorithms are algorithms that learn from interaction with their environment. This book provides a theoretical framework for understanding the power and limits of ecorithms and applies it to human cognition, biological evolution and artificial intelligence. It is elegantly written and will be accessible to a wide circle of readers."--Richard Karp, Turing Award winner and director, Simons Institute for the Theory of Computing, University of California, Berkeley
"This little book is hugely ambitious. It takes on the task of creating a quantitative, mathematical theory to explain all essential mechanisms governing the behavior of all living organisms: survival, learning, adaptation, evolution, cognition and intelligence. The suggested theory has all the characteristics of a great one. It is simple, general, and falsifiable, and moreover seems probably, approximately, correct!" --Avi Wigderson, Nevanlinna Prize winner and Professor of Mathematics, Institute for Advanced Study, Princeton
"The quest for machines (and codes) that ne

Book Description

A leading computer scientist shows why understanding computation is the key to understanding life

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5 customer reviews

3.9 out of 5 stars

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24 February 2017
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15 December 2018
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18 October 2015
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3 November 2013
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