What We Can Discover from Dimensional Analysis of the Information Concept†
AbstractDimensional analysis is a technique used by scientists and engineers to check the rationality of their calculations, but it can also be used to determine the nature of the quantities used. Information is usually measured in bits, or binary digits, but it could be measured using any other base. I will be arguing that, given the possibility of an objective measure of information in terms of asymmetries, and the relation of information to order, Schrὂdinger’s suggestion that negentropy was an appropriate measure should be taken seriously. After clarifying this notion, I use dimensional analysis to show that negentropy has units of degrees of freedom, and that this is a sensible unit of information.
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Collier, J. What We Can Discover from Dimensional Analysis of the Information Concept. Proceedings 2017, 1, 68.
Collier J. What We Can Discover from Dimensional Analysis of the Information Concept. Proceedings. 2017; 1(3):68.Chicago/Turabian Style
Collier, John. 2017. "What We Can Discover from Dimensional Analysis of the Information Concept." Proceedings 1, no. 3: 68.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.