The Thermodynamics of Network Coding, and an Algorithmic Refinement of the Principle of Maximum 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. Because classical e...

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書誌詳細

出版年:	Entropy
主要な著者:	Hector Zenil, Narsis A. Kiani, Jesper Tegnér
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2019-06-01
主題:	second law of thermodynamics reprogrammability algorithmic complexity generative mechanisms deterministic systems algorithmic randomness principle of maximum entropy Maxent
オンライン･アクセス:	https://www.mdpi.com/1099-4300/21/6/560