Skip to main content

Consistent subsets of inconsistent systems: structure and behaviour

Buy Article:

$71.00 + tax (Refund Policy)

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.

Keywords: MAX-SAT extensions; algorithms; knowledge pollution; maximally consistent subsets; reasoning with inconsistency

Document Type: Research Article

Affiliations: School of Engineering and Computer Science, The Hebrew University, Jerusalem 91904, Israel e-mail: [email protected]; [email protected]

Publication date: 01 January 2003

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content