Algorithmic Information Theory

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Algorithmic Information Theory

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ISBN: 9780521616041
Autore: Gregory. J. Chaitin
Casa editrice: Cambridge University Press
data di pubblicazione: 2004
Serie: Cambridge Tracts in Theoretical Computer Science
Prezzo: USD 43.00
Numero di pagine: 192

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Gregory. J. Chaitin   

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Chaitin, the inventor of algorithmic information theory, presents in this book the strongest possible version of Godel'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.

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