A population data-driven workflow for COVID-19 modeling and learning
J Ozik, JM Wozniak, N Collier… - … Journal of High …, 2021 - journals.sagepub.com
CityCOVID is a detailed agent-based model that represents the behaviors and social
interactions of 2.7 million residents of Chicago as they move between and colocate in 1.2 …
interactions of 2.7 million residents of Chicago as they move between and colocate in 1.2 …
Parallelisation strategies for agent based simulation of immune systems
Background In recent years, the study of immune response behaviour using bottom up
approach, Agent Based Modeling (ABM), has attracted considerable efforts. The ABM …
approach, Agent Based Modeling (ABM), has attracted considerable efforts. The ABM …
Experiences in developing a distributed agent-based modeling toolkit with Python
Distributed agent-based modeling (ABM) on high-performance computing resources
provides the promise of capturing unprecedented details of large-scale complex systems …
provides the promise of capturing unprecedented details of large-scale complex systems …
[HTML][HTML] Reliable and Efficient Agent-Based Modeling and Simulation
A Antelmi, P Caramante, G Cordasco… - Journal of Artificial …, 2024 - jasss.org
Agent-based models represent a primary methodology to untangle and study complex
systems. Over the last decade, the need for more elaborate computing-demanding models …
systems. Over the last decade, the need for more elaborate computing-demanding models …
High-performance agent-based modeling applied to vocal fold inflammation and repair
N Seekhao, C Shung, J JaJa, L Mongeau… - Frontiers in …, 2018 - frontiersin.org
Fast and accurate computational biology models offer the prospect of accelerating the
development of personalized medicine. A tool capable of estimating treatment success can …
development of personalized medicine. A tool capable of estimating treatment success can …
On evaluating rust as a programming language for the future of massive agent-based simulations
The analysis of real systems and the development of predictive models to describe the
evolution of real phenomena are challenging tasks that can improve the design of …
evolution of real phenomena are challenging tasks that can improve the design of …
Advanced tutorial: Parallel and distributed methods for scalable discrete simulation
P Andelfinger, W Cai - 2022 Winter Simulation Conference …, 2022 - ieeexplore.ieee.org
Discrete simulation is an indispensable approach to investigate systems whose complexity
prohibits analytical modeling and for which real-world experimentation is costly or …
prohibits analytical modeling and for which real-world experimentation is costly or …
A Synchronized and Dynamic Distributed Graph structure to allow the native distribution of Multi-Agent System simulations
P Breugnot, B Herrmann, C Lang… - 2021 29th Euromicro …, 2021 - ieeexplore.ieee.org
Multi-Agent Systems (MAS) are naturally good candidates for large-scale parallel
simulations. However, implementing MAS simulations for distributed memory architectures …
simulations. However, implementing MAS simulations for distributed memory architectures …
Overcoming Computational Complexity: A Scalable Agent-Based Model of Traffic Activity Using FLAME-GPU
M Smilovitskiy, S Olmez, P Richmond… - … Conference on Practical …, 2024 - Springer
Agent-based modelling (ABM) has significantly advanced the simulation of complex systems
across various disciplines, including economic markets, traffic systems, and ecological …
across various disciplines, including economic markets, traffic systems, and ecological …
The effects of population size and information update rates on the emergent patterns of cooperative clusters in a large-scale social particle swarm model
We study the impact of network size in the context of interactions within social network
services (SNS) on cooperation among its users, as well as that of the speed of information …
services (SNS) on cooperation among its users, as well as that of the speed of information …