Dynamic Gaming Platform (DGP)
Final technical rept. Jul 2007-Mar 2009
LOCKHEED MARTIN ADVANCED TECHNOLOGY LABS CHERRY HILL NJ
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The objective of the ProActive INTellience PAINT teams efforts was to construct two models of an example target system, consisting of leaders who controlled pathways that required resources and time to execute. Lockheed Martin designed strategies that represented probes that were ultimately implemented as changes to the model inputs. The degree to which the outputs of the two models differs is considered the diagnosticity of the probes. A Strategy Engine was also developed that used a Genetic Algorithm GA to develop probes and a Controller to interface the GA to the two PAINT models. We were able to increase three-fold the diagnosticity of the probes.
- Information Science
- Numerical Mathematics