Abstract
Recently, a heuristic was proposed for constructing Bayesian networks (BNs) from structured arguments. This heuristic helps domain experts who are accustomed to argumentation to transform their reasoning into a BN and subsequently weigh their case evidence in a probabilistic manner. While the underlying undirected graph of the BN is automatically constructed by following the heuristic, the arc directions are to be set manually by a BN engineer in consultation with the domain expert. As the knowledge elicitation involved is known to be time-consuming, it is of value to (partly) automate this step. We propose a refinement of the heuristic to this end, which specifies the directions in which arcs are to be set given specific conditions on structured arguments.
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Notes
- 1.
The terms ‘node’ and ‘variable’ are used interchangeably.
- 2.
In figures in this paper, circles are used in BN graphs, rectangles are used in argument graphs and rounded rectangles are used in SGs. Nodes and propositions corresponding to evidence are shaded. Capital letters are used for the nodes in BN graphs and SGs, and lowercase letters are used for propositions.
- 3.
The prime symbol is used to denote objects which result from applying the support graph method.
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Wieten, R., Bex, F., van der Gaag, L.C., Prakken, H., Renooij, S. (2018). Refining a Heuristic for Constructing Bayesian Networks from Structured Arguments. In: Verheij, B., Wiering, M. (eds) Artificial Intelligence. BNAIC 2017. Communications in Computer and Information Science, vol 823. Springer, Cham. https://doi.org/10.1007/978-3-319-76892-2_3
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