Adaptive computer‐generated forces for simulator‐based training, Expert Systems with Applications

• Main Authors: TENG, Teck-Hou, TAN, Ah-hwee, TEOW, Loo-Nin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Simulator-based training; Reinforcement learning; Self-organizing neural network; Computer and Systems Architecture; Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/5215; https://ink.library.smu.edu.sg/context/sis_research/article/6218/viewcontent/1_s2.0_S0957417413004661_main.pdf
• Institution: Singapore Management University

Simulator-based training is in constant pursuit of increasing level of realism. The transition from doctrine-driven computer-generated forces (CGF) to adaptive CGF represents one such effort. The use of doctrine-driven CGF is fraught with challenges such as modeling of complex expert knowledge and a...