# High-Fidelity Model **Entity class:** Transport And Oden Dual-Use Layer concept **High-Fidelity Model** is a predictive-science concept for reconstructing, accelerating, or querying a physical or computational state under uncertainty. High-Fidelity Model belongs in the ontology because AI can compute over this structure while analysts retain responsibility for interpretation and authorized action. ## Counterterrorism predictive-graph role Transferability is documented at the level of mathematical method; a particular counterterrorism deployment remains a separate operational proposition requiring direct evidence. The analytic state should distinguish ground truth, observed evidence, inferred state, and predicted state. ## Relationships - **domain router:** [[wiki/Oden Institute|Oden Institute]]. - **ontology neighbors:** [[wiki/Multifidelity Modeling|Multifidelity Modeling]] and [[wiki/Low-Fidelity Model|Low-Fidelity Model]]. - **synthesis:** [[wiki/Counterterrorism Predictive Graph|Counterterrorism Predictive Graph]] and [[wiki/Predictive Intelligence Loop|Predictive Intelligence Loop]]. ## Sources - [Oden Institute — Minimizing Uncertainty in Uncertain World of Defense, Energy, December 5, 2017](https://oden.utexas.edu/news-and-events/news/minimizing-uncertainty-in-uncertain-world-of-defense-energy/) - [Oden Institute — How to Predict, Intervene, and Contain Current and Future Epidemics, October 19, 2020](https://oden.utexas.edu/news-and-events/news/CONTEXTanBuiThanh/) **As of:** 2026-09-23