@inproceedings{bf86750bc05d4fbf8709852acdab91fc,
title = "Decisions to intervene on causal systems are adaptively selected",
abstract = "How do people choose interventions to learn about a causal system? Here, we tested two possibilities: an optimal information sampling strategy which aims to discriminate between multiple hypotheses, and a second strategy that aims to confirm individual hypotheses. We show in Experiment 1 that individual behavior is best fit using a mixture of these two options. In a second experiment, we find that people are able to adaptively alter the strategies they use in response to their expected payoff in a particular task environment.",
keywords = "causal learning, information sampling, interventions",
author = "Anna Coenen and Bob Rehder and Todd Gureckis",
note = "Publisher Copyright: {\textcopyright} 2014 Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014. All rights reserved.; 36th Annual Meeting of the Cognitive Science Society, CogSci 2014 ; Conference date: 23-07-2014 Through 26-07-2014",
year = "2014",
language = "English (US)",
series = "Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014",
publisher = "The Cognitive Science Society",
pages = "343--348",
booktitle = "Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014",
}