Knowledge-Based Causal Attribution : The Abnormal Conditions Focus Model

By Denis J. Hilton. 2004

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Citations in the corpus

A survey of algorithmic recourse: definitions, formulations, solutions, and prospects (2020, background): “Counterfactual reasoning has roots not only in the philosophy of science [81, 82, 108–110, 184], but also in the psychology There are, however, a number of implicit assumptions made in existing setups, e.g., that the world dynamics are known and do not change, the predictive (supervised) model is…”
Connecting Scientific Reasoning and Causal Inference (2004, background): ““Abnormal conditions” (ones absent in a comparison condition), for example, are the basis of the model of causal inference proposed by Hilton and Slugoski (1986).”
Believing one's own press: the causes and consequences of CEO celebrity (2004, background): “More recent research suggests that, to varying degrees, observers lack the cognitive attention and information-processing capacity needed to apply consistency and distinctiveness criteria thoroughly and instead may be applying these criteria selectively ( Hilton and Slugoski, 1986; Turnbull and Slu”
Intuitive Theories (2020, background): “While it is true that ball B wouldn't have gone through the gate if the top wall hadn't been there, we are less inclined to say that the wall caused the ball to go through the gate (Cheng & Novick, 1992; Hilton & Slugoski, 1986).”
EMPLOYEE ATTRIBUTIONS OF THE “WHY” OF HR PRACTICES: THEIR EFFECTS ON EMPLOYEE ATTITUDES AND BEHAVIORS, AND CUSTOMER SATISFACTION (2008, background): “Nevertheless, because people are thought to rely on domainspecific knowledge structures to define likely causes for particular events (Hilton & Slugoski, 1986), we recognize the possibility that there may be causal explanations, or HR attributions, that are relevant in other organizations and…”
A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence (2021, methodology): “In addition, Lucic et al. [56] explicitly specify that their method is based on previous work on philosophical accounts of contrastive explanation [12] as well as on causal attribution [165], [166].”
Reasoning About Multiple Variables: Control of Variables Is Not the Only Challenge (2007, unknown): “Science Education DOI 10.1002/sce studies of multivariable causal inference (Cheng, 1997, Downing, Sternberg, & Ross, 1985; Glymour, 2001; Hilton & Slugoski, 1986; Schustack & Sternberg, 1981; Sloman & Lagnado, 2005; Spellman, 1996; Steyvers, Tenenbaum, Wagenmakers, & Blum, 2003; Waldmann &…”
Deviance Regulation: A Theory of Action and Identity (2003, background): “When a deviant choice is observed, this tells the perceiver that something surprising just occurred, requiring an explanation (Hilton & Slugoski, 1986).”
Explanation and Abductive Inference (2012, background): “…about events or properties that violate their expectations (Isaacs, 1930; Sully, 1900; see alsoBerlyne, 1954; Chouinard, 2007) or concern abnormal events Isaacs, 1990; Hilton & Slugoski, 1986; see alsoBerlyne, (p. 266) Page 11 of 32 PRINTED FROM OXFORD HANDBOOKS ONLINE (www.oxfordhandbooks.com).”