Challenges, tasks, and opportunities in modeling agent-based complex systems
Humanity is facing many grand challenges at unprecedented rates, nearly everywhere, and
at all levels. Yet virtually all these challenges can be traced back to the decision and …
at all levels. Yet virtually all these challenges can be traced back to the decision and …
Future developments in geographical agent‐based models: Challenges and opportunities
Despite reaching a point of acceptance as a research tool across the geographical and
social sciences, there remain significant methodological challenges for agent‐based …
social sciences, there remain significant methodological challenges for agent‐based …
Multi-agent systems and digital twins for smarter cities
T Clemen, N Ahmady-Moghaddam… - Proceedings of the …, 2021 - dl.acm.org
An intelligent combination of the Internet of Things (IoT) and approaches to modeling and
simulation is one of the most challenging endeavors for future cities, manufacturing …
simulation is one of the most challenging endeavors for future cities, manufacturing …
Improving model predictions—integration of real-time sensor data into a running simulation of an agent-based model
UA Lenfers, N Ahmady-Moghaddam, D Glake, F Ocker… - Sustainability, 2021 - mdpi.com
The current trend towards living in big cities contributes to an increased demand for efficient
and sustainable space and resource allocation in urban environments. This leads to …
and sustainable space and resource allocation in urban environments. This leads to …
Real-time agent-based crowd simulation with the Reversible Jump Unscented Kalman Filter
Commonly-used data assimilation methods are being adapted for use with agent-based
models with the aim of allowing optimisation in response to new data in real-time. However …
models with the aim of allowing optimisation in response to new data in real-time. However …
Crowd flow forecasting via agent-based simulations with sequential latent parameter estimation from aggregate observation
F Makinoshima, Y Oishi - Scientific reports, 2022 - nature.com
Unlike conventional crowd simulations for what-if analysis, agent-based crowd simulations
for real-time applications are an emerging research topic and an important tool for better …
for real-time applications are an emerging research topic and an important tool for better …
An architecture for intelligent agent-based digital twin for cyber-physical systems
H Marah, M Challenger - Digital twin driven intelligent systems and …, 2023 - Springer
Recent years have witnessed the emergence of the fourth industrial revolution (Industry 4.0)
era. This direction is propelled by digitization endeavors in various sectors and domains …
era. This direction is propelled by digitization endeavors in various sectors and domains …
Towards real-time predictions using emulators of agent-based models
ABSTRACT The use of Agent-Based Models (ABMs) to make predictions in real-time is
hindered by their high computation cost and the lack of detailed individual data. This paper …
hindered by their high computation cost and the lack of detailed individual data. This paper …
[HTML][HTML] Data assimilation and agent-based modelling: towards the incorporation of categorical agent parameters
This paper explores the use of a particle filter—a data assimilation method—to incorporate
real-time data into an agent-based model. We apply the method to a simulation of real …
real-time data into an agent-based model. We apply the method to a simulation of real …
Coupling an agent-based model and an ensemble Kalman filter for real-time crowd modelling
Agent-based modelling has emerged as a powerful tool for modelling systems that are
driven by discrete, heterogeneous individuals and has proven particularly popular in the …
driven by discrete, heterogeneous individuals and has proven particularly popular in the …