Bridging the gap: simulations meet knowledge bases

Gary W. King; Clayton T. Morrison; David L. Westbrook; Paul R. Cohen

doi:10.1117/12.498092

4 September 2003 Bridging the gap: simulations meet knowledge bases

Gary W. King, Clayton T. Morrison, David L. Westbrook, Paul R. Cohen

Proceedings Volume 5091, Enabling Technologies for Simulation Science VII; (2003) https://doi.org/10.1117/12.498092
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

Tapir and Krill are declarative languages for specifying actions and agents, respectively, that can be executed in simulation. As such, they bridge the gap between strictly declarative knowledge bases and strictly executable code. Tapir and Krill components can be combined to produce models of activity which can answer questions about mechanisms and processes using conventional inference methods and simulation. Tapir was used in DARPA's Rapid Knowledge Formation (RKF) project to construct models of military tactics from the Army Field Manual FM3-90. These were then used to build Courses of Actions (COAs) which could be critiqued by declarative reasoning or via Monte Carlo simulation. Tapir and Krill can be read and written by non-knowledge engineers making it an excellent vehicle for Subject Matter Experts to build and critique knowledge bases.

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Gary W. King, Clayton T. Morrison, David L. Westbrook, and Paul R. Cohen "Bridging the gap: simulations meet knowledge bases", Proc. SPIE 5091, Enabling Technologies for Simulation Science VII, (4 September 2003); https://doi.org/10.1117/12.498092

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