Causal inference and the hierarchical structure of experience.
نویسندگان
چکیده
منابع مشابه
Causal inference and the hierarchical structure of experience.
Children and adults make rich causal inferences about the physical and social world, even in novel situations where they cannot rely on prior knowledge of causal mechanisms. We propose that this capacity is supported in part by constraints provided by event structure--the cognitive organization of experience into discrete events that are hierarchically organized. These event-structured causal i...
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Acknowledgements I would like to give special thanks to my advisor, Professor Kevin Hoover who took my shortcomings and successes with equal stride, and who struggled through the process alongside me. But how will you look for something when you don't in the least know what it is? How on earth are you going to set up something you don't know as the object of your search? To put it another way, ...
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Causal directed acyclic graphical models (DAGs) are powerful reasoning tools in the study and estimation of cause and effect in scientific and socio-behavioral phenomena. In many domains where the cause and effect structure is unknown, a key challenge in studying causality with DAGs is learning the structure of causal graphs directly from observational data. Traditional approaches to causal str...
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ژورنال
عنوان ژورنال: Journal of Experimental Psychology: General
سال: 2014
ISSN: 1939-2222,0096-3445
DOI: 10.1037/a0038192