Defaults and Infinitesimals: Defeasible Inference by Nonarchimedean
  Entropy-Maximization
  We develop a new semantics for defeasible inference based on extended
probability measures allowed to take infinitesimal values, on the
interpretation of defaults as generalized conditional probability constraints
and on a preferred-model implementation of entropy maximization.
