Explaining reasoning: an overview of explanation in knowledge-based systems

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Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, methodology): “…and Benbasat, 2003; Polson and Richardson, 1988; Psotka, Massey, and Mutter, 1988; Ritter and Feurzeig, 1988; Silverman, 1992; Sleeman and Brown, 1982; Southwick, 1991; Swartout, Paris, and Moore, 1991; Tanner and Keuneke, 1991; Tintarev, 2007; Woolf, 2007; Woolf, Beck, Eliot, and Stern, 2001)”
Explanation and Argumentation Capabilities:Towards the Creation of More Persuasive Agents (2002, background): “The separation of domain model and procedural knowledge makes explicit the strategic, structural and support knowledge in the domain (Southwick 1991).”
Introduction to the Special Issue on Explanation in Case-Based Reasoning (2005, background): “The importance of intelligent systems having the ability to explain their reasoning is well recognized (e.g., Buchanan and Shortliffe 1984; Southwick 1991; Swartout et al., 1991; Leake 1996; Herlocker et al., 2000; McSherry 2001).”
Explanatory Power of Intelligent Systems : A Research Framework (2004, unknown): “One solution to this lack of justification are model-based explanations that justify system actions and results by linking them to a deep causal model of the domain (Southwick, 1991).”