{"pk":25757,"title":"Elemental Causal Learning from Transitions","subtitle":null,"abstract":"Much research on elemental causal learning has focused on\nhow causal strength is learned from the states of variables. In\nlongitudinal contexts, the way a cause and effect change over\ntime can be informative of the underlying causal relationship.\nWe propose a framework for inferring the causal strength\nfrom different observed transitions, and compare the\npredictions to existing models of causal induction. Subjects\nobserve a cause and effect over time, updating their\njudgments of causal strength after observing different\ntransitions. The results show that some transitions have an\neffect on causal strength judgments over and above states.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"causal learning; causal reasoning; time"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/1wx2047x","frozenauthors":[{"first_name":"Kevin","middle_name":"W","last_name":"Soo","name_suffix":"","institution":"University of Pittsburgh","department":""},{"first_name":"Benjamin","middle_name":"M","last_name":"Rottman","name_suffix":"","institution":"University of Pittsburgh","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2015-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/25757/galley/15381/download/"}]}