思想引擎:将创新和过时性从市场和遗传进化统一到科学
Edward D Lee1, Christopher P Kempes2, Geoffrey B West2
1Complexity Science Hub, Vienna 1080, Austria.
概括
创新和过时驱动系统动力学. 一个模型预测了三个制度,包括崩,并揭示了波动多样性的关键边界. 这些发现与公司生产力,生物进化和科学进步一致.
科学领域:
- 系统动力学 系统动力学
- 进化论的发展理论
- 创新研究 研究 创新研究
背景情况:
- 创新和过时是适应系统的关键动态.
- 现有的模型往往缺乏这些概念的统一框架.
- 特定领域的公式掩盖了更广泛的系统行为.
研究的目的:
- 为了使创新和过时之间的联系正式化.
- 开发一个"可能空间"动态的缩小模型.
- 在不同领域统一创新和过时.
主要方法:
- 正式化了"可能空间"动态的缩小模型.
- 对系统的合剂动态 (生长,死亡,复制).
- 预测系统制度和关键边界.
主要成果:
- 三个预测的制度:有限的空间,不断增长的空间,或舒彼得式的崩.
- 确定一个关键边界,在多样性上出现剧烈波动.
- 在创新前沿附近的代理人密度的分类学.
结论:
- 该模型与企业生产力,COVID多样性和引用率的经验数据保持一致.
- 建议在公司效率和演变中遵循领导者的动态.
- 科学进步是由共识形成和旧观念的过时化驱动的.
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