The simulation heuristic

By Daniel Kahneman, Amos Tversky. 1982

Subfields: Cognitive Science & Psychology

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In Cognitive Science & Psychology

Citations in the corpus

Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models (2021, methodology): “Further, as a general-purpose generator, g should produce counterfactuals with a measure of (3) control over relationships x ) x̂, such that the counterfactuals can vary with the object-of-attention in each application (the “focus rule” (Kahneman and Tversky, 1981)).”
Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences (2017, background): “For example, people tend to undo more proximal causes over more distal causes [Miller and Gunasegaram, 1990], abnormal events over normal events [Kahneman and Tversky, 1982], and events that are considered more ‘controllable’ [Girotto et al. , 1991].”
Explanation in Artificial Intelligence: Insights from the Social Sciences (2017, background): “In particular, Kahneman and Tversky note that people did not simply undo the event with the lowest prior probability in the scenario.”
Exploring lay uncertainty about an environmental health risk (2007, background): “In a seminal article in the early 1980s (Kahneman and Tversky, 1982a), they explored a variety of dimensions of uncertainty and suggested two loci of attribution: external and internal.”
The affective costs of overconfidence (2004, background): “Expectations serve as reference points that arise from personal goals or desires (Kunda, 1990), counterfactual possibilities (Kahneman & Tversky, 1982; Roese & Olson, 1995), or the outcomes of relevant peers (Tesser, 1988).”
The heuristic-analytic theory of reasoning: Extension and evaluation (2006, methodology): “As Kahneman and Tversky (1982b) also pointed out, the use of mental simulations is prone to cognitive biases.”
Machine Learning Interpretability: A Survey on Methods and Metrics (2019, background): “• Focus on the abnormal—People focus more on abnormal causes to explain events [111].”
Imagining predictions: mental imagery as mental emulation (2009, background): “1994); decision-making (e.g. Kahneman & Tversky 1982); mechanical reasoning (e.g. Hegarty 2004); consciousness (e.g. Hesslow 2002); creativity (Clement 2008); social cognition (e.g. Gordon 1986); affective regulation (e.g. Gilbert & Wilson 2007); and mental imagery (e.g. Kosslyn 2008).”
Story understanding and counterfactual reasoning. (2003, methodology): “Simulation 1 is of the data from the Kahneman and Tversky (1982) study.”