Resolving Connicting Arguments under Uncertainties

Distributed knowledge based applications in open domain rely on common sense information which is bound to be uncertain and incomplete. To draw the useful conclusions from ambiguous data, one must address uncertainties and connicts incurred in a holis-tic view. No integrated frameworks are viable without an in-depth analysis of con-icts incurred by uncertainties. In this paper , we give such an analysis and based on the result, propose an integrated framework. Our framework extends deenite argumenta-tion theory to model uncertainty. It supports three views over connicting and uncertain knowledge. Thus, knowledge engineers can draw diierent conclusions depending on the application context (i.e. view). We also give an illustrative example on strategical decision support to show the practical usefulness of our framework.