News 2019

Thermodynamics of network coding and reprogramming systems – refining the principle of maximum entropy using algorithmic complexity – published in Entropy

​The principle of maximum entropy (Maxent) is often used to obtain prior probability distributions as a method to obtain a Gibbs measure under some restriction giving the probability that a system will be in a certain state compared to the rest of the elements in the distribution. Using the distinction between computable and algorithmic randomness, we quantify the cost in information loss associated with reprogramming. 

Read an article