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

Editore: Springer Verlag, Singapore, 1997

Riguardo questo articolo

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. . . . . Codice articolo KSG0034805

Dati bibliografici

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

Casa editrice: Springer Verlag, Singapore

Data di pubblicazione: 1997

Legatura: Rilegato

Condizione: Very Good

Condizione sovraccoperta: sovraccoperta

Descrizione articolo

Riassunto:

This text 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. The book presents a "hands on" didatic approach using LISP and Mathematica software, and the reader should be able to derive an understanding of the close relationship between mathematics and physics.

Recensione:

"...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