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Cambridge University Press

Algorithmic Information Theory

Algorithmic Information Theory

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Chaitin, the inventor of algorithmic information theory, presents in this book the strongest possible version of G del's incompleteness theorem, using an information theoretic approach based on the size of computer programs. One half of the book is concerned with studying the halting probability of a universal computer if its program is chosen by tossing a coin. The other half is concerned with encoding the halting probability as an algebraic equation in integers, a so-called exponential diophantine equation.

Author: Gregory J. Chaitin
Publisher: Cambridge University Press
Published: 12/02/2004
Pages: 192
Binding Type: Paperback
Weight: 0.78lbs
Size: 9.69h x 7.44w x 0.41d
ISBN: 9780521616041

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