HIGHLIGHTS
- who: Entropy and collaborators from the Electrical and Computer Engineering Department, Drexel university, Philadelphia, PA USA have published the research: Empirical Evidence for a Law of Information Growth, in the Journal: (JOURNAL)
SUMMARY
Despite this there are many examples of change where a system lowers its entropy. Since entropy is a measure of the randomness and uncertainty of the system or universe being considered, its relation to the information in the system description has been studied since Boltzmann related it to the density of microstates constituting that system. Modern analysis has closely related . . .
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