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  1. Cognitive shortcuts in causal inference.Philip M. Fernbach & Bob Rehder - 2013 - Argument and Computation 4 (1):64 - 88.
    (2013). Cognitive shortcuts in causal inference. Argument & Computation: Vol. 4, Formal Models of Reasoning in Cognitive Psychology, pp. 64-88. doi: 10.1080/19462166.2012.682655.
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  • How Do We Believe?Steven A. Sloman - 2022 - Topics in Cognitive Science 14 (1):31-44.
    Topics in Cognitive Science, Volume 14, Issue 1, Page 31-44, January 2022.
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  • The Oxford Handbook of Causal Reasoning.Michael Waldmann (ed.) - 2017 - Oxford, England: Oxford University Press.
    Causal reasoning is one of our most central cognitive competencies, enabling us to adapt to our world. Causal knowledge allows us to predict future events, or diagnose the causes of observed facts. We plan actions and solve problems using knowledge about cause-effect relations. Without our ability to discover and empirically test causal theories, we would not have made progress in various empirical sciences. In the past decades, the important role of causal knowledge has been discovered in many areas of cognitive (...)
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  • A review of possible effects of cognitive biases on interpretation of rule-based machine learning models. [REVIEW]Tomáš Kliegr, Štěpán Bahník & Johannes Fürnkranz - 2021 - Artificial Intelligence 295 (C):103458.
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  • James is polite and punctual (and useless): A Bayesian formalisation of faint praise.Adam J. L. Harris, Adam Corner & Ulrike Hahn - 2013 - Thinking and Reasoning 19 (3-4):414-429.
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