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.
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Chesñevar, C.I., Brena, R.F., Aguirre, J.L. (2005). Knowledge Distribution in Large Organizations Using Defeasible Logic Programming. In: Kégl, B., Lapalme, G. (eds) Advances in Artificial Intelligence. Canadian AI 2005. Lecture Notes in Computer Science(), vol 3501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424918_26
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DOI: https://doi.org/10.1007/11424918_26
Publisher Name: Springer, Berlin, Heidelberg
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