**The Limits of Mathematics**

by Gregory J. Chaitin

**Publisher**: Springer 2003**ISBN/ASIN**: 1852336684**ISBN-13**: 9781852336684**Number of pages**: 270

**Description**:

This book is the final version of a course on algorithmic information theory and the epistemology of mathematics and physics. It discusses Einstein and Goedel's views on the nature of mathematics in the light of information theory, and sustains the thesis that mathematics is quasi-empirical.

Download or read it online for free here:

**Download link**

(600KB, PDF)

## Similar books

**A Mathematical Theory of Communication**

by

**Claude Shannon**

Shannon presents results previously found nowhere else, and today many professors refer to it as the best exposition on the subject of the mathematical limits on communication. It laid the modern foundations for what is now coined Information Theory.

(

**49263**views)

**Information Theory, Inference, and Learning Algorithms**

by

**David J. C. MacKay**-

**Cambridge University Press**

A textbook on information theory, Bayesian inference and learning algorithms, useful for undergraduates and postgraduates students, and as a reference for researchers. Essential reading for students of electrical engineering and computer science.

(

**14080**views)

**Information Theory and Statistical Physics**

by

**Neri Merhav**-

**arXiv**

Lecture notes for a graduate course focusing on the relations between Information Theory and Statistical Physics. The course is aimed at EE graduate students in the area of Communications and Information Theory, or graduate students in Physics.

(

**7155**views)

**Entropy and Information Theory**

by

**Robert M. Gray**-

**Springer**

The book covers the theory of probabilistic information measures and application to coding theorems for information sources and noisy channels. This is an up-to-date treatment of traditional information theory emphasizing ergodic theory.

(

**10776**views)