Prior preferences beneficially influence social and non-social learning

被引:19
|
作者
Tarantola, Tor [1 ]
Kumaran, Dharshan [2 ]
Dayan, Peter [3 ]
De Martino, Benedetto [2 ]
机构
[1] Univ Cambridge, Dept Psychol, Downing St, Cambridge CB2 3EB, England
[2] UCL, Inst Cognit Neurosci, 17 Queen Sq, London WC1N 3AR, England
[3] UCL, Gatsby Computat Neurosci Unit, 25 Howland St, London W1T 4JG, England
基金
英国惠康基金;
关键词
EGOCENTRIC BIAS; MODEL; INFORMATION; NEUROBIOLOGY; ATTRIBUTES; PERCEPTION; PARAMETERS; CHOICE;
D O I
10.1038/s41467-017-00826-8
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Our personal preferences affect a broad array of social behaviors. This includes the way we learn the preferences of others, an ability that often relies on limited or ambiguous information. Here we report an egocentric influence on this type of social learning that is reflected in both performance and response times. Using computational models that combine inter-trial learning and intra-trial choice, we find transient effects of participants' preferences on the learning process, through the influence of priors, and persistent effects on the choice process. A second experiment shows that these effects generalize to non-social learning, though participants in the social learning experiment appeared to additionally benefit by using their knowledge about the popularity of certain preferences. We further find that the domain-general egocentric influences we identify can yield performance advantages in uncertain environments.
引用
收藏
页数:14
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