Table of contents
About this book
This book presents the scientific outcome of a joint effort of the computer science departments of the universities of Berne, Fribourg and Neuchâtel.
Within an initiative devoted to "Information and Knowledge", these research groups collaborated over several years on issues of logic, probability, inference, and deduction. The goal of this volume is to examine whether there is any common ground between the different approaches to the concept of information.
The structure of this book could be represented by a circular model, with an innermost syntactical circle, comprising statistical and algorithmic approaches; a second, larger circle, the semantical one, in which "meaning" enters the stage; and finally an outermost circle, the pragmatic one, casting light on real-life logical reasoning.
These articles are complemented by two philosophical contributions exploring the wide conceptual field as well as taking stock of the articles on the various formal theories of information.
Editors and affiliations
- Book Title Formal Theories of Information
- Book Subtitle From Shannon to Semantic Information Theory and General Concepts of Information
- Series Title Lecture Notes in Computer Science
- DOI https://doi.org/10.1007/978-3-642-00659-3
- Copyright Information Springer-Verlag Berlin Heidelberg 2009
- Publisher Name Springer, Berlin, Heidelberg
- eBook Packages Computer Science Computer Science (R0)
- Softcover ISBN 978-3-642-00658-6
- eBook ISBN 978-3-642-00659-3
- Series ISSN 0302-9743
- Series E-ISSN 1611-3349
- Edition Number 1
- Number of Pages VII, 269
- Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
Coding and Information Theory
Programming Languages, Compilers, Interpreters
Mathematical Logic and Formal Languages
Discrete Mathematics in Computer Science
Theory of Computation
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From the reviews:
“This new anthology on formal theories of information is based upon research presented at the May 2006 Muenchenwiler seminar of the Information and Knowledge research groups of the computer science departments of the universities of Bern, Fribourg, and Neuchatel. … This is probably the clearest account of algorithmic information theory that one will come across. … Formal theories of information and their philosophical analysis are being developed right now, and this is what makes a volume of this quality so welcome.” (Sebastian Sequoiah-Grayson, Minds and Machines, Vol. 22, 2012)