Decisions to intervene on causal systems are adaptively selected

Coenen, Anna, Rehder, B., & Gureckis, T. M. (2014). Decisions to intervene on causal systems are adaptively selected. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society. Cognitive Science Society.

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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

Bibtex entry:

@inproceedings{coenen2014marrprize,
	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.},
	address = {Austin, TX},
	author = {Coenen, Anna and Rehder, Bob and Gureckis, T.M.},
	awards = {David Marr Prize for Best Student Paper at CogSci2014},
	booktitle = {Proceedings of the 36th Annual Conference of the Cognitive Science Society},
	editor = {Bello, P. and Guarini, M. and McShane, M. and Scassellati, B.},
	publisher = {Cognitive Science Society},
	title = {Decisions to intervene on causal systems are adaptively selected},
	year = {2014}}

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