Fact finding in judicial proceedings is a dynamic process. This
collection of papers considers whether computational methods or other
formal logical methods developed in disciplines such as artificial
intelligence, decision theory, and probability theory can facilitate the
study and management of dynamic evidentiary and inferential processes in
litigation. The papers gathered here have several epicenters, including
(i) the dynamics of judicial proof, (ii) the relationship between
artificial intelligence or formal analysis and "common sense," (iii) the
logic of factual inference, including (a) the relationship between
causality and inference and (b) the relationship between language and
factual inference, (iv) the logic of discovery, including the role of
abduction and serendipity in the process of investigation and proof of
factual matters, and (v) the relationship between decision and
inference.