Agent based modelling (ABM) offers a powerful abstraction for scientific study in a broad range of domains. The use of agent based simulators encourages good software …
P Andelfinger - ACM Transactions on Modeling and Computer …, 2023 - dl.acm.org
Simulation-based optimization using agent-based models is typically carried out under the assumption that the gradient describing the sensitivity of the simulation output to the input …
Agent-based modeling plays an essential role in gaining insights into biology, sociology, economics, and other fields. However, many existing agent-based simulation platforms are …
Despite the successes of graphics processing units (GPUs) in accelerating simulations in several research fields, their use is largely restricted to domain-specific workloads that …
Parallel traffic simulation requires partitioning the road network into several components that can be assigned to different computing nodes (CPNs). Existing studies focus more on …
The human dimension is one major source of uncertainty in the management of social- ecological systems such as fisheries. Agent-based models (ABMs) can help to reduce these …
P Andelfinger - Proceedings of the 2021 ACM SIGSIM Conference on …, 2021 - dl.acm.org
Simulation-based optimization using agent-based models is typically carried out under the assumption that the gradient describing the sensitivity of the simulation output to the input …
The evolutionary game theory aims to simulate different decision strategies in populations of individuals and to determine how the population evolves. Compared to strategies between …