SciELO - Scientific Electronic Library Online

 issue48A Logic Programming Approach to the Conservation of Buildings Based on an Extension of the Eindhoven Classification ModelMultiscale RBF Neural Network for Forecasting of Monthly Hake Catches off Southern Chile author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand




Related links

  • Have no similar articlesSimilars in SciELO



On-line version ISSN 1870-9044


NIEVES, Juan Carlos  and  LINDGREN, Helena. Merging Deductive and Abductive Knowledge Bases: An Argumentation Context Approach. Polibits [online]. 2013, n.48, pp.39-40. ISSN 1870-9044.

The consideration of heterogenous knowledge sources for supporting decision making is key to accomplish informed decisions, e.g., about medical diagnosis. Consequently, merging different data from different knowledge bases is a key issue for providing support for decision-making. In this paper, we explore an argumentation context approach, which follows how medical professionals typically reason, in order to merge two basic kinds of reasoning approaches based on logic programs: deductive and abductive inferences. In this setting, we introduce two kinds of argumentation frameworks: deductive argumentation frameworks and abductive argumentation frameworks. For merging these argumentation frameworks, we follow an approach based on argumentation context systems. We illustrate the approach by considering two different declarative specifications of evidence-based medical knowledge into logic programs in order to support informed medical decisions

Keywords : Knowledge representation; deductive knowledge bases; abductive knowledge bases.

        · text in English     · English ( pdf )


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License