Human decision-making, as well as control of autonomous systems, have deployed deep learning models for detecting complex events from unstructured sensory data. However, the strong performance of these models is restricted to events with short intervals of time and space due to the limited context memory of their architectures. Thus, detecting events that transpire over long periods of time with m...Show More
We present the development of a cognitive agent for real-time, wide-area search applications. Wide-area search problems present specific challenges driven by limited resources, large search areas, and limited time to conduct a search or inspection. Cognitive agents present an opportunity to incorporate a range of reasoning and sensor processing approaches to more effectively focus attention and ma...Show More
