The role of causality in judgment under uncertainty.

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Generalization in anti-causal learning (2018, background): “It has been conjectured that humans internally build powerful causal models for simulations and approximate physical mechanisms through intuitive theories (Krynski and Tenenbaum, 2007; Waldmann et al., 2006; Hamrick et al., 2011; Battaglia et al., 2013; Gerstenberg and Tenenbaum, 2017).”
Intuitive Theories (2020, background): “…like Bayesian approaches have had a remarkably successful revival as accounts of judgment and decision making (see, e.g. Hagmayer & Sloman, 2009; Krynski & Tenenbaum, 2007; Sloman & Hagmayer, 2006), they have been rediscovered as powerful accounts for explaining attribution (Hagmayer & Osman,…”