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Title: Disaggregation and Refinement of System Dynamics Models via Agent-based Modeling

System dynamics models are usually used to investigate aggregate level behavior, but these models can be decomposed into agents that have more realistic individual behaviors. Here we develop a simple model of the STEM workforce to illuminate the impacts that arise from the disaggregation and refinement of system dynamics models via agent-based modeling. Particularly, alteration of Poisson assumptions, adding heterogeneity to decision-making processes of agents, and discrete-time formulation are investigated and their impacts are illustrated. The goal is to demonstrate both the promise and danger of agent-based modeling in the context of a relatively simple model and to delineate the importance of modeling decisions that are often overlooked.
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  1. ORNL
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Resource Relation:
Conference: Summer Simulation Multi-conference, Monterey, CA, USA, 20140706, 20140710
Research Org:
Oak Ridge National Laboratory (ORNL)
Sponsoring Org:
ORNL LDRD Director's R&D
Country of Publication:
United States