Information and Randomness
An Algorithmic Perspective
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Author
Publication
1994 - Springer Berlin Heidelberg, Berlin, Heidelberg, Germany
Language
English
Word Count
60,750 words, Guess
Page Count
243 pages
Physical Format
Electronic resource
Identifiers
- Open LibraryOL27045462M
- Internet Archiveinformationrando00calu_726
- ISBN-103662030519
- ISBN-103662030497
- ISBN-139783662030516
and 3 more
- ISBN-139783662030493
- OCLC Control Number851390675
- Better World Books9783662030493
Classifications
- DDC005.131
- LCCQA8.9-QA10.3
- LCCQA75.5-76.95
Description
"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 Gödel'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.
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