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  1. An improved probabilistic account of counterfactual reasoning.Christopher G. Lucas & Charles Kemp - 2015 - Psychological Review 122 (4):700-734.
    When people want to identify the causes of an event, assign credit or blame, or learn from their mistakes, they often reflect on how things could have gone differently. In this kind of reasoning, one considers a counterfactual world in which some events are different from their real-world counterparts and considers what else would have changed. Researchers have recently proposed several probabilistic models that aim to capture how people do (or should) reason about counterfactuals. We present a new model and (...)
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  • Reasoning Studies. From Single Norms to Individual Differences.Niels Skovgaard-Olsen - 2022 - Dissertation, University of Freiburg
    Habilitation thesis in psychology. The book consists of a collection of reasoning studies. The experimental investigations will take us from people’s reasoning about probabilities, entailments, pragmatic factors, argumentation, and causality to morality. An overarching theme of the book is norm pluralism and individual differences in rationality research.
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  • Conditionals and the Hierarchy of Causal Queries.Niels Skovgaard-Olsen, Simon Stephan & Michael R. Waldmann - 2021 - Journal of Experimental Psychology: General 1 (12):2472-2505.
    Recent studies indicate that indicative conditionals like "If people wear masks, the spread of Covid-19 will be diminished" require a probabilistic dependency between their antecedents and consequents to be acceptable (Skovgaard-Olsen et al., 2016). But it is easy to make the slip from this claim to the thesis that indicative conditionals are acceptable only if this probabilistic dependency results from a causal relation between antecedent and consequent. According to Pearl (2009), understanding a causal relation involves multiple, hierarchically organized conceptual dimensions: (...)
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  • Postscript: Abandonment of Causal Power.Christian C. Luhmann & Woo-Kyoung Ahn - 2005 - Psychological Review 112 (3):692-693.
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  • The meaning and computation of causal power: Comment on Cheng (1997) and Novick and Cheng (2004).Christian C. Luhmann & Woo-Kyoung Ahn - 2005 - Psychological Review 112 (3):685-692.
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  • The role of mechanism and covariation information in causal belief updating.José C. Perales, Andrés Catena, Antonio Maldonado & Antonio Cándido - 2007 - Cognition 105 (3):704-714.
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  • Constraints and nonconstraints in causal learning: Reply to White (2005) and to Luhmann and Ahn (2005).Patricia W. Cheng & Laura R. Novick - 2005 - Psychological Review 112 (3):694-706.
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  • Postscript.Patricia W. Cheng & Laura R. Novick - 2005 - Psychological Review 112 (3):706-707.
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