
25 - Cooperative AI with Caspar Oesterheld
AXRP - the AI X-risk Research Podcast
Logical Induction and Regret Minimization
This chapter discusses the differences between logical induction and regret minimization, focusing on beliefs and decision-making respectively. It explores the exploration cost associated with hypotheses and the need to fund them. The chapter also compares logical inductors to decision auction algorithms and explores the convergence properties of bounded rational inductive agents.
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