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

IF 19.3 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Maxi Becker, Roberto Cabeza
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引用次数: 0

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.

预测误差最小化是好奇心和创造力的共同计算原则。
我们建议通过强调一个基本的计算原理,来扩展作者们对创造力和好奇心的共同新奇追求基础:最小化预测误差(预测与输入数据之间的不匹配)。好奇心与通过未来的新信息最大限度地减少预测误差的预期联系在一起,而创造性的 "AHA时刻 "则与通过当前的新信息最大限度地减少预测误差的实际情况联系在一起。
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来源期刊
ACS Energy Letters
ACS Energy Letters Energy-Renewable Energy, Sustainability and the Environment
CiteScore
31.20
自引率
5.00%
发文量
469
审稿时长
1 months
期刊介绍: ACS Energy Letters is a monthly journal that publishes papers reporting new scientific advances in energy research. The journal focuses on topics that are of interest to scientists working in the fundamental and applied sciences. Rapid publication is a central criterion for acceptance, and the journal is known for its quick publication times, with an average of 4-6 weeks from submission to web publication in As Soon As Publishable format. ACS Energy Letters is ranked as the number one journal in the Web of Science Electrochemistry category. It also ranks within the top 10 journals for Physical Chemistry, Energy & Fuels, and Nanoscience & Nanotechnology. The journal offers several types of articles, including Letters, Energy Express, Perspectives, Reviews, Editorials, Viewpoints and Energy Focus. Additionally, authors have the option to submit videos that summarize or support the information presented in a Perspective or Review article, which can be highlighted on the journal's website. ACS Energy Letters is abstracted and indexed in Chemical Abstracts Service/SciFinder, EBSCO-summon, PubMed, Web of Science, Scopus and Portico.
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