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

arXiv: https://arxiv.org/abs/1304.3424 · HTML: https://mlsanity.com/paper/1304.3424/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 Mar 2013.

## Built on by (most cited first, 1 of 1)

- [FACT: Learning Governing Abstractions Behind Integer Sequences](https://mlsanity.com/paper/2209.09543/) (2022)

## 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.