Choosing optimal causal backgrounds for causal discovery
| dc.contributor.author | Barberia, I. | |
| dc.contributor.author | Baetu, I. | |
| dc.contributor.author | Sansa, J. | |
| dc.contributor.author | Baker, A. | |
| dc.date.issued | 2010 | |
| dc.description.abstract | In two experiments, we studied the strategies that people use to discover causal relationships. According to inferential approaches to causal discovery, if people attempt to discover the power of a cause, then they should naturally select the most informative and unambiguous context. For generative causes this would be a context with a low base rate of effects generated by other causes and for preventive causes a context with a high base rate. In the following experiments, we used probabilistic and/or deterministic target causes and contexts. In each experiment, participants observed several contexts in which the effect occurred with different probabilities. After this training, the participants were presented with different target causes whose causal status was unknown. In order to discover the influence of each cause, participants were allowed, on each trial, to choose the context in which the cause would be tested. As expected by inferential theories, the participants preferred to test generative causes in low base rate contexts and preventative causes in high base rate contexts. The participants, however, persisted in choosing the less informative contexts on a substantial minority of trials long after they had discovered the power of the cause. We discuss the matching law from operant conditioning as an alternative explanation of the findings. | |
| dc.description.statementofresponsibility | Itxaso Barberia, Irinia Baetu, Joan Sansa and Andy G. Baker | |
| dc.identifier.citation | Quarterly Journal of Experimental Psychology, 2010; 63(12):2413-2431 | |
| dc.identifier.doi | 10.1080/17470211003770904 | |
| dc.identifier.issn | 1747-0218 | |
| dc.identifier.issn | 1747-0226 | |
| dc.identifier.orcid | Baetu, I. [0000-0002-5565-7136] | |
| dc.identifier.uri | http://hdl.handle.net/2440/75106 | |
| dc.language.iso | en | |
| dc.publisher | Psychology Press | |
| dc.rights | © 2010 The Experimental Psychology Society | |
| dc.source.uri | https://doi.org/10.1080/17470211003770904 | |
| dc.subject | Causal learning | |
| dc.subject | intervention | |
| dc.subject | power | |
| dc.subject | associative theories | |
| dc.subject | inferential models | |
| dc.title | Choosing optimal causal backgrounds for causal discovery | |
| dc.type | Journal article | |
| pubs.publication-status | Published |