BLAH, A System Which Explains its Reasoning

By James L. Weiner. 1980

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Citations in the corpus

Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, methodology): “tailor explanation to the specic person, which is an example of using epistemic relevance to select explanations. Cawsey was not the rst to consider user knowledge; for example, Weiner’s BLAH system [185] for incremental explanation also had a simple user model for knowledge that is used to tailor e”
Explaining reasoning: an overview of explanation in knowledge-based systems (1991, methodology): “This suggestion was first implemented in BLAH (Weiner, 1980) which uses a TMS to determine the set of currently believed assertions Attached to each assertion is a justification for it, consisting of a list of assertions justifying belief in the assertion When BLAH generates an explanation, it uses…”
Generating tailored definitions using a multifaceted user model (1992, background): “Several researchers (Weiner, 1980; Appelt, 1985; Chin, 1989; Paris, 1988) have concentrated on modeling the user's domain knowledge or expertise with the aim of giving the user information appropriate to his level of expertise or simply avoiding giving redundant information.”
Explaining and justifying recommendations in an agriculture decision support system (1994, background): “Kass et al. (1988) cite the following reasons why explanations increase a user's acceptance: they justify that recommendations are logical (Weiner,1980); they persuade the user that unexpected recommendations are valid (Weiner,1980); they help the user recognize the system's limitations (Neches,…”
Explaining and justifying the advice of a decision support system: a natural language generation approach (2003, background): “Weiner (1980) addresses the problem of structuring explanations so that they are not too complex and therefore easier to understand.”
A Survey on the Explainability of Supervised Machine Learning (2020, background): “Such explanations are too detailed or not well structured which makes it difficult for the user to understand them (Weiner, 1980).”
Strategic Explanations for a Diagnostic Consultation System (1983, background): “For example, BLAH (Weiner, 1980) structures explanations so that they do not appear too complex, taking such things as embedded explanations and focus of attention into account.”
Explainable Artificial Intelligence: a Systematic Review (2020, background): “Blah [113], an example of these tools, was primarily concerned with structuring explanations so that they do not appear too complex.”