Combining Microsimulation and Agent-Based Modeling
2016
This paper proposes a hybrid model structure combining microsimulation and agent-based modeling to simulate population dynamics. Microsimulation describes the population dynamics at the individual level, and actions conducted by the individuals are generated by stochastic processes. An emerging method is the agent-based model, which focuses on the interactions among individuals and expects to see unexpected situations created from the interactions.
In the proposed hybrid model, the microsimulation model takes a role to depict how an individual chooses its behavior based on a stochastic process parameterized by real data; the agent-based model incorporates interactions among individuals considering their own states and rules. The case study introduces a Korean population dynamics model developed by the proposed approach, and its simulation results show the population changes triggered by a variance of behavior and interaction factors.
Combining Microsimulation and Agent-Based Modeling
Source:
Bae JW, Paik E, Kim K et al. Combining Microsimulation and Agent-Based Model for Micro-Level Population Dynamics. Procedia Computer Science 2016; 80: 507-517. https://doi.org/10.1016/j.procs.2016.05.331