A Statistical Mechanical Interpretation of Algorithmic Information Theory

Category

Algorithms & data structures

Store

Wordery

Brand

Springer nature singapore

A Statistical Mechanical Interpretation of Algorithmic Information Theory : Springer : 9789811507380 : 9811507384 : 21 Nov 2019 : This book is the first one that provides a solid bridge between algorithmic information theory and statistical mechanics. Algorithmic information theory (AIT) is a theory of program size and recently is also known as algorithmic randomness. AIT provides a framework for characterizing the notion of randomness for an individual object and for studying it closely and comprehensively. In this book, a statistical mechanical interpretation of AIT is introduced while explaining the basic notions and results of AIT to the reader who has an acquaintance with an elementary theory of computation. A simplification of the setting of AIT is the noiseless source coding in information theory. First, in the book, a statistical mechanical interpretation of the noiseless source coding scheme is introduced. It can be seen that the notions in statistical mechanics such as entrop

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