基于演化博弈和随机突变理论的产学研协同创新稳定性研究

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关键词：产学研；协同创新；产业链；创新链；新能源汽车产业；随机突变；随机演化博弈 中图分类号：F273.1；F224.32;G649.2 文献标识码：A doi：10.3969/j.issn.1672-2272.202509015

Stability Research on Industry-University-Research Collaborative Innovation Based on Evolutionary Game and Stochastic Mutation Theory

Wu Xinwei， Chen Siqi （School of Information Management，Xinjiang University of Finance and Economics，Urumqi 83ool2，China）

Abstract：To enhance industrial chain resilience and independent innovation capability，this study develops an Industry-University-Research collaborative innovation model using evolutionary game theory， incorporating a stochastic mutation perspective to examine system stability mechanisms. Replication dynamics equations model the strategic evolution of participants，transformed into a cusp catastrophe model to establish a stochastic dynamic system with Gaussian white noise. Resilience metrics quantitatively assess system stability and disturbance resistance under external disruptions. Numerical simulations reveal how key parameters influence the system’s nonlinear evolution and stability. Results show： ① Self-organized phase transitions occur when variable combinations cross bifurcation points， triggering structural shifts in innovation strategies; ② Beyond specific thresholds，parameter effects on mutations are quantifiable through resilience measures; ③ Strengthened penalties and reduced speculative incentives prevent strategic deviation from technological innovation. This study offers novel perspectives for analyzing collaborative innovation and quantitative approaches for studying system mutations.

Keywords：industry-university-research；collaborative innovation； industrial chain； innovation chain;new energy vehicle （nev） industry; stochastic mutation; stochastic evolutionary game

0 引言与文献综述

在当前构建新发展格局的过程中，产业链与创新链的协同布局已成为推动经济高质量发展的重要方向。（剩余15294字）