Agent-based modeling 2.0
Data-driven selection of model structure
T. Jensen (TU Delft - Energy and Industry)
E.J.L. Chappin (TU Delft - Energy and Industry)
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Abstract
Agent-based modeling is useful to simulate the human role in socio-technical systems. Thereby, the complexity of such systems can be captured. For instance, it has shown to be useful at simulating innovation in socio-technical systems. We develop a next step in which laborious model building is automated. We present a working example on innovation diffusion leading to consumers changing their heating behavior.