Computer Science

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).

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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
[1] EPSTEIN J M,AXTELL R L.Growing Artificial Societies:Social Science from the Bottom Up[M].The Brookings Institution,1996.
[2] TATAPUDI H,DAS R,DAS T K.Impact assessment of fulland partial stay-at-home orders,face mask usage,and contact tracing:An agent-based simulation study of COVID-19 for an urban region[J].Global Epidemiology,2020,2:100036.
[3] MONTAGUD A,PONCE-DE-LEON M,VALENCIA A.Systems biology at the giga-scale:Large multiscale models of complex,heterogeneous multicellular systems[J].Current Opinion in Systems Biology,2021,28:100385.
[4] FAZIO M,PLUCHINO A,INTURRI G,et al.Agent-BasedModelling of Mobility Restrictions at a Large Scale:Exploring the Impact on the COVID-19 Spreading in Italy[J].Journal of Transport & Health,2021,22:101195.
[5] SIERHUIS M.Brahms:A multi-agent modeling and simulation language for work system analysis and design [D].Amsterda:University of Amsterdam,2001.
[6] COLLIER N,NORTH M.Parallel agent-based simulation with Repast for High Performance Computing[J].Simulation,2012,89(10):1215-1235.
[7] CORDASCO G,SCARANO V,SPAGNUOLO C.DistributedMASON:A scalable distributed multi-agent simulation environment[J].Simulation Modelling Practice and Theory,2018,89:15-34.
[8] MINSON R,THEODOROPOULOS G K.Distributing RePastagent-based simulations with HLA[J].Concurrency Computation Practice and Experience,2008,20(10):1225-1256.
[9] MOSSONG J,HENS N,JIT M,et al.Social contacts and mixing patterns relevant to the spread of infectious diseases[J].PLoS Medicine,2008,5(3):381-391.
[10] ZHANG M X,MENG R Q,VERBRAECK A.Including public transportation into a large-scale agent-based model for epidemic prediction and control[C]//Proceedings of the Conference on Summer Computer Simulation.2015:1-8.
[11] MILI R Z,STEINER R,OLADIMEJI E.DIVAs:illustrating an abstract architecture for agent-environment simulation systems[J].Multiagent and Grid Systems-An International Journal,2006,2:505-525.
[12] OKUYAMA F Y,BORDINI R H,COSTA A C R.A distributed normative infrastructure for situated multi-agent organisations[M]//Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).Heidelberg:Springer,2009:29-46.
[13] WANG X,COLLINS A.Popularity or proclivity?Revisitingagent heterogeneity in network formation[C]//Proceedings of the 2014 Winter Simulation Conference.IEEE,2014.
[14] AMIGUET M,MULLER J P,BAEZ-BARRANCO J A,et al.The MOCA platform - Simulating the dynamics of social networks[C]//Proceedings of the 3rd International Conference on Multi-Agent-Based Simulation II.Springer-Verlag,2002.
[15] ALLEN L J S.Some discrete-time SI,SIR,and SIS epidemicmodels[J].Mathematical Biosciences,1994,124(1):83-105.
[16] GE Y,MENG R,CAO Z,et al.Virtual city:An individual-based digital environment for human mobility and interactive behavior[J].Simulation,2014,90(8):917-935.
[17] TA N,CHAI Y,GUAN M.Suburbanization,daily lifestyle and space-behavior interaction in Beijing
(In Chinese)[J].Acta Geographica Sinica,2015,70(8):1271-1280.
[18] STROUD P,VALLE S D.Spatial dynamics of pandemic influenza in a massive artificial society[J].Journal of Artificial Societies and Social Simulation,2007,10(4):1-18.
[19] JACOBS P H M,LANG N A,VERBRAECK A.D-SOL:A Distributed JAVA based Discrete Event Simulation Architecture[C]//Proceedings of the 2002 Winter Simulation Conference.IEEE,2002.
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