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arXiv · 1304.3424

Foundations of Probability Theory for AI - The Application of Algorithmic Probability to Problems in Artificial Intelligence

Ray Solomonoff
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Abstract

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.

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Ray Solomonoff. 2013-03-27. Foundations of Probability Theory for AI - The Application of Algorithmic Probability to Problems in Artificial Intelligence. https://arxiv.org/abs/1304.3424

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