Robust hierarchical reasoning over sensor data with the Soar cognitive architecture

Timothy Saucer; Jacob Crossman

doi:10.1117/12.2304981

3 May 2018 Robust hierarchical reasoning over sensor data with the Soar cognitive architecture

Timothy Saucer, Jacob Crossman

Proceedings Volume 10643, Autonomous Systems: Sensors, Vehicles, Security, and the Internet of Everything; 106430S (2018) https://doi.org/10.1117/12.2304981
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

Sensor fusion remains a difficult task, particularly in noisy environments or when data are incomplete. The Soar cognitive architecture provides the ability to reason over these data sources and make decisions based on the situational context. To feed into the reasoning system, we have created a hierarchical system of analysis components operating at differing levels of complexity. This approach of building up the reasoning system provides robust behavior is applicable across a variety of domains.

Citation Download Citation

Timothy Saucer and Jacob Crossman "Robust hierarchical reasoning over sensor data with the Soar cognitive architecture", Proc. SPIE 10643, Autonomous Systems: Sensors, Vehicles, Security, and the Internet of Everything, 106430S (3 May 2018); https://doi.org/10.1117/12.2304981

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