Flood management is particularly important for many urban territories. In order to assess the
interest of different risk mitigation strategies, it is necessary to consider the human behavior …

External control of agent-based models is vital for complex adaptive systems research. Often
these experiments require vast numbers of simulation runs and are computationally …

Calibration of agent‐based models (ABMs) is a major challenge due to the complex nature
of the systems being modeled, the heterogeneous nature of geographical regions, the …

(1) Background: The stochastic nature of agent-based models (ABMs) may be responsible
for the variability of simulated outputs. Multiple simulation runs (ie, replicates) need to be …

The ongoing COVID-19 pandemic has put the world into an unprecedented situation
causing massive impacts on people's daily life and businesses. While there exist numerous …

The aim of this paper is to explore agent-based evacuation models in Python by conducting
a systematic literature search using the PRISMA methodology. The principles of evacuation …

공간 시뮬레이션 모델은 개인 수준에서의 행동규칙, 속성, 상호작용 등을 중심으로 하여 다양한
지리적 현상 (도시의 발전, 질병의 확산 등) 에 대해서 이해, 해석, 예측 등을 위한 목적으로 널리 …

Agent-based models have been increasingly applied to the study of space-time dynamics in
real-world systems driven by biophysical and social processes. For the sharing and …

While High-Performance Computing (HPC) resources are powerful for tackling complex,
computationally intensive analysis and modeling problems, access to these resources …

Space has long been acknowledged by researchers as a fundamental constraint which
shapes our world. As technological changes have transformed the very concept of distance …