Generalized Optimal Game Theory in virtual decision-makings

A ‘Generalized Optimal Game Theory’ (GOGT) is proposed for the first time to establish special modeling and nonlinear decision-making, some principles and algorithms are also deduced from GOGT model. Junior and senior models derived from the main principles are respectively used to simulate models with multi-granularities and complicated decision-making problems. Crucial equation appending random disturbance holds the uniform scenario of Junior. A virtual 3D system of dynamic stars, moon and their mirror images in water is presented according to junior model. An armor CGF with multi-granularities is provided to testify the feasibility of senior model. Damage-summarizing and dynamic algorithm of aggregation is discussed using generalized mathematics expectation and fuzzy mathematics. Finally, an intelligent observer in large-scale 3D battlefield was designed using synthetic model. Quantitative parameters of nature, sense and complexity were presented The weighted 9-observational mode decision-making equation and observational target competition method are all calculated by advanced GOG models combining virtual and acoustical weights.