Ambitious climate mitigation policies face social and political resistance. One reason is that
existing policies insufficiently capture the diversity of relevant insights from the social …

Agent-based models (ABMs) are one of the most effective and successful methods for
analyzing real-world complex systems by investigating how modeling interactions on the …

The complexity of occupant behavior is one of the major contributors to uncertainty in
building performance simulation. Agent-based modeling (ABM), a computational simulation …

Climate policy is urgently needed to reduce emissions, but must also be evaluated in regard
to its impact on human quality of life. To identify policy approaches that are able to achieve …

Computer simulations offer a robust toolset for exploring complex systems across various
disciplines. A particularly impactful approach within this realm is Agent-Based Modeling …

Mesa is an open-source agent-based modeling (ABM) framework implemented in the
Python programming language, allowing users to build and visualize agent-based models. It …

The social and ecological challenges of our time require a better understanding of the
complex interactions between the multiple dimensions of human well-being and …

Agent-based modeling is widely used for modeling and simulation of self-organizing
sociotechnical systems that are composed of distributed autonomous agents. In these …

In the field of simulation, the key objective of a system designer is to develop a model that
performs a specific task and accurately represents real-world systems or processes. A valid …

Landscape fire regimes are created through socio-ecological processes, yet in current
global models the representation of anthropogenic impacts on fire regimes is restricted to …