Causal superseding.

By Jonathan F. Kominsky, Jonathan Phillips, Tobias Gerstenberg, David A. Lagnado, Joshua Knobe. 2015

132 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, General Decision Sciences, Safety Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Ruth M. J. Byrne
2. Hannes Rakoczy
3. Jana Samland
4. Michael R. Waldmann
5. Emre Kıcıman
6. Marina Josephs
7. Shane Timmons
8. David R. Mandel

In General Decision Sciences

1. Ruth M. J. Byrne
2. Chenhao Tan
3. David R. Mandel

In Safety Research

1. Ruth M. J. Byrne
2. Emre Kıcıman
3. Chenhao Tan
4. David R. Mandel
5. Gesina Schwalbe
6. Bettina Finzel

Citations in the corpus

• Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning (2019, background): “Events often have several causes, some of which preempt or supersede others [Kominsky et al., 2015].”
• Causal Reasoning and Large Language Models: Opening a New Frontier for Causality (2023, background): “Finally, human causal judgments also depend on whether the outcome is undesirable (e.g., causing a forest fire vs. causing a reforestation initiative) (Kominsky et al., 2015).”
• The role of prescriptive norms and knowledge in children's and adults' causal selection. (2016, result): “Evidence for the role of counterfactual reasoning in causal selection comes from a number of recent studies with adults (e.g., Kominsky et al., 2015; Phillips et al., 2015).”