Study Of Social Integrity Behavioral Mode And Modeling Methodology Based On Multi-Agent System

Society can not do without integrity, integrity has a very important impact on our ethics and behavior. However, in the early of years, the media disclosed to the public poisonous oil, poisonous capsule and Vitamin C silver fins toxic events are challenges of social and moral bottom line. People lack the most basic sense of security in the aspect of basic necessities. Under this serious circumstance, paying attention to the problem and finding a solution has become an important issue we are faced with contemporarily.Social integrity contains personal, business, and government credit, mutual contact and mutual influence between them constitute a complex system. They have the initiative adaptability, self-organization, nonlinear characteristics and evolution and so on, so it is difficult and not proper to research it only by using traditional mathematical method. This article from the perspective of Multi-Agent Systems analyzes social credit system. Analogy individuals in society as the Agent, from micro to macro, and build a social credit system behavior patterns. From the stimulus-response model theory we provide a new perspective to the study of social credit system, and the design of a framework to draw some conclusions through self-organizing, adaptive, self-evolution and its information exchange with the external environment. Finally, we analyze and verify the lack of credibility evolution through the establishment of the Swarm simulation platform. The content of this study are as follows:(1) This article describes the connotation of social integrity, including the traditional culture of integrity and the modern concept of integrity; thus analyzes the composition of the social credit system.(2) From the perspective of multi-Agent to study problems of social integrity, we analyze the characteristics of the social credit system:layer, multi-Agent adaptive, dynamic and openness, nonlinear, emergent and self-organizing.(3) It establishes a social credit system research framework, and it builds a basic, overall and evolutionary behavioral mode based on the stimulus-response principle, adaptive-learning theory and evolution of Agent. The responses of low-level Agents to environment constitute the basic behavioral mode; under the influence of environment, Agents change the behavioral rules constantly, and the ongoing process of adaptive learning constitutes the overall behavioral mode; it will finally develop into an emergence model of high level.(4) Build an artificial society model and a simulation platform based on multi-Agent, and through analysis and verification, the overall level of integrity has been greatly enhanced through severe punishment for breach behavior, but it requires a long process.This article’s main innovation points:①From a new perspective multi-Agent system it analyze social credit system, it describe the process of micro to macro, and describe the social individual by using the Agent properties to embodies the concept of complex system.②It analyzes the dynamic process of interaction between individuals, businesses and government, and the emerging form the social good faith system as a whole. From the stimulus-response analyze the principle of the main body of social credit system, as a whole and level-behavior pattern, construct the basic research framework.③Build artificial social model, the use of Swarm simulation platform, and it can describe the process of micro emerge as macro.Finally, a summary is given to point out the insufficiency and improvement of our future research. Hope this thesis provides a new perspective and a certain reference significaance to the study of social credit system.