This paper reviews methods for assessing credibility of simulation architectures made from multiple models, comparing sensitivity analysis, expert judgment, AI explainability, and network techniques on rigor, generalization, and resource requirements.
Cacuci, Sensitivity and Uncertainty Analysis, Volume I: Theory, vol
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SE 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Why Model Credibility Isn't Enough: -Rethinking Trust in Simulation Architectures
This paper reviews methods for assessing credibility of simulation architectures made from multiple models, comparing sensitivity analysis, expert judgment, AI explainability, and network techniques on rigor, generalization, and resource requirements.