作者：Serhad Sarica Jianxi Luo
通过设计重用、重组和合成现有概念来创造新的技术概念，可能会导致概念空间随着时间的推移呈指数级增长。然而，我们对一个由专利文本中的400多万个概念组成的大型技术语义网络的统计分析发现，有证据表明，概念创造的速度持续放缓，新创造的概念的独创性下降。这些趋势可能归因于人类智能在超越现有技术不断扩大的空间进行创新方面的局限性。为了维持创新，我们建议开发和实施创造性人工智能，以增强创新过程的各个方面，包括学习、创造和评估。
The creation of new technological concepts through design reuses, recombination, and synthesis of prior concepts to create new ones may lead to exponential growth of the concept space over time. However, our statistical analysis of a large-scale technology semantic network consisting of over four million concepts from patent texts found evidence of a persistent deceleration in the pace of concept creation and a decline in the originality of newly created concepts. These trends may be attributed to the limitations of human intelligence in innovating beyond an expanding space of prior art. To sustain innovation, we recommend the development and implementation of creative artificial intelligence that can augment various aspects of the innovation process, including learning, creation, and evaluation.
论文链接：http://arxiv.org/pdf/2303.13300v1
更多计算机论文：http://cspaper.cn/