Steady-State Evolution and Knowledge Generation Capability Analysis of Digital Intelligence Knowledge Ecosystem:Based on Dissipative Structure Theory
[Purpose/significance]Digital intelligence empowerment provides a new knowledge generation logic for re-gional knowledge innovation,which not only accelerates the knowledge flow within the system,but also improves the de-gree of knowledge coupling between regions.Exploring the new evolutionary logic and knowledge generation capability of the knowledge ecosystem empowered by digital intelligence can improve the level of regional knowledge innovation and knowledge generation capacity in China.[Method/process]According to the dissipative structure theory,the Brus-selator model was translated and applied to the digital intelligence knowledge ecosystem,and the evolution process of the digital intelligence knowledge ecosystem was analyzed.Then,the regional knowledge input-knowledge generation ability index under the empowerment of digital intelligence is proposed,and the empirical analysis of the data is used to draw corresponding conclusions.[Result/conclusion]It is found that the knowledge ecosystem has new dissipative steady-state characteristics under the empowerment of digital intelligence.At the same time,driven by digital intelli-gence technology,the composition,evolution and knowledge generation ability of the knowledge ecosystem have under-gone significant changes.
digital intelligent knowledge ecosystemphylogenetic evolutionknowledge generationdissipative structure theory
万方数据
