Epistemic freedom is the freedom to affirm anyone of several incompatible propositions without risk of being wrong. We sometimes have this freedom, strange as it seems, and our having it sheds some light on the topic of free will and determinism. This paper sketches a potential explanation for our feeling of freedom. The freedom that I postulate is not causal but epistemic (in a sense that I shall define), and the result is that it is quite compatible with determinism. I (...) therefore claim that insofar as we feel metaphysically free-free in a sense that would be incompatible with determinism-we are mistaking the epistemic freedom that we have for a kind of freedom that we may lack. This claim will lead me, at the end of the paper, to a projectivist account of moral responsibility. Ascriptions of moral responsibility, I shall suggest, should be treated in the same way as ascriptions of color or other secondary qualities. (shrink)

Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections (...) and statistical associations. Cited in more than 2,100 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readers' questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interest to students and professionals in a wide variety of fields. Dr Judea Pearl has received the 2011 Rumelhart Prize for his leading research in Artificial Intelligence and systems from The Cognitive Science Society. (shrink)