Agent-based modeling 2.0

Data-driven selection of model structure

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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.

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