Discovering hidden causes using statistical evidence

Christopher G. Lucas, Kenneth Holstein, Charles Kemp

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

People frequently reason about causal relationships and variables that cannot be directly observed. This paper presents results from an experiment in which participants used statistical information to make judgments about the number and base rates of hidden causes, as well as the forms of causal relationships in which those causes participated. Our data allow us to evaluate several models of hidden cause discovery, and reveal that people have different expectations about the forms of causal relationships than recent theories predict.
Original languageEnglish
Title of host publicationProceedings of the 36th Annual Conference of the Cognitive Science Society
Pages892-897
Number of pages6
Publication statusPublished - 2014

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