Sedrak V. Grigoryan, Nairi Hakobyan, Tadevos Baghdasaryan
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Knowledge-Based Solvers for RGT Combinatorial Problems
In this work, we present means for usage of RGT (Reproducible Game Trees) Solvers, that include knowledge acquisition, matching and decision making algorithms for RGT problems. The RGT Solvers are being regularly improved and the current implementation tries to cover the drawbacks of previous versions, improves presentation of classifiers and mental doings, as well as provides enhancements in interface. We also discuss ways of knowledge acquisition for marketing and battlefield problems by RGT Solvers
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