A recent overview of the integration of System Dynamics and Agent-based Modelling and Simulation

Modelling and simulation aim to reproduce the structure and imitate the behavior of real-life systems. For complex dynamic systems, System Dynamics (SD) and Agent-based (AB) modelling are two widely used modelling paradigms that prior to the early 2010’s have traditionally been viewed as mutually exclusive alternatives. This literature review...

Agent-based Modeling Automated: Data-driven Generation of Innovation Diffusion Models

Simulation modeling is useful to gain insights into driving mechanisms of diffusion of innovations. This study aims to introduce automation to make identification of such mechanisms with agent-based simulation modeling less costly in time and labor. We present a novel automation procedure in which the generation of diffusion models is automated....

Agent-based modeling 2.0: Data-driven selection of model structure

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...

The effectiveness of a strategic reserve in the presence of a high portfolio share of renewable energy sources

To ensure sufficient investment in electricity generation capacity, mechanisms such as strategic reserves are being considered or already implemented. We analyze the effectiveness of a strategic reserve in the presence of a growing portfolio share of renewable energy sources (RES) with EMLab-Generation, an agent-based electricity market model...

Modeling safety culture as a socially emergent phenomenon: A case study in aircraft maintenance

Safety culture is often understood as encompassing organizational members’ shared attitudes, beliefs, perceptions and values associated with safety. Safety culture theory development is fraught with inconsistencies and superficiality of measurement methods, because the dynamic and political nature of culture is often ignored. Traditionally,...

The emergence of climate change mitigation action by society: An agent-based scenario discovery study

Developing model-based narratives of society’s response to climate change is challenged by two factors. First, society’s response to possible future climate change is subject to many uncertainties. Second, we argue that society’s mitigation action emerge out of the actions and interactions of the many actors in society. Together, these two...