Solomonoff induction successfully addresses the philosophical problem of induction by combining algorithmic information theory with Bayesian inference to provide a formal framework for inductive learning.
The retrieved literature indicates that Solomonoff induction is widely recognized in theoretical computer science and epistemology as providing a successful formal and mathematical framework for inductive inference, addressing traditional paradoxes of induction. No provided papers refute this view.