The Limits of Mathematics: A course on information theory and the limits of formal reasoning (Discrete Mathematics and Theoretical Computer Science)

Chaitin, Gregory J.

ISBN 10: 981308359X / ISBN 13: 9789813083592

Published by Springer, 1997

About this Item

First ed. (assumed), signed, w/ unclipped dj. Signed by Gregory Chaitin on ffep with short inscription. Bottom of copyright page has the number code 543210 and another code SPIN 10645967.Book is in near fine condition. Dj with a 1/2 inch tear on the top left edge of front and minimal wear. lh. Seller Inventory # D21237

Bibliographic Details

Title: The Limits of Mathematics: A course on ...

Publisher: Springer

Publication Date: 1997

Binding: hardcover

Condition: Very Good

About this title

Synopsis:

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. There is a foreword by Cris Calude of the University of Auckland, and supplementary material is available at the author's web site. The special feature of this book is that it presents a new "hands on" didatic approach using LISP and Mathematica software. The reader will be able to derive an understanding of the close relationship between mathematics and physics. "The Limits of Mathematics is a very personal and idiosyncratic account of Greg Chaitin's entire career in developing algorithmic information theory. The combination of the edited transcripts of his three introductory lectures maintains all the energy and content of the oral presentations, while the material on AIT itself gives a full explanation of how to implement Greg's ideas on real computers for those who want to try their hand at furthering the theory." John Casti, Santa Fe Institute

Review:

"...a very personal and idiosyncratic account of Greg Chaitins entire career in developing algorithmic information theory. The combination of the edited transcripts of his three introductory lectures maintains all the energy and content of the oral presentations, while the material on AIT itself gives a full explanation of how to implement Gregs ideas on real computers ..." John Casti, Santa Fe Institute