Logic and Information by Keith Devlin

Logic and Information

Logic and Information by Keith Devlin
Publisher: ESSLLI 2001
ISBN/ASIN: 0521499712
An introductory, comparative account of three mathematical approaches to information: the classical quantitative theory of Claude Shannon, developed in the 1940s and 50s, a quantitative-based, qualitative theory developed by Fred Dretske in the 1970s, and a qualitative theory introduced by Jon Barwise and John Perry in the early 1980s and pursued by Barwise, Israel, Devlin, Seligman and others in the 1990s.
Computers & Internet Computer Science Information & Coding Theory



More Free E-Books For Information & Coding Theory


Similar Books For Information & Coding Theory

1. Information, Entropy and Their Geometric Structures by Frederic Barbaresco, Ali Mohammad-Djafari
2. Essential Coding Theory by Venkatesan Guruswami, Atri Rudra, Madhu Sudan
3. Data Compression Explained by Matt Mahoney
4. A primer on information theory, with applications to neuroscience by Felix Effenberger
5. Data Compression by
6. From Classical to Quantum Shannon Theory by Mark M. Wilde
7. Logic and Information by Keith Devlin
8. Conditional Rate Distortion Theory by Robert M. Gray
9. Algorithmic Information Theory by Peter D. Gruenwald, Paul M.B. Vitanyi
10. The Limits of Mathematics by Gregory J. Chaitin
11. Quantum Information Theory by Renato Renner
12. Theory of Quantum Information by John Watrous
13. Generalized Information Measures and Their Applications by Inder Jeet Taneja
14. Information Theory, Excess Entropy and Statistical Complexity by David Feldman
15. Information Theory and Statistical Physics by Neri Merhav
16. Quantum Information Theory by Robert H. Schumann
17. Lecture Notes on Network Information Theory by Abbas El Gamal, Young-Han Kim
18. Information-Theoretic Incompleteness by Gregory J. Chaitin
19. A Short Course in Information Theory by David J. C. MacKay
20. Exploring Randomness by Gregory J. Chaitin
21. Entropy and Information Theory by Robert M. Gray
22. Information Theory and Coding by John Daugman
23. Network Coding Theory by Raymond Yeung, S-Y Li, N Cai
24. Algorithmic Information Theory by Gregory. J. Chaitin
25. A Mathematical Theory of Communication by Claude Shannon
26. Information Theory, Inference, and Learning Algorithms by David J. C. MacKay



Categories