3 May 2018 Enabling intelligence with temporal world models
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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.
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Philip R. Osteen, Philip R. Osteen, Jason L. Owens, Jason L. Owens, Robert St. Amant, Robert St. Amant, Christo Robison, Christo Robison, Brian Kaukeinen, Brian Kaukeinen, Michael DiBlasi, Michael DiBlasi, } "Enabling intelligence with temporal world models", Proc. SPIE 10640, Unmanned Systems Technology XX, 106400Q (3 May 2018); doi: 10.1117/12.2304416; https://doi.org/10.1117/12.2304416
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