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 Verlag, Singapore, 1997

About this Item

Final version of a course on algorithmic information theory and the epistemology of mathematics and physics. The book presents a "hands on" didactic approach using LISP and Mathematica software, enabling the reader to derive an understanding of the relationship between mathematics and physics. Series: Discrete Mathematics & Theoretical Computer Science S. Num Pages: 160 pages, 1 colour figure. BIC Classification: PBB; PBCD; UGK; UMB; UMX; UYA. Category: (P) Professional & Vocational. Dimension: 230 x 165 x 15. Weight in Grams: 454. Good clean copy with minor shelfwear. DJ has some minor nicks and tears, remains very good. 1997. hardcover. . . . . Books ship from the US and Ireland. Seller Inventory # KSG0034805

Bibliographic Details

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

Publisher: Springer Verlag, Singapore

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