# Information Fusion **Entity class:** Sensor And Multimodal-Fusion Layer concept **Information Fusion** is a data-integration concept for bringing heterogeneous observations into a common, provenance-aware analytic environment. Used correctly, Information Fusion 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/Intelligence Fusion|Intelligence Fusion]]. - **ontology neighbors:** [[wiki/Multimodal Fusion|Multimodal Fusion]] and [[wiki/Intelligence Fusion|Intelligence Fusion]]. - **synthesis:** [[wiki/Counterterrorism Predictive Graph|Counterterrorism Predictive Graph]] and [[wiki/Predictive Intelligence Loop|Predictive Intelligence Loop]]. ## Sources - [IARPA — DIVA program (accessed September 23, 2026)](https://www.iarpa.gov/research-programs/diva) - [IARPA — AGILE technical overview (accessed September 23, 2026)](https://www.iarpa.gov/images/research-programs/AGILE/AGILE_ModSim_-_Final.pdf) **As of:** 2026-09-23