Revising knowledge in multi-agent systems using revision programming with preferences

  • Authors:
  • Inna Pivkina;Enrico Pontelli;Tran Cao Son

  • Affiliations:
  • Department of Computer Science, New Mexico State University;Department of Computer Science, New Mexico State University;Department of Computer Science, New Mexico State University

  • Venue:
  • CLIMA IV'04 Proceedings of the 4th international conference on Computational Logic in Multi-Agent Systems
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we extend the Revision Programming framework—a logic-based framework to express and maintain constraints on knowledge bases—with different forms of preferences. Preferences allow users to introduce a bias in the way agents update their knowledge to meet a given set of constraints. In particular, they provide a way to select one between alternative feasible revisions and they allow for the generation of revisions in presence of conflicting constraints, by relaxing the set of satisfied constraints (soft constraints). A methodology for computing preferred revisions using answer set programming is presented.