Research And Implementation Of Codecision Simulation System

The phenomenon of crowd intelligence can be observed in our daily lives,involving politics,economy and humanities and many other fields.With the development of the network era,the scale of the phenomenon of crowd intelligence is constantly expanding,and the connection between individuals is becoming closer,gradually presenting the networked crowd intelligence economic and social form under every connected environments.Since crowd network is a main mode of modern service industry and future economy society,the research on crowd network can greatly facilitate governance of economy society and make it more efficient,humanity,sustainable and at the same time avoid turbulence.However,crowd science cannot follow a traditional way to research for most achievements cannot be observed in the real world.The most efficient way to promote such kind of research is simulation.Crowd science takes the crowd network as the research object,and studies the basic principles and laws of the activities of deeply interconnected individuals under the impetus of intelligence.By research and establishment of effective methods and tools to analyze and explore more possibilities,to achieve problems that humans or computers cannot solve alone.Supported by National Key Research and Development Program of China(Grant No.2017YFB1400105),this paper studies codecision simulations,which tries to reveal the quantitative relationship between voting mechanisms and results on crowd networks to give a guidance for social public managements under every connected environments.And the main research includes simulation frameworks and related key technologies.In the end,a pilot system is introduced to demonstrate the feasibility of the proposed methods.When it comes to architecture,this paper proposes a HLA-based crowd science simulation framework,which can be divided into system-level and application-level simulations corresponding to logical and physical aspects to improve flexibility.At the same time,it can realize crowd simulations in a dynamic,diversity and large-scale way.In order to describe behaviors of digital-selves more accurately and constantly,this paper introduces a pattern based two-level feedback member model,in which decider,executor,decompositor and integrator reflects the decision-making process.In simulation executions,affector,comparator and monitor reflect the constraints,interference and inspiration of digital-selves.To express standpoints,this paper proposes field preferences,which is represented by a vector based on polar coordinates to predict voting behavior by comparison and calculation between candidate policy programs and voter standpoints.In this way,the expression and calculation of standpoints are more concise,clear and in line with real cases.Finally,a multi-decision simulation system is implemented with the hierarchical structure,and the implementation process of the voting mechanism is analyzed.