AI RESEARCH
Solomonoff induction
arXiv CS.LG
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ArXi:2603.20274v1 Announce Type: cross This chapter discusses the Solomonoff approach to universal prediction. The crucial ingredient in the approach is the notion of computability, and I present the main idea as an attempt to meet two plausible computability desiderata for a universal predictor. This attempt is unsuccessful, which is shown by a generalization of a diagonalization argument due to Putnam.