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Halpern, Joseph Y.; Hitchcock, Christopher – Cognitive Science, 2013
Judea Pearl (2000) was the first to propose a definition of actual causation using causal models. A number of authors have suggested that an adequate account of actual causation must appeal not only to causal structure but also to considerations of "normality." In Halpern and Hitchcock (2011), we offer a definition of actual causation…
Descriptors: Causal Models, Cognitive Science, Definitions, Correlation
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Lagnado, David A.; Gerstenberg, Tobias; Zultan, Ro'i – Cognitive Science, 2013
How do people attribute responsibility in situations where the contributions of multiple agents combine to produce a joint outcome? The prevalence of over-determination in such cases makes this a difficult problem for counterfactual theories of causal responsibility. In this article, we explore a general framework for assigning responsibility in…
Descriptors: Attribution Theory, Causal Models, Responsibility, Cognitive Psychology
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Chater, Nick; Oaksford, Mike – Cognitive Science, 2013
Judea Pearl has argued that counterfactuals and causality are central to intelligence, whether natural or artificial, and has helped create a rich mathematical and computational framework for formally analyzing causality. Here, we draw out connections between these notions and various current issues in cognitive science, including the nature of…
Descriptors: Causal Models, Intelligence, Cognitive Processes, Cognitive Science
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Bes, Benedicte; Sloman, Steven; Lucas, Christopher G.; Raufaste, Eric – Cognitive Science, 2012
The study tests the hypothesis that conditional probability judgments can be influenced by causal links between the target event and the evidence even when the statistical relations among variables are held constant. Three experiments varied the causal structure relating three variables and found that (a) the target event was perceived as more…
Descriptors: Statistical Inference, Probability, Correlation, Causal Models