Normality and actual causal strength
Existing research suggests that people’s judgments of actual causation can be influenced by the degree to which they regard certain events as normal. We develop an explanation for this phenomenon that draws on standard tools from the literature on graphical causal models and, in particular, on the i...
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Veröffentlicht in: | Cognition 2017-04, Vol.161, p.80-93 |
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creator | Icard, Thomas F. Kominsky, Jonathan F. Knobe, Joshua |
description | Existing research suggests that people’s judgments of actual causation can be influenced by the degree to which they regard certain events as normal. We develop an explanation for this phenomenon that draws on standard tools from the literature on graphical causal models and, in particular, on the idea of probabilistic sampling. Using these tools, we propose a new measure of actual causal strength. This measure accurately captures three effects of normality on causal judgment that have been observed in existing studies. More importantly, the measure predicts a new effect (“abnormal deflation”). Two studies show that people’s judgments do, in fact, show this new effect. Taken together, the patterns of people’s causal judgments thereby provide support for the proposed explanation. |
doi_str_mv | 10.1016/j.cognition.2017.01.010 |
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Taken together, the patterns of people’s causal judgments thereby provide support for the proposed explanation.</description><subject>Actual causation</subject><subject>Bayes nets</subject><subject>Bayes Theorem</subject><subject>Causal models</subject><subject>Causal reasoning</subject><subject>Causality</subject><subject>Cognition & reasoning</subject><subject>Counterfactuals</subject><subject>Deflation</subject><subject>Humans</subject><subject>Imagination</subject><subject>Judgment</subject><subject>Models, Psychological</subject><subject>Normality</subject><subject>Sampling</subject><issn>0010-0277</issn><issn>1873-7838</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkMtKAzEUhoMotlZfQQu6cDP1nExmkllK8QZFN7oOmSRTU-ZSkxmhb29KaxduhAM_HL5z4SPkCmGGgPndaqa7Zet617UzCshngLHgiIxR8DThIhXHZAyxlQDlfETOQlgBAKNcnJIRFZjxTLAxuXntfKNq12-mqjVTpftB1VOthhAj9N62y_7znJxUqg72Yp8T8vH48D5_ThZvTy_z-0WiGRN9ojlVVYnaADdgLOXMprYoIVepqLKiQlXmxjBUmosS0wqRQ5VZwTTmyhRpOiG3u71r330NNvSycUHbulat7YYgUeRZxlKa5xG9_oOuusG38TtJgWIhMoY0UnxHad-F4G0l1941ym8kgtyKlCt5ECm3IiVgLIiTl_v9Q9lYc5j7NReB-x1go5BvZ70M2tlWW-O81b00nfv3yA9x14cl</recordid><startdate>201704</startdate><enddate>201704</enddate><creator>Icard, Thomas F.</creator><creator>Kominsky, Jonathan F.</creator><creator>Knobe, Joshua</creator><general>Elsevier B.V</general><general>Elsevier Science Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope><scope>7X8</scope></search><sort><creationdate>201704</creationdate><title>Normality and actual causal strength</title><author>Icard, Thomas F. ; Kominsky, Jonathan F. ; Knobe, Joshua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-c72afb1cd07d0de274e3e9b06a38f59f1ab6dd41ac78b13f1170f5e84c16ad933</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Actual causation</topic><topic>Bayes nets</topic><topic>Bayes Theorem</topic><topic>Causal models</topic><topic>Causal reasoning</topic><topic>Causality</topic><topic>Cognition & reasoning</topic><topic>Counterfactuals</topic><topic>Deflation</topic><topic>Humans</topic><topic>Imagination</topic><topic>Judgment</topic><topic>Models, Psychological</topic><topic>Normality</topic><topic>Sampling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Icard, Thomas F.</creatorcontrib><creatorcontrib>Kominsky, Jonathan F.</creatorcontrib><creatorcontrib>Knobe, Joshua</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>MEDLINE - Academic</collection><jtitle>Cognition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Icard, Thomas F.</au><au>Kominsky, Jonathan F.</au><au>Knobe, Joshua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Normality and actual causal strength</atitle><jtitle>Cognition</jtitle><addtitle>Cognition</addtitle><date>2017-04</date><risdate>2017</risdate><volume>161</volume><spage>80</spage><epage>93</epage><pages>80-93</pages><issn>0010-0277</issn><eissn>1873-7838</eissn><abstract>Existing research suggests that people’s judgments of actual causation can be influenced by the degree to which they regard certain events as normal. 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subjects | Actual causation Bayes nets Bayes Theorem Causal models Causal reasoning Causality Cognition & reasoning Counterfactuals Deflation Humans Imagination Judgment Models, Psychological Normality Sampling |
title | Normality and actual causal strength |
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