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人工智能如何帮助我们理解人类创造力。

How Artificial Intelligence Can Help Us Understand Human Creativity.

作者信息

Gobet Fernand, Sala Giovanni

机构信息

Department of Psychological Sciences, University of Liverpool, Liverpool, United Kingdom.

Graduate School of Human Sciences, Osaka University, Suita, Japan.

出版信息

Front Psychol. 2019 Jun 19;10:1401. doi: 10.3389/fpsyg.2019.01401. eCollection 2019.

Abstract

Recent years have been marked by important developments in artificial intelligence (AI). These developments have highlighted serious limitations in human rationality and shown that computers can be highly creative. There are also important positive outcomes for psychologists studying creativity. It is now possible to design entirely new classes of experiments that are more promising than the simple tasks typically used for studying creativity in psychology. In addition, given the current and future AI algorithms for developing new data structures and programs, novel theories of creativity are on the horizon. Thus, AI opens up entire new avenues for studying human creativity in psychology.

摘要

近年来,人工智能(AI)取得了重要进展。这些进展凸显了人类理性的严重局限性,并表明计算机可以具有高度的创造性。对于研究创造力的心理学家来说,也有重要的积极成果。现在有可能设计出全新的实验类别,这些实验比心理学中通常用于研究创造力的简单任务更具前景。此外,鉴于当前和未来用于开发新数据结构和程序的人工智能算法,关于创造力的新理论即将出现。因此,人工智能为心理学中研究人类创造力开辟了全新的途径。

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本文引用的文献

1
The effects of expected reward on creative problem solving.
Cogn Affect Behav Neurosci. 2018 Oct;18(5):925-931. doi: 10.3758/s13415-018-0613-5.
2
Does Far Transfer Exist? Negative Evidence From Chess, Music, and Working Memory Training.
Curr Dir Psychol Sci. 2017 Dec;26(6):515-520. doi: 10.1177/0963721417712760. Epub 2017 Oct 25.
3
Mastering the game of Go without human knowledge.
Nature. 2017 Oct 18;550(7676):354-359. doi: 10.1038/nature24270.
5
Mastering the game of Go with deep neural networks and tree search.
Nature. 2016 Jan 28;529(7587):484-9. doi: 10.1038/nature16961.
6
Deep learning.
Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539.
7
Designing a "better" brain: insights from experts and savants.
Front Psychol. 2014 May 22;5:470. doi: 10.3389/fpsyg.2014.00470. eCollection 2014.
8
Creativity.
Annu Rev Psychol. 2010;61:569-98. doi: 10.1146/annurev.psych.093008.100416.
9
Studying scientific discovery by computer simulation.
Science. 1983 Dec 2;222(4627):971-5. doi: 10.1126/science.222.4627.971.
10
Inflexibility of experts--reality or myth? Quantifying the Einstellung effect in chess masters.
Cogn Psychol. 2008 Mar;56(2):73-102. doi: 10.1016/j.cogpsych.2007.02.001. Epub 2007 Apr 5.

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