Title
Kolmogorov Complexity and Information Theory.With an Interpretation in Terms of Questions and Answers
Abstract
We compare the elementary theories of Shannon information and Kolmogorov complexity, the extent to which they have a common purpose, and wherethey are fundamentally different. We discuss and relate the basicnotions of both theories: Shannon entropy, Kolmogorov complexity, Shannon mutual informationand Kolmogorov (``algorithmic'') mutual information. We explainhow universal coding may be viewed as a middle ground betweenthe two theories. We consider Shannon's rate distortion theory, whichquantifies useful (in a certain sense) information.We use the communication of information as our guiding motif, and we explain howit relates to sequential question-answer sessions.
Year
DOI
Venue
2003
10.1023/A:1025011119492
Journal of Logic, Language and Information
Keywords
DocType
Volume
kolmogorov complexity,middle ground betweenthe,information theory,elementary theory,mutual information,certain sense,guiding motif,shannon entropy,common purpose,shannon mutual informationand,shannon information,rate distortion theory,data compression,shannon information theory,algorithmic information theory
Journal
12
Issue
ISSN
Citations 
4
1572-9583
11
PageRank 
References 
Authors
2.08
8
2
Name
Order
Citations
PageRank
Peter Grunwald111311.40
Paul M. B. Vit&#225/nyi2384.33