Robust hierarchical reasoning over sensor data with the Soar cognitive architecture
Timothy Saucer, Jacob Crossman · 2018
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.