系统仿真学报 ›› 2024, Vol. 36 ›› Issue (9): 1995-2003.doi: 10.16182/j.issn1004731x.joss.24-0364

• 专栏 • 上一篇    

一种基于改进行为树的智能对手行为模拟技术

周芳1, 范波2, 刘小毅1, 丁一珊2, 张宁馨1, 邵亚超2, 翟小玉2   

  1. 1.中国电子科技集团公司第二十八研究所 信息系统工程全国重点实验室, 江苏 南京 210007
    2.军科科学院 国防科技创新研究院, 北京 100071
  • 收稿日期:2024-04-09 修回日期:2024-06-03 出版日期:2024-09-15 发布日期:2024-09-30
  • 通讯作者: 丁一珊
  • 第一作者简介:周芳(1982-),男,研究员,博士,研究方向为系统仿真试验与评估。

An Intelligent Adversaries Behavior Simulation Technology Based on Improved Behavior Trees

Zhou Fang1, Fan Bo2, Liu Xiaoyi1, DingYishan 2, Zhang Ningxin1, Shao Yachao2, Zhai Xiaoyu2   

  1. 1.Information System Engineering National Important Laboratory, the 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China
    2.National Innovation Institute of Defense Technology, Academy of Military Science, Beijing 100071, China
  • Received:2024-04-09 Revised:2024-06-03 Online:2024-09-15 Published:2024-09-30
  • Contact: DingYishan

摘要:

为解决智能算法/智能平台/智能系统智能化能力测试评估需高水平的智能对手模拟问题,提出了基于改进行为树的智能对手行为模拟技术。设计了行为控制、作战任务、行为动作、执行为4类行为树节点,建立了机动、侦察预警、指挥决策、火力打击和电子干扰5类原子行为动作和参数,给出了打击目标选择、武器发射、来袭武器判断等5类原子条件;提出了智能对手行为模拟系统组成,包括行为规则编辑器与行为规则引擎,建立了对手行为模拟运行流程。结合边境区域空地协同对抗典型应用场景,仿真结果表明模拟的智能对手行为能够支持智能化能力评估。

关键词: 智能对抗, 行为树, 对手行为模拟, 规则引擎, 智能试验

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.

Key words: intelligent adversarial, behavior tree, adversaries behavior simulation, rule engine, intelligence experiment

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