Annotated revision programs

Victor Marek, Inna Pivkina, Mirosław Truszczyński

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Revision programming is a formalism to describe and enforce updates of belief sets and databases. That formalism was extended by Fitting who assigned annotations to revision atoms. Annotations provide a way to quantify the confidence (probability) that a revision atom holds. The main goal of our paper is to reexamine the work of Fitting, argue that his semantics does not always provide results consistent with intuition, and to propose an alternative treatment of annotated revision programs. Our approach differs from that proposed by Fitting in two key aspects: we change the notion of a model of a program and we change the notion of a justified revision. We show that under this new approach fundamental properties of justified revisions of standard revision programs extend to the annotated case.

Original languageEnglish
Pages (from-to)149-180
Number of pages32
JournalArtificial Intelligence
Volume138
Issue number1-2
DOIs
StatePublished - Jun 2002

Bibliographical note

Funding Information:
This work was partially supported by the NSF grants CDA-9502645 and IRI-9619233.

Keywords

  • Annotated programs
  • Belief revision
  • Database updates
  • Knowledge representation
  • Revision programming

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language
  • Artificial Intelligence

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