Learn

Resources for learning about AIXI, Solomonoff induction, and related topics.

Historical Foundations

Ray Solomonoff (1926–2009) founded algorithmic probability—the theory that underlies Solomonoff induction and, ultimately, AIXI. His universal prior M(x) formalizes Occam’s razor: simpler hypotheses receive higher prior probability.

Reading Group

We hold regular online meetings on Solomonoff induction, AIXI, and related topics. Open to the public.

uaiasi.com — Join our community hub for Universal Algorithmic Intelligence. Reach out for meeting links.

Key Resources

• Introduction to Universal Artificial Intelligence - Marcus Hutter’s comprehensive introduction to Solomonoff induction, AIXI, and related theory.
• An Introduction to Kolmogorov Complexity and Its Applications - The canonical reference on algorithmic information theory, currently studied in our reading group.
• InfoTheory - An algorithmic information theory library implementing approximations, estimators, and a comprehensive MC-AIXI agent platform (ROSA, CTW, RWKV backends).