Foundations of Probability Theory for AI - The Application of Algorithmic Probability to Problems in Artificial Intelligence
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Abstract (arXiv)
This paper covers two topics: first an introduction to Algorithmic Complexity Theory: how it defines probability, some of its characteristic properties and past successful applications. Second, we apply it to problems in A.I. - where it promises to give near optimum search procedures for two very broad classes of problems.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 27 Mar 2013.
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