Title :
Generalized Optimal Game Theory in virtual decision-makings
Author :
Xinying, Yang ; Gong Guanghong ; Yuan, Tian ; Xiaoxia, Yu
Author_Institution :
Dept. of Autom. & Electr. Eng., Beihang Univ., Beijing
Abstract :
A dasiageneralized optimal game theorypsila (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.
Keywords :
fuzzy set theory; game theory; virtual reality; computer generated force; damage-summarizing algorithm; decision making equation; dynamic algorithm; fuzzy mathematics; generalized mathematics expectation; generalized optimal game theory; intelligent observer; large-scale 3D battlefield; mirror image; multigranularities; nonlinear decision making; observational target competition; random disturbance; virtual 3D system; virtual decision making; Decision making; Game theory; Heuristic algorithms; Large-scale systems; Mathematics; Mirrors; Moon; Nonlinear dynamical systems; Nonlinear equations; Testing; Generalized Optimal Game Theory; Intelligent Observer; Sensorial Decision-Making;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597668