18 May 2017 Priming for autonomous cognitive systems
Author Affiliations +
Proceedings Volume 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX; 1019421 (2017); doi: 10.1117/12.2262996
Event: SPIE Defense + Security, 2017, Anaheim, California, United States
Abstract
Considering context and the relationship between objects and events in the environment is a key component to developing the situational awareness necessary to accomplish abstract goals or effectively share information. We extend state of the art perception algorithms, which can identify specific objects in the environment, using cognitive reasoning to develop a deeper understanding of the scene based on the both the objects and their spatial relationships. Such understanding could impact the choice of tasks, routes, or observation positions in a military mission.
Conference Presentation
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Mary Anne Fields, Craig Lennon, Michael Martin, Christian Lebiere, "Priming for autonomous cognitive systems", Proc. SPIE 10194, Micro- and Nanotechnology Sensors, Systems, and Applications IX, 1019421 (18 May 2017); doi: 10.1117/12.2262996; https://doi.org/10.1117/12.2262996
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KEYWORDS
Algorithm development

Cognition

Cognitive modeling

Intelligence systems

Scene classification

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