We introduce a new approach to modeling uncertainty based on plausibility measures. This approach is easily seen to generalize other approaches to modeling uncertainty, such as pr...
In recent years, a number of different semantics for defaults have been proposed, such as preferential structures, semantics, possibilistic structures, and
Friedman and Halpern have introduced the inference by plausibility structures, which provides semantics for various default logics. This is a generalization of known inferences, su...
In this paper I argue that we do not understand the process of default reasoning. A number of examples are given which serve to distinguish di erent default reasoning systems. It ...
This paper describes a default-logic framework (plausibility schemas) and software tools (Decision ApprenticeTM and Legal ApprenticeTM ) for modeling, guiding and automating the r...