Information and Randomness: An Algorithmic Perspective
Cristian Calude
"Algorithmic information theory (AIT) is the result of putting Shannon's information theory and Turing's computability theory into a cocktail shaker and shaking vigorously", says G.J. Chaitin, one of the fathers of this theory of complexity and randomness, which is also known as Kolmogorov complexity. It is relevant for logic (new light is shed on G"del's incompleteness results), physics (chaotic motion), biology (how likely is life to appear and evolve?), and metaphysics (how ordered is the universe?). This book, benefiting from the author's research and teaching experience in Algorithmic Information Theory (AIT), should help to make the detailed mathematical techniques of AIT accessible to a much wider audience.
Κατηγορίες:
Έτος:
1994
Έκδοση:
1st
Εκδότης:
Springer
Γλώσσα:
english
Σελίδες:
258
ISBN 10:
3540574565
ISBN 13:
9783540574569
Σειρές:
Monographs in Theoretical Computer Science. An EATCS Series
Αρχείο:
DJVU, 1.92 MB
IPFS:
,
english, 1994
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