Improving Computational Efficiency in Context-Based Reasoning Simulations
This thesis describes a method for improving Computer Generated Forces (CGF) simulations by extending the Context-Based Reasoning (CxBR) element of Situation Interpretation Metrics (SIMs) as a way to improve the context transition process and overall efficiency. To effectively cope with a large number of possible choices while still exhibiting realistic tactical decision making, the CxBR framework requires extension of SIMs to allow representation of a more diverse set of situations. This approach allows for more effective duplication of human tactical decision making while also preserving the benefits of the competing context concept. By extending the SIMs and more effectively interpreting them) the occurrence of ambiguous context transitions would be significantly less than it currently is) making it possible to significantly reduce the computational needs of the simulation while at the same time improving overall realism. The approach to this problem is described and test results are presented.
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Gonzalez, Avelino J.
Bachelor of Science (B.S.)
College of Engineering and Computer Science
Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic
Length of Campus-only Access
Honors in the Major Thesis
Sanchez, Roberto, "Improving Computational Efficiency in Context-Based Reasoning Simulations" (2003). HIM 1990-2015. 364.