Journal of System Simulation
Abstract
Abstract: Intelligent algorithm/intelligent platform/intelligent system intelligence capability testing and evaluation need to solve high-level intelligent opponent simulation problems, an intelligent opponent behavior simulation technology based on improved behavior tree is proposed. Four types of behavior tress nodes are designed, including behavior control, combat tasks, behavior actions, and execution condition node. Five atomic behavior actions and parameters are established, including maneuver, reconnaissance and early warning, command and decision-making, firepower strike, and electronic interference node. Five atomic condition nodes are provided, including target selection, weapon launch, and incoming weapon judgment node. The intelligent adversarial behavior simulation system is designed, including a behavior rule editor and a behavior rule engine. The adversaries behavior simulation execution process is established. Considering the typical application scenarios of air ground collaborative confrontation in border areas, the simulation results indicate that the simulated intelligent opponent behavior can support the evaluation of intelligent capabilities.
Recommended Citation
Zhou, Fang; Fan, Bo; Liu, Xiaoyi; Ding, Yishan; Zhang, Ningxin; Shao, Yachao; and Zhai, Xiaoyu
(2024)
"An Intelligent Adversaries Behavior Simulation Technology Based on Improved Behavior Trees,"
Journal of System Simulation: Vol. 36:
Iss.
9, Article 2.
DOI: 10.16182/j.issn1004731x.joss.24-0364
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss9/2
First Page
1995
Last Page
2003
CLC
TP391.9
Recommended Citation
Zhou Fang, Fan Bo, Liu Xiaoyi, et al. An Intelligent Adversaries Behavior Simulation Technology Based on Improved Behavior Trees[J]. Journal of System Simulation, 2024, 36(9): 1995-2003.
DOI
10.16182/j.issn1004731x.joss.24-0364
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons