A multi-stage pipeline uses model-based screening followed by ML surrogates to explore high-dimensional stochastic agent-based models and identify unstable regions.
Uncer- tainty management in simulation-optimization of complex systems: algorithms and applications pp
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
From Model-Based Screening to Data-Driven Surrogates: A Multi-Stage Workflow for Exploring Stochastic Agent-Based Models
A multi-stage pipeline uses model-based screening followed by ML surrogates to explore high-dimensional stochastic agent-based models and identify unstable regions.