Probably Approximately Correct PDF ePub eBook

Books Info:

Probably Approximately Correct free pdf 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 behavior 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 behavior, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.

About Leslie G. Valiant

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.

Details Book

Author : Leslie G. Valiant
Publisher : Basic Books
Data Published : 27 November 2014
ISBN : 0465060722
EAN : 9780465060726
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 208 pages
Age + : 15 years
Language : English
Rating :

Reviews Probably Approximately Correct

17 Comments Add a comment

Related eBooks Download

  • Computational Complexity free pdfComputational Complexity

    This text offers a comprehensive and accessible treatment of the theory of algorithms and complexity - the elegant body of concepts and methods developed by computer scientists over the past 30 years for studying the performance and limitations of computer algorithms..

  • The Importance of Evolution Theory free pdfThe Importance of Evolution Theory

    The theory of evolution dramatically changed the way scientists and others thought about the natural world. the biological processes that bring about change. and the myriad of different species that live upon the Earth..

  • Artificial Intelligence '92 free pdfArtificial Intelligence '92

    Presents papers on academic research topics and practical applications in AI. Special emphasis is given to computer vision. machine learning. neural networks mixed with theory of logic and reasoning..

  • How to Write Better Business Letters free pdfHow to Write Better Business Letters

    Updated to meet today's business needs and reflect the use of current technology. this book presents approximately 75 model letters that demonstrate correct formats and modes of expression used in business correspondence..

  • Origins of Intelligence free pdfOrigins of Intelligence

    Since Darwin's time. comparative psychologists have searched for a good way to compare cognition in humans and nonhuman primates. In Origins of Intelligence. Sue Parker and Michael McKinney offer such a framework and make a strong case for using human development theory (both Piagetian and neo-Piagetian) to study the evolution of intelligence across primate species..

  • Probably Approximately Correct free pdfProbably Approximately Correct

    . 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 th