Knowledge distribution in large organizations using defeasible logic programming

  • Authors:
  • Carlos I. Chesñevar;Ramón F. Brena;Jose L. Aguirre

  • Affiliations:
  • Artificial Intelligence Research Group – Departament of Computer Science, Universitat de Lleida, Lleida, Spain;Centro de Sistemas Inteligentes, Tecnológico de Monterrey, Monterrey, N.L., México;Centro de Sistemas Inteligentes, Tecnológico de Monterrey, Monterrey, N.L., México

  • Venue:
  • AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

Distributing pieces of knowledge in large, usually distributed organizations is a central problem in Knowledge and Organization Management Policies for distributing knowledge and information are very often incomplete, or conflict with each other As a consequence, decision processes for information distribution may be difficult to formalize on the basis of a rationally justified procedure. This paper presents an argumentative approach to cope with the above problem based on Defeasible Logic Programming, a logic programming formalism for defeasible argumentation Conflicts among policies are solved on the basis of a dialectical analysis whose outcome determines to which specific users different pieces of knowledge are to be delivered.