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3 May 2018 Enabling intelligence with temporal world models
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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.
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Philip R. Osteen, Jason L. Owens, Robert St. Amant, Christo Robison, Brian Kaukeinen, and Michael DiBlasi "Enabling intelligence with temporal world models", Proc. SPIE 10640, Unmanned Systems Technology XX, 106400Q (3 May 2018);

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