People accurately predict the transition probabilities between actions

Science advances - Tập 7 Số 9 - 2021
Mark Thornton1, Diana Thornton Tamir2
1Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH 03755, USA.
2Department of Psychology and Princeton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA

Tóm tắt

People accurately predict sequences of everyday actions, supported in part by conceptual knowledge tailored for such predictions.

Từ khóa


Tài liệu tham khảo

10.1111/spc3.12312

10.1098/rstb.2015.0373

10.1006/jtbi.2003.3125

10.1037/0096-1523.24.3.830

10.1371/journal.pone.0169700

10.1162/jocn_a_01480

10.3389/fpsyg.2014.00636

10.1037/xhp0000745

10.1162/jocn_a_00232

10.1523/JNEUROSCI.2129-05.2005

10.1146/annurev.neuro.27.070203.144230

10.1006/nimg.2001.0832

10.1016/j.brainresrev.2008.12.024

10.1038/s41598-019-42204-y

10.1016/j.cognition.2015.09.021

10.1002/hbm.22319

N. H. Frijda Feelings and Emotions: The Amsterdam Symposium (Cambridge Univ. Press 2004) pp. 158–173.

10.1146/annurev-psych-122414-033417

10.1073/pnas.1607601113

10.1016/S1364-6613(00)01537-0

10.1037/0096-1523.28.3.499

10.1126/science.274.5294.1926

10.1037/0096-3445.134.4.552

10.1073/pnas.1616056114

10.3389/fnhum.2014.00273

10.1111/1467-8624.00310

10.1080/15248370709336996

10.1016/j.jecp.2016.12.004

10.1371/journal.pone.0177261

D. Birdsong Second Language Acquisition and the Critical Period Hypothesis (Routledge 1999).

10.1038/nrn1787

10.1016/j.tics.2017.12.005

M. A. Thornton, D. I. Tamir, Six dimensions describe action understanding: The ACT-FASTaxonomy. PsyArXiv , (2019).

10.1093/scan/nsaa126

U.S. Bureau of Labor Statistics American Time Use Survey (U.S. Bureau of Labor Statistics 2003); https://www.bls.gov/tus/.

10.1073/pnas.1511905112

10.1016/j.cortex.2019.12.012

10.1145/219717.219748

10.3758/BRM.41.4.977

M. Sudhof A. Goméz Emilsson A. L. Maas C. Potts Sentiment expression conditioned by affective transitions and social forces in Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM 2014) pp. 1136–1145.

R Core Team R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing 2015).

10.3758/s13428-016-0727-z