Explaining Explanation, Part 3: The Causal Landscape
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This is the third in a series of essays about explanation. After laying out the core theoretical concepts in the first article, including aspects of causation and abduction, the second article presented some empirical research to reveal the great variety of purposes and types of causal reasoning, as well as a number of different causal explanation patterns. Taking the notion of reasoning patterns a step further, the author describes a method whereby a decision maker can go from a causal explanation to a viable course of action for making positive change in the future, not to mention aiding decision making in general.
[1] Gary Klein,et al. Explaining Explanation, Part 2: Empirical Foundations , 2017, IEEE Intelligent Systems.
[2] Scott Snook,et al. Friendly Fire: The Accidental Shootdown of U.S. Black Hawks over Northern Iraq , 2002 .
[3] Tim Miller,et al. Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences , 2017, ArXiv.