Skip to main content
Article thumbnail
Location of Repository

An Implementation of Statistical Default Logic

By Gregory R. Wheeler and Carlos Damásio

Abstract

Abstract. Statistical Default Logic (SDL) is an expansion of classical (i.e., Reiter) default logic that allows us to model common inference patterns found in standard inferential statistics, e.g., hypothesis testing and the estimation of a population‘s mean, variance and proportions. This paper presents an embedding of an important subset of SDL theories, called literal statistical default theories, into stable model semantics. The embedding is designed to compute the signature set of literals that uniquely distinguishes each extension on a statistical default theory at a pre-assigned error-bound probability.

Publisher: Springer-Verlag
Year: 2004
OAI identifier: oai:CiteSeerX.psu:10.1.1.170.4472
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://centria.di.fct.unl.pt/%... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.