Computer Science ›› 2022, Vol. 49 ›› Issue (4): 16-24.doi: 10.11896/jsjkx.210900136

• Special Issue of Social Computing Based Interdisciplinary Integration • Previous Articles     Next Articles

Conceptual Model for Large-scale Social Simulation

ZHANG Ming-xin   

  1. College of Politics, National Defense University, Shanghai 200433, China
  • Received:2021-09-16 Revised:2022-01-18 Published:2022-04-01
  • Supported by:
    This work was supported by the National Social Science Foundation(17CGL047).

Abstract: Large-scale agent-based social simulation is gradually proved to be an effective method for the study of human society.It can contribute to decision-making in social science, distributed artificial intelligence and agent technology in computer science, theory and modeling practice of computer simulation system, etc.However, the existing research practice has difficulties in balancing model complexity and simulation performance.In view of the existing problems, this paper proposes a conceptual model framework of large-scale social simulation based on agent and big data driving, and provides the reference implementation of mo-del components.Taking the epidemic prediction and control in a large-scale artificial city as an example, it illustrates how to use the proposed conceptual framework to model the large-scale social system with complex human behavior and social interaction.It also points out the potential applications in other social science fields, such as micro transportation system and urban evacuation planning.

Key words: Agent, Conceptual model, Large scale, Social interaction, Social simulation

CLC Number: 

  • TP391
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