Leslie Valiants Probably Approximately Correct is a detailed, much-needed guide to how nature brought us here, and where technology is taking us next. This is science at its best, driven not by dogma and blind belief, but by the desire to understand, intellectual integrity and reliance on facts The book is written in a lively, accessible style and is surprisingly entertaining.
- Probably Approximately Correct by Leslie G. Valiant | Waterstones;
- What's Inside!
- Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World.
- Strategies and Applications in Quantum Chemistry.
But Valiant offers no drop of succor to creationists. Turings heirs have only just begun to plot its equation. His text is clear and approachable, with some work; the argument is sweeping. A hundred years of genetics has filled in some details, but Valiant sees the computational details as essential and still missing. The goal of this book is to encourage further research and to set a paradigm for such work.
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Highly recommended. 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.
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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.
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!
Probably Approximately Correct: Nature’s Algorithms for Learning and Prospering in a Complex World
It was eye-opening to me, as a mathematician, to learn how we think and reason, and as a grandfather, to understand better the development and learning of my four-month-old grandson. Valiants book offers deep insights, both for young and old. His book offers a broad look at how ecorithms may be applied successfully to a variety of challenging problems. We have effective theories for very few things.
Probably Approximately Correct by Leslie Valiant | Basic Books
Gravity is one, electromagnetism another. Fortunately, we dont need them, any more than a fish needs a theory of water to swim; we muddle through. But how do we do it?
In Probably Approximately Correct , computer scientist Leslie Valiant presents a theory of the theoryless. This model reveals the shared computational nature of evolution and learning, shows how computers might possess authentic intelligence, and sheds some light on human nature, shaped as it has been by evolution and adaptation. Offering an elegant, powerful model that encompasses all of lifes complexity, Probably Approximately Correct will revolutionize the way we look at the universes greatest mysteries.
But you're in control Do you ever think you're the only one making any sense? Or tried to reason with your partner with disastrous results? Do long, rambling Susan Cain shows how the brain chemistry of introverts and extroverts differs, and how society misunderstands and undervalues introverts. She gives introverts the tools to Dividing the sum total of human musical achievement, from Beethoven to The Beatles, Busta Rhymes to Bach, into just six fundamental forms, Levitin illuminates, through Wouldn't you like to boost your confidence simply by slipping on 'that' green jumper?
Or when you get home after a stressful day, be Why are self-confident ignoramuses so often believed?
Why are thoughtful experts so often given the cold shoulder? And why do apparently irrelevant details such as When a computer goes wrong, we are told to turn it off and on again.
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- Probably Approximately Correct?
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