# Predictive Intelligence Loop **Entity class:** Synthesis And Bridge Pages That Make The Whole Project Intelligible concept **Predictive Intelligence Loop** is a conditional forecasting concept for estimating possible future states without treating probability as determination. Used correctly, Predictive Intelligence Loop supports conditional inference and collection planning without promoting proximity, exposure, or model output into proof. ## Counterterrorism predictive-graph role The page records capability and analytic function. Any claim of a named operational deployment remains subject to the [[wiki/Counterterrorism Predictive Graph Evidence Ladder|evidence ladder]]. The analytic state should distinguish ground truth, observed evidence, inferred state, and predicted state. ## Relationships - **domain router:** [[wiki/Counterterrorism Predictive Graph|Counterterrorism Predictive Graph]]. - **ontology neighbors:** [[wiki/Forward and Inverse Counterterrorism Modeling|Forward and Inverse Counterterrorism Modeling]] and [[wiki/Observe-Infer-Forecast-Update|Observe-Infer-Forecast-Update]]. - **synthesis:** [[wiki/Counterterrorism Predictive Graph|Counterterrorism Predictive Graph]] and [[wiki/Predictive Intelligence Loop|Predictive Intelligence Loop]]. ## Sources - [IARPA — AGILE technical overview (accessed September 23, 2026)](https://www.iarpa.gov/images/research-programs/AGILE/AGILE_ModSim_-_Final.pdf) - [IARPA — Making Data Analysis More AGILE (accessed September 23, 2026)](https://www.iarpa.gov/newsroom/article/making-data-analysis-more-agile) **As of:** 2026-09-23