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Enabling intelligence with temporal world models
Author(s): Philip R. Osteen; Jason L. Owens; Robert St. Amant; Christo Robison; Brian Kaukeinen; Michael DiBlasi
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Paper Abstract

A system for storing knowledge along with the ability to query it, which together we call a world model, provides a central source of relevant information to the various processes that constitute an autonomous agent. We outline the development of a world model that supports ontologies to describe the world, and provides interfaces for processes to populate and query the system, including queries over time. The world model is implemented as a tuple store with structural subsumption query support. We evaluate its effectiveness on an embodied system, and show that it can answer spatiotemporal queries about objects observed in the environment.

Paper Details

Date Published: 3 May 2018
PDF: 10 pages
Proc. SPIE 10640, Unmanned Systems Technology XX, 106400Q (3 May 2018); doi: 10.1117/12.2304416
Show Author Affiliations
Philip R. Osteen, U.S. Army Research Lab. (United States)
Jason L. Owens, U.S. Army Research Lab. (United States)
Robert St. Amant, U.S. Army Research Lab. (United States)
Christo Robison, U.S. Army Research Lab. (United States)
Brian Kaukeinen, U.S. Army Research Lab. (United States)
Michael DiBlasi, Engility Corp. (United States)


Published in SPIE Proceedings Vol. 10640:
Unmanned Systems Technology XX
Robert E. Karlsen; Douglas W. Gage; Charles M. Shoemaker; Hoa G. Nguyen, Editor(s)

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