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.
翻译:通过对之前的概念进行设计重用、重组和合成,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增长。然而,我们对由超过四百万个来自专利文本的概念构成的大规模技术语义网络进行的统计分析发现,存在一个持续的概念创建速度减缓和新创建概念原始性下降的趋势。这些趋势可以归因于人类智力的局限性,在创新超越一个不断扩大的先前技术的空间方面存在障碍。为了支持创新,我们建议开发和实施创造性人工智能,可以增强创新过程的各个方面,包括学习、创造和评估。