dc.contributor.author | Smith, Kevin A | |
dc.contributor.author | Battaglia, Peter W | |
dc.contributor.author | Vul, Edward | |
dc.date.accessioned | 2021-09-20T17:17:17Z | |
dc.date.available | 2021-09-20T17:17:17Z | |
dc.date.issued | 2018-07-09 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/131487 | |
dc.description.abstract | Abstract
Does human behavior exploit deep and accurate knowledge about how the world works, or does it rely on shallow and often inaccurate heuristics? This fundamental question is rooted in a classic dichotomy in psychology: human intuitions about even simple scenarios can be poor, yet their behaviors can exceed the capabilities of even the most advanced machines. One domain where such a dichotomy has classically been demonstrated is intuitive physics. Here we demonstrate that this dichotomy is rooted in how physical knowledge is measured: extrapolation of ballistic motion is idiosyncratic and erroneous when people draw the trajectories but consistent with accurate physical inferences under uncertainty when people use the same trajectories to catch a ball or release it to hit a target. Our results suggest that the contrast between rich and calibrated versus poor and inaccurate patterns of physical reasoning exists as a result of using different systems of knowledge across tasks, rather than being driven solely by a universal system of knowledge that is inconsistent across physical principles. | en_US |
dc.publisher | Springer International Publishing | en_US |
dc.relation.isversionof | https://doi.org/10.1007/s42113-018-0007-3 | en_US |
dc.rights | Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. | en_US |
dc.source | Springer International Publishing | en_US |
dc.title | Different Physical Intuitions Exist Between Tasks, Not Domains | en_US |
dc.type | Article | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences | |
dc.eprint.version | Author's final manuscript | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2020-09-24T21:19:48Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | Springer International Publishing | |
dspace.embargo.terms | Y | |
dspace.date.submission | 2020-09-24T21:19:48Z | |
mit.license | PUBLISHER_POLICY | |
mit.metadata.status | Authority Work and Publication Information Needed | |