Algorithmic information theory (AIT), or Kolmogorov complexity as it is known to mathematicians, can provide a useful tool for scientists to look at natural systems, however, some critical conceptual issues need to be understood and the advances already made collated and put in a form accessible to scientists. This book has been written in the hope that readers will be able to absorb the key ideas behind AIT so that they are in a better position to access the mathematical developments and to apply the ideas to their own areas of interest. The theoretical underpinning of AIT is outlined in the earlier chapters, while later chapters focus on the applications, drawing attention to the thermodynamic commonality between ordered physical systems such as the alignment of magnetic spins, the maintenance of a laser distant from equilibrium, and ordered living systems such as bacterial systems, an ecology, and an economy.
Key Features
| ISBN: | 9780750326384 |
| Publication date: | 11th June 2020 |
| Author: | Sean D Devine |
| Publisher: | IOP Publishing an imprint of Institute of Physics Publishing |
| Format: | Hardback |
| Pagination: | 238 pages |
| Series: | IOP Ebooks |
| Genres: |
Information theory Computer modelling and simulation |
Algorithmic information theory (AIT), or Kolmogorov complexity as it is known to mathematicians, can provide a useful tool for scientists to look at natural systems, however, some critical conceptual issues need to be understood and the advances already made collated and put in a form accessible to scientists. This book has been written in the hope that readers will be able to absorb the key ideas behind AIT so that they are in a better position to access the mathematical developments and to apply the ideas to their own areas of interest. The theoretical underpinning of AIT is outlined in the earlier chapters, while later chapters focus on the applications, drawing attention to the thermodynamic commonality between ordered physical systems such as the alignment of magnetic spins, the maintenance of a laser distant from equilibrium, and ordered living systems such as bacterial systems, an ecology, and an economy.
Key Features
Algorithmic Information Theory for Physicists and Natural Scientists features in the following genres: Information theory, Computer modelling and simulation
Algorithmic Information Theory for Physicists and Natural Scientists is available in Hardback
Algorithmic Information Theory for Physicists and Natural Scientists was written by Sean D Devine and published by IOP Publishing an imprint of Institute of Physics Publishing
Algorithmic Information Theory for Physicists and Natural Scientists has 238 pages
Yes it is part of IOP Ebooks series
£108.00