A Hybrid Neural Network and Rule-Based System for Behavioral CBRN (BCBRN) Real-Time Assessment
Agency / Branch:
DOD / DARPA
The ABC Behavioral model, pattern classification methodology, and an expert, rule based system are proposed as key approaches to: (1) capture relevant historical data from actual CBRN cases to extract patterns among environmental events and organizationcharacteristics, and (2) augment historical data with CBRN agent-specific characteristics to provide an enhanced predictive system. The purpose of the application is to construct a CBRN assessment instrument accessible on the web that may be used todetermine the likelihood of threat of CBRN attack as directed toward the organization completing the assessment and, as a result of the assessment, to receive recommendations if threat is determined. Using well-tested, reliable, and validated modelingmethodologies developed for DARPA, the CBRN assessment instrument proposal expands this past work to the specific area of asymmetric CBRN threat and applied threat assessment.
Small Business Information at Submission:
PSYNAPSE TECHNOLOGIES, LLC
1000 Thomas Jefferson St. N.W. Washington, DC 20007
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