Adaptive Intelligence Aggregation

We have developed a conceptual agent-based information aggregation system for generating actionable knowledge by addressing the dynamical and distributed nature of the intelligence analysis. Ever-changing and compartmentalized information can be used for evaluating hypotheses by trading among analysts. Adaptive aggregation refers to built-in error correction by weighting the most current and relevant information, thereby addressing the dynamic aspect. Raw data and sources of information can remain distributed as needed. Knowledge is generated collectively using a system of hypothesis generation, investment, and probability discovery through trading. Contact: Mark Boslough, 505-845-8851; mbboslo@sandia.gov