Beethoven's Ninth and AI's Tenth: A comparison of human and computational creativity

Anthony K. Brandt
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引用次数: 0

Abstract

Composer Ludwig van Beethoven died in 1827, leaving behind several dozen sketches for his Tenth Symphony. In 2021, a team of computer scientists and musicians trained an artificial neural network to create a realization of the third and fourth movements. Comparing Beethoven's Ninth Symphony to the algorithmic Tenth reveals differences between human and computational creativity. In its speed and fecundity, the AI model captures some of the features of spontaneous human creativity. However, it is less equipped for deliberate creativity, which requires non-linear thinking, context-driven decision-making, elaborating unusual choices, and the capacity to revise. Implications for cognitive science, artificial intelligence, and education are discussed.

贝多芬的第九交响曲和人工智能的第十交响曲:人类和计算机创造力的比较
作曲家路德维希·凡·贝多芬于1827年去世,留下了他的第十交响曲的几十个草图。2021年,一个由计算机科学家和音乐家组成的团队训练了一个人工神经网络,以实现第三和第四乐章。将贝多芬的第九交响曲与算法的第十交响曲进行比较,揭示了人类创造力和计算创造力之间的差异。在速度和繁殖力方面,人工智能模型捕捉到了人类自发创造力的一些特征。然而,它不具备深思熟虑的创造力,这需要非线性思维、情境驱动的决策、精心设计不寻常的选择以及修改的能力。讨论了对认知科学、人工智能和教育的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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