Paper Review: Why Conditionalize?

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?

Paper Review: No Free Lunch Theorem, Inductive Skepticism, and the Optimality of Meta-induction

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