Consistent subsets of inconsistent systems: Structure and behaviour

Research output: Contribution to journalArticlepeer-review

74 Scopus citations

Abstract

A large Knowledge System operating for a long time almost inevitably becomes 'polluted' by wrong data that make the system inconsistent. Despite this fact, a sizeable part of the system remains unpolluted, and retains useful information. It is widely adopted that a maximally consistent subset of a system (mc-subset) contains a significant portion of unpolluted data. So, determining mc-subsets is a necessary step towards reasoning with inconsistent knowledge. We consider extensions of the MAX-SAT problem, investigate characteristic features of mc-subsets, present algorithms for computing all or major mc-subsets of inconsistent sets of clauses, and, report results of experiments evaluating parameters of mc-subsets.

Original languageEnglish
Pages (from-to)25-46
Number of pages22
JournalJournal of Experimental and Theoretical Artificial Intelligence
Volume15
Issue number1
DOIs
StatePublished - Jan 2003

Keywords

  • Algorithms
  • Knowledge pollution
  • MAX-SAT extensions
  • Maximally consistent subsets
  • Reasoning with inconsistency

Fingerprint

Dive into the research topics of 'Consistent subsets of inconsistent systems: Structure and behaviour'. Together they form a unique fingerprint.

Cite this