PUBLICATIONS

A Multi-Agent Trust Framework for Fusing Subjective Opinions with Imperfect Understanding in Space Domain Awareness Using the Scruff AI Framework

Matthew Wilkins1, Sanja Cvijic2, Weston Faber1

Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS), Maui, HI (September 2024)

It is widely acknowledged that the space domain is contested and congested. [1] Owing to high dollar outcomes and negative impact to critical missions, agents in the space domain rarely accept data from untrusted sources (i.e. commercial and non-traditional). To this end, methods to speed the timeline for integration of new sensor sources are being proposed based upon tiered approaches to trust but they do not present a general formalism to compute with trust. [2] In the meantime, agents continue to rely on “vetted” sensors to independently assess complex events and then make consequential decisions. “Vetted” sensors typically are those that agents have control over and have been calibrated to their own specifications. [3] Therefore, the agent’s belief that correct decisions are being made is strictly shaped by the hard evidence (i.e. metric data plus uncertainty) provided by these sensors.

L3Harris
2 Charles River Analytics, Inc.

For More Information

To learn more contact Sanja Cvijic. Paper available AMOS 2024 Technical Papers.

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