Decision Making Using Learned Causal Structures

Abstract

Decision making and causal reasoning are clearly relevant for one another, but have often been studied in relative isolation. In this paper, we report the results of two experiments that investigated whether people can make appropriate decisions using causal beliefs learned from sequences of cases. We found that people behave close-to-optimally for various causal and payoff structures, even though they are relatively poor at providing verbal reports of causal strength.

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Cite this paper

@inproceedings{Nichols2007DecisionMU, title={Decision Making Using Learned Causal Structures}, author={William C. Nichols and David Danks}, year={2007} }