Don’t simulate twice: one-shot sensitivity analyses via automatic differentiation
Agent-based models (ABMs) are a promising tool to simulate complex environments. Their rapid adoption requires scalable specification, efficient data-driven calibration, and validation through sensitivity analyses. Recent progress in tensorized and differentiable ABM design (GradABM) has enabled fas...
| Hauptverfasser: | , , , , , , |
|---|---|
| Format: | Conference item |
| Sprache: | English |
| Veröffentlicht: |
Association for Computing Machinery
2023
|