Abstract
PMRFSim is a proof of concept geospatial social agent-based simulation capable of examining the interactions of more than 60,000 agents over a simulated year within a few minutes. PMRFSim utilizes real world data from federal, state, and local authorities to create the heterogeneous agent environment. All agents are endowed with demographic and geospatial attributes. Agents interact with each other and respond to events. PMRFSim also models adverse agents which have harmful intent and goals to spread negative sentiment and acquire intelligence. PMRFSim allows an analyst to construct various what-if scenarios and generates numerous graphs that characterize the social landscape. This analysis is intended to support public affairs officers in exploring the social landscape under various initial conditions and scenarios.
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Acknowledgements
This work was supported by US office of the Naval Research (ONR Contract N00014-07-C-0544). The authors would like to thank Dr. Sun-Ki Chai of the Hawaii Social Science Research Group for conducting sentiment analysis and identifying the topics of interest for the population under study. The authors would also like to thank Brian Chock from BAE Systems, Hawaii for his valuable feedback. Last, the authors would also like to thank Dr. John Sciortino for allowing us to use NRL’s Java agent-based modeling packaged dubbed SWARM. The views and conclusions in this paper are those of the authors and should not be interpreted as representing official policies of the Office of Naval Research.
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Zanbaka, C., HandUber, J., Saunders-Newton, D. (2019). An Application of Agent Based Social Modeling in the DoD. In: Carmichael, T., Collins, A., Hadžikadić, M. (eds) Complex Adaptive Systems. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-20309-2_3
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