Prediction error minimization as a common computational principle for curiosity and creativity

被引:0
|
作者
Becker, Maxi [1 ]
Cabeza, Roberto [1 ,2 ]
机构
[1] Humboldt Univ, Dept Psychol, Berlin, Germany
[2] Duke Univ, Ctr Cognit Neurosci, LSRC Bldg, Durham, NC USA
基金
瑞典研究理事会; 以色列科学基金会; 加拿大自然科学与工程研究理事会; 美国国家科学基金会; 瑞士国家科学基金会; 欧洲研究理事会;
关键词
D O I
10.1017/S0140525X23003540
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
We propose expanding the authors' shared novelty-seeking basis for creativity and curiosity by emphasizing an underlying computational principle: Minimizing prediction errors (mismatch between predictions and incoming data). Curiosity is tied to the anticipation of minimizing prediction errors through future, novel information, whereas creative AHA moments are connected to the actual minimization of prediction errors through current, novel information.
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页数:76
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