Big Mechanism
Abstract
The Big Mechanism program created new approaches to automate computational intelligence applicable to diverse domains such as biology, cyber, economics, social science, and intelligence. Mastering these domains requires the capability to create abstract, causal models from massive volumes of diverse data. Current modeling approaches are heavily reliant on human insight and expertise, but the complexity of these models will soon exceed the capacity for human comprehension. Big Mechanism created technologies to: extract and normalize information for incorporation in flexible knowledge bases; build reasoning engines that can infer general rules from a collection of observations; and develop knowledge synthesis techniques to create models of extreme complexity consistent with huge volumes of data. Big Mechanism applications accommodate an operator-in-the-loop to clarify ambiguities and reconcile detected inconsistencies. The program focused on cancer modeling due to the availability of experimental data. The complexity of this problem is representative of challenges facing the DoD in areas such as cyber attribution and open-source intelligence.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2020
- Source ID
- 0f0711caf8c13a80a616228751d30680