A Learning Behavioral Model of CGF
- https://doi.org/10.2991/iske.2007.175How to use a DOI?
- Genetic algorithms, CGF, Agent, LCSs, learning behavioral modeling
The Computer Generated Force (CGF) has decision ability by self-learning mechanism, which is an important research field in applying machine learning technology to military simulation. On the basis of modeling architecture of Agent and Learning Classifier Systems (LCSs) technologies, a learning behavioral model framework based on Genetic Algorithms (GA) of CGF is proposed. It discusses elaborately the learning process of this model, in which memory function is first introduced to accelerate. Also, a visible validation system is designed. The simulated results indicate that the learning model is available and feasible
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xianquan Meng AU - Yingnan Zhao AU - Liguo Wang AU - Qing Xue PY - 2007/10 DA - 2007/10 TI - A Learning Behavioral Model of CGF BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 1029 EP - 1034 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.175 DO - https://doi.org/10.2991/iske.2007.175 ID - Meng2007/10 ER -