Name
Abstract | ||
|---|---|---|
Agent-based models (ABMs) are an increasingly popular choice for simulating large systems of interacting components, and have been applied across a wide variety of natural and environmental systems. However, ABMs can be incredibly disparate and often opaque in their formulation, implementation, and analysis. This can impede critical assessment and re-implementation, and jeopardize the reproducibility and conclusions of ABM studies. In this review, we survey recent work towards standardization in ABM methodology in several aspects: model description and documentation, model implementation, and model analysis and inference. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.envsoft.2022.105514 | Environmental Modelling & Software |
Keywords | DocType | Volume |
Agent-based models,Simulation,Model analysis,Inference,Calibration | Journal | 157 |
ISSN | Citations | PageRank |
1364-8152 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aisling J. Daly | 1 | 0 | 0.34 |
| Lander De Visscher | 2 | 0 | 0.34 |
| Jan M. Baetens | 3 | 0 | 0.34 |
| Bernard De Baets | 4 | 2994 | 300.39 |