复杂系统智能演进技术综述OA

As a large-scale system that continuously integrates and couples a large number of local autonomous systems,the basic idea of intelligent evolution of complex systems is to use intelligent technology to achieve continuous em-powerment of the system.The complex system driven by artificial intelligence and supported by big data has achieved multiple rounds of technological iteration and scene updates.This article focuses on complex artificial intelligence sys-tems.Firstly,it analyzes the basic theories of intelligent evolution,refine the concept of intelligent evolution,and pro-pose an evolution technology integration framework centered around the perception layer,computing layer,and optimiz-ation layer of complex systems.and summarizes the four key evolution technologies of big data decision-making,edge intelligence,multi-agent collaboration,and adaptive evolution,summarize the crucial supporting role of the above tech-nologies within complex systems and the development and evolution path of these technologies.It also looks forward to the future direction of complex system evolution driven by artificial intelligence.This article can provide theoretical support for the development path of the next generation of artificial intelligence complex systems.