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.

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