Suppr超能文献

预测误差最小化为好奇心和创造力的共同计算原理。

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

机构信息

Department of Psychology, Humboldt University Berlin, Berlin, Germany

Center for Cognitive Neuroscience, Duke University LSRC Bldg, Durham, NC, USA

出版信息

Behav Brain Sci. 2024 May 21;47:e93. doi: 10.1017/S0140525X23003540.

Abstract

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.

摘要

我们通过强调一个潜在的计算原则来扩展作者们对创造力和好奇心的共同新颖性追求基础

最小化预测误差(预测与传入数据之间的不匹配)。好奇心与通过未来新信息来预测最小化预测误差相关联,而创造性的顿悟时刻则与通过当前新信息实际最小化预测误差相关联。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验