Causality in the mind: Estimating contextual and conjunctive causal power
By Patricia W. Cheng. 2000
29 citations recorded by the source corpus.
Subfields: Artificial Intelligence, History and Philosophy of Science, Philosophy
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Shane T. Mueller
- Gary Klein
- Robert R. Hoffman
- William J. Clancey
- Abigail Emrey
- Patricia W. Cheng
- York Hagmayer
- Michael R. Waldmann
In History and Philosophy of Science
- Patricia W. Cheng
- Gary Klein
- Robert R. Hoffman
- William J. Clancey
- York Hagmayer
- Michael R. Waldmann
- A. Blaisdell
- Abigail Emrey
In Philosophy
- Patricia W. Cheng
- Gary Klein
- Robert R. Hoffman
- William J. Clancey
- York Hagmayer
- Michael R. Waldmann
- A. Blaisdell
- Abigail Emrey
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): “…research on causal reasoning relevant to explanation includes: Ahn (1998); Ahn et al. (1995); 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,…”
- Causal learning in rats and humans: A minimal rational model (2008, background): “Coherence with prior knowledge is a further potent cue to causal directionality (see also Lien & Cheng, 2000).”