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A Framework to Present Bayesian Networks to Domain Experts and Potential Users

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FOSW02 - Bayesian Networks and Argumentation in Evidence Analysis

Knowledge and assumptions behind most Bayesian network models are often not clear to anyone other than their developers. This limits their use as decision support tools in clinical and legal domains where the outcomes of decisions can be critical. We propose a framework for representing knowledge supporting or conflicting with BN, and knowledge associated with factors that are relevant but excluded from the BN. The aim of this framework is to enable domain experts and potential users to browse, review, criticise and modify a BN model without having deep technical knowledge about BNs.

Co-authors: Zane Perkins (Queen Mary University of London), Nigel Tai (The Royal London Hospital), William Marsh (Queen Mary University of London)

This talk is part of the Isaac Newton Institute Seminar Series series.

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