Research And Design Of Enterprise Agent Intelligence Based On Norm

In the fierce market competition,enterprises are constantly evolving under their own active choices in order to adapt to the environment.Traditional methods analyze enterprise's evolution by establishing enterprise's models,but the research on enterprise structure and operation mechanism is subjective and rigid.The enterprise model based on Agent can solve this problem.By establishing a multi-Agent enterprise model,the complex enterprise system is decomposed into multiple Agent entities-formed a multi-Agent system(MAS),jointly multi Agent completed the overall goal of the system.The model can describe the whole problem of enterprise operation,and it is difficult to further grasp the characteristics of the enterprise.By researching the intelligence of the enterprise agent,this paper uses the genetic algorithm(GA)and the learning classifier system(LCS)to design a kind of parallel,rule-based,automatic,automatic and intelligent enterprise Agent.Under the influence of the environment,the subjective initiative of enterprise Agent is under way.In order to make the evolution more consistent with the laws of nature and objectivity,introduced the concept of standard in the semiotics,used the complex semantics of the specification,and the objective control and constraint of the enterprise Agent is designed by the specification,and the intelligent interaction mechanism between Agent is designed so that the enterprise Agent can make a dynamic choice of behavior.Finally,the Swarm simulation platform is used to verify the intelligence of the designed Agent through comparative experiments.The intelligent design of enterprise Agent based on specification rules on the application of Agent to knowledge and knowledge discovery mechanism,which provides support for the dynamic behavior selection of enterprise Agent,and provides a solution for solving the complex problems of similar enterprise evolution.This paper is based on the specification,using genetic algorithm and LCS to design the Agent intelligence of enterprises Agent.The main research contents are as follows:(1)Analyze the characteristics of the enterprise evolution,establish a multi Agent enterprise model,and design the overall model of the enterprise,the enterprise Agent,the interaction mechanism and the performance evaluation index of the model.(2)Research and design the intelligence of the enterprise Agent.The GA and LCS are used to evolve the enterprise's main behavior,such as coding,fitness calculation,genetic selection and so on.The enterprise Agent intelligence and intelligent interaction mechanism based on the specification are designed.(3)Design the simulation platform and the simulation comparison experiment using Swarm prove that the enterprise Agent intelligent mechanism designed in this paper can make the enterprise more dynamic in the evolution.