A mathematical treatment of defeasible reasoning and its implementation
Artificial Intelligence
REGRET: reputation in gregarious societies
Proceedings of the fifth international conference on Autonomous agents
Toward Explicit Policy Management for Virtual Organizations
POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
Defeasible logic programming: an argumentative approach
Theory and Practice of Logic Programming
Knowledge distribution in large organizations using defeasible logic programming
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
Argument-based critics and recommenders: a qualitative perspective on user support systems
Data & Knowledge Engineering - Special issue: WIDM 2004
ONTOarg: A decision support framework for ontology integration based on argumentation
Expert Systems with Applications: An International Journal
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Knowledge and Information distribution, which is one of the main processes in Knowledge Management, is greatly affected by power explicit relations, as well as by implicit relations like trust. Making decisions about whether to deliver or not a specific piece of information to users on the basis of a rationally justified procedure under potentially conflicting policies for power and trust relations is indeed a challenging problem. In this paper we model power relations, as well as delegation and trust, in terms of an argumentation formalism, in such a way that a dialectical process works as a decision core, which is used in combination with the existing knowledge and an information distribution system. A detailed example is presented and an implementation reported.