基于熵的战场态势不对称与稳定性建模
DOI:
CSTR:
作者:
作者单位:

1.陆军装甲兵学院演训中心;2.中国人民解放军66242部队;3.航天工程大学基础部;4.中国人民解放军91976部队

作者简介:

通讯作者:

中图分类号:

E917

基金项目:


Research on Battlefield Situation Asymmetry and Stability Modeling Based on Entropy
Author:
Affiliation:

Military Exercise and Training Center,Army Academy of Armored Forces

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为解决在军事行动中提供精准、客观的量化分析工具,探索信息论中熵的概念在战术态势分析中的创新应用。通过构建态势熵、态势不对称指数(Situation Asymmetry Index,SAI)以及态势稳定性指数(Situation Stability Index,SSI),用于定量评估战场上双方力量分布的动态特征。利用中科院自动化所庙算兵棋公开数据开展了实验。研究结果表明:态势熵有效度量了部队在空间上的分布情况,SAI可以识别力量分配的均衡性与不对称性,而SSI则评估了战场态势的稳定性。这些指标在兵棋推演中展现了其实用性和可靠性,能够帮助军事人员更好地理解战斗动态,优化战术决策,为在复杂对抗环境中制定有效战术提供坚实支持。该研究为军事态势分析提供了新的工具,开辟了计算机辅助战术决策的新方向。

    Abstract:

    To address the need for precise and objective quantitative analysis tools in military operations, this study explores the innovative application of the concept of entropy from information theory in tactical situation analysis. This is achieved by constructing Situation Entropy, Situation Asymmetry Index (SAI), and Situation Stability Index (SSI) to quantitatively assess the dynamic characteristics of force distribution on the battlefield. Experiments were conducted using the open data from the Institute of Automation, Chinese Academy of Sciences' tactical wargaming. The research findings indicate that Situation Entropy effectively measures the spatial distribution of troops, SAI can identify the balance and asymmetry in force allocation, and SSI evaluates the stability of the battlefield situation. These indices demonstrated their practicality and reliability in wargame simulations, aiding military personnel in better understanding battle dynamics, optimizing tactical decisions, and providing solid support for developing effective strategies in complex adversarial environments. This study introduces new tools for military situation analysis and paves the way for computer-aided tactical decision-making.

    参考文献
    相似文献
    引证文献
引用本文
相关视频

分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2025-04-24
  • 最后修改日期:2025-06-01
  • 录用日期:2025-05-06
  • 在线发布日期:
  • 出版日期:
文章二维码