How should we change our beliefs in the light of new information? This is one of the central questions of epistemology, and has great practical importance. For example, consider a doctor who has a patient who is concerned he might have cancer. The doctor has certain beliefs: for example, she may think that her patient… Continue reading Paper Review: Why Conditionalize?
The infamous no free lunch theorem (NFL theorem) asserts that all computable prediction methods have equal expected success. Computer scientists, and occasionally philosophers, often describe this result as a computer-science cousin of Hume's problem of induction. Given this theorem, one might think that trying to design a better or worse prediction algorithm for general prediction tasks is pointless:… Continue reading Paper Review: No Free Lunch Theorem, Inductive Skepticism, and the Optimality of Meta-induction