Dialogical Models of Explanation

By Douglas Walton. 2007

48 citations recorded by the source corpus.

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Citations in the corpus

Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “However, the models of Hilton [72], Antaki and Leudar [3], and Walton [183] are all independent of language.”
Explaining Explanations in AI (2018, neutral): “Walton (2004, 2007) takes a similar approach in proposing a dialectical theory of everyday explanations, which suggests that giving explanations involves not only transfer of information or causal claims, but also argumentative support for these claims.”
A Grounded Interaction Protocol for Explainable Artificial Intelligence (2019, background): “These rules are governed by the explainee, which corresponds to the understanding of an explanation [31].”
Formalizing Explanatory Dialogues (2015, methodology): “Consistency, plausibility and sense-making are among the important conditions for an explanatory dialogue as mentioned in [20].”
Explainability fact sheets: a framework for systematic assessment of explainable approaches (2019, background): “Given the language skills of the recipient, the system can use sentences of varying grammatical and vocabulary complexity to facilitate their easier comprehension [54].”
A dialogue system specification for explanation (2011, methodology): “A more abstract prototype dialogue theory of explanation CE has been built in Walton (2007a).”
Toward establishing trust in adaptive agents (2008, background): “Several theoretical frameworks for modeling these dialogues have been suggested; Walton [26] compares several of these models and suggests one such model that is particularly useful for modeling explanation dialogues of the type that would address the themes we identified here.”