The problem of causal selection
By Germund Hesslow. 1988
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Shane T. Mueller
- Robert R. Hoffman
- Luke S. Zettlemoyer
- Hannaneh Hajishirzi
- Yoav Goldberg
- Sarah Wiegreffe
- Mohit Bansal
- Tim Miller
Citations in the corpus
- Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “…Ahn and Kalish (2000); Chater and Oaksford, (2006); Cheng (1997, 2000); Einhorn and Hogarth (1986); Eiter and Lukasiewicz (2002, 2006); Feltovich, Hoffman, Woods, and Roesler (2004); Graesser, Baggett, and Williams (1996); Halpern and Pearl (2005a,b); Heckerman and Shachter (1994); Hesslow (1988).”
- Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “Mackie [110] is one of the earliest to argue for explanation selection based on contrastive criteria, however, the first crisp definition of contrastive explanation seems to come from Hesslow [69]:”
- Explaining Explanations in AI (2018, neutral): “Further, to be informative, explanations should not be entirely reducible to presuppositions, or beliefs that the recipient of the explanation already holds (Hesslow, 1988).”
- Prompting Contrastive Explanations for Commonsense Reasoning Tasks (2021, background): “It explains why some fact P occurred instead of some foil Q, where Q can be implicit (Hesslow, 1988; Lipton, 1990; Miller, 2019).”
- How People Explain Action (and Autonomous Intelligent Systems Should Too) (2017, background): “In the psychological literature, this is sometimes called the “causal selection problem”—the difficulty of selecting a small number of causes/reasons that sufficiently explain the event in question (Hesslow 1988; Hilton 2007).”
- Aligning Faithful Interpretations with their Social Attribution (2020, background): “where Q is ¬P , is too great, and thus Q is selected as a subset of all possible foils (Hilton and Slugoski, 1986; Hesslow, 1988), and often not explicitly, but implicitly derived from context.”
- Conversational processes and causal explanation. (1990, background): “The problem is thus one of identifying a causal connection between two events (cf. Hesslow, 1988).”