Abduction, experience, and goals: a model of everyday abductive explanation

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Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “planation (e.g. [59]). In addition to the cognitive biases of people to discount probability, the probabilistic approaches have the problem that such ne-grained probabilities are not always available [95]. These selection mechanisms are context-independent and do not account for the explanations as ”
Goals Affect the Perceived Quality of Explanations (2015, background): “Given that different kinds of inferences are differentially useful in the context of different goals, one might expect judgments about the quality of explanations (in a given context) to be similarly sensitive to goals (see also Leake, 1995, for a relevant discussion).”
Explanation in Case-Based Reasoning–Perspectives and Goals (2005, background): “This is further complicated by the fact that both the sender and recipient of an explanation have goals in the exchange, and their goals influence what candidate explanations are and are not acceptable (Leake, 1995b).”