Explaining Bayesian decisions appropriate to users’ levels of expertise
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2022-06-28
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en
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This thesis proposes a computational-level formalisation to address the lack
of a user model in the present formalisation of MAP-Independence (Kwisthout,
2021) as it attempts to explicate all the intermediate variables which were
relevant to some inferential decision made by a Decision Support System
(DSS) based on a Bayesian network. The approach taken to mend this gap
involves having the user indicate their level of domain knowledge to the
DSS, which in turn is taken into account when a optimal justification is
being computed for the user such that it matches their expertise in the field.
In the process, many potential justifications are generated and a coherence
measure is used to rank them. The likeness that decision making in human
cognition shares with the notion of coherence motivated this choice over
other Bayesian/likelihood based measures.
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Faculteit der Sociale Wetenschappen