LDRD project final report : hybrid AI/cognitive tactical behavior framework for LVC. Page: 27 of 35
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4. CONCLUSIONS
The basic purpose of this project was to advance Sandia's force-on-force (FoF) simulation
technologies to better support Precision Decisions and Live-Virtual-Constructive (LVC)
simulation. We obtained results in several areas that serve this purpose. The
conceptual architecture we develop enabled us to prioritize what components to improve and to
identify where latencies in human behavior might be exploitable in a simulation architecture.
We extended the capabilities of our previous extensible path planner and demonstrated that it
will enable raising the abstraction level at which behaviors can be specified. We applied it to
the tactical behaviors of a simulated human squad and live and constructive robots in an LVC
demonstration. We developed a new path planner that has greater extensibility in both structure
and planning task expressiveness and better space efficiency. We did preliminary experimental
work with multi-threading Umbra-based simulation to help define future directions for
improving scalability. We developed and implemented a data-driven simulation composition
approach based on adding capabilities to a simple entity at construction time that also simplifies
assurance of simulation fairness. Finally, we developed the core of a flexible, modular
framework for simulating working memory in character behavior.
The results of this project provides foundations for more advanced practical applications
development, provides structure into which we can integrate research results, and provides ideas
that we can build on in future research.27
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Djordjevich, Donna D.; Xavier, Patrick Gordon; Brannon, Nathan Gregory; Hart, Brian E.; Hart, Derek H.; Little, Charles Quentin et al. LDRD project final report : hybrid AI/cognitive tactical behavior framework for LVC., report, January 1, 2012; United States. (https://digital.library.unt.edu/ark:/67531/metadc839509/m1/27/?rotate=270: accessed July 16, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.