Belief Functions and Default Reasoning
  We present a new approach to dealing with default information based on the
theory of belief functions. Our semantic structures, inspired by Adams'
epsilon-semantics, are epsilon-belief assignments, where values committed to
focal elements are either close to 0 or close to 1. We define two systems based
on these structures, and relate them to other non-monotonic systems presented
in the literature. We show that our second system correctly addresses the
well-known problems of specificity, irrelevance, blocking of inheritance,
ambiguity, and redundancy.
