"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 complexit
Information, randomness and incompleteness. Papers on algorithmic information theory
β Scribed by Gregory J. Chaitin
- Book ID
- 127425175
- Publisher
- World Scientific
- Year
- 1990
- Tongue
- English
- Weight
- 2 MB
- Series
- World Scientific Series in Computer Science
- Edition
- 2 Sub
- Category
- Library
- ISBN
- 9810201540
No coin nor oath required. For personal study only.
β¦ Synopsis
This book contains in easily accessible form all the main ideas of the creator and principal architect of algorithmic information theory. This expanded second edition has added thirteen abstracts, a 1988 SCIENTIFIC AMERICAN article, a transcript of a EUROPALIA 89 lecture, and an essay on biology. Its new larger format makes it easier to read. Chaitin's ideas are a fundamental extension of those of GΓΆdel and Turing and have exploded some basic assumptions of mathematics and thrown new light on the scientific method, epistemology, probability theory, and of course computer science and information theory.
π SIMILAR VOLUMES
he goal of this paper is to provide a simple introduction to Algorithmic Information Theory (AIT) that will highlight some of the main ideas without presenting too many details. More technical treatments of these ideas can be found in References [1], [2], [3] and [4], which are listed at the end of
This paper reviews some theoretical and experimental developments in building computable approximations of Kolmogorov's algorithmic notion of randomness. Based on these approximations a new set of machine learning algorithms have been developed that can be used not just to make predictions but also