网络与信息安全学报 ›› 2021, Vol. 7 ›› Issue (4): 86-100.doi: 10.11959/j.issn.2096-109x.2021052

• 专栏Ⅰ:网络攻防技术 • 上一篇    下一篇

面向对手建模的意图识别方法综述

高巍1,2, 罗俊仁1, 袁唯淋1, 张万鹏1   

  1. 1 国防科技大学智能科学学院,湖南 长沙 410073
    2 96843部队,甘肃 兰州 730102
  • 修回日期:2020-09-25 出版日期:2021-08-15 发布日期:2021-08-01
  • 作者简介:高巍(1996− ),女,辽宁开原人,国防科技大学硕士生,主要研究方向为对手建模、任务规划、意图识别、弹道规划
    罗俊仁(1989− ),男,湖北大冶人,国防科技大学博士生,主要研究方向为智能体建模、对抗团队博弈、多智能体强化学习
    袁唯淋(1994− ),男,云南曲靖人,国防科技大学博士生,主要研究方向为安全博弈、对手建模、强化学习、多智能体系统
    张万鹏(1981− ),男,四川邛崃人,国防科技大学副研究员,主要研究方向为智能决策、任务规划、自动化和控制、人机协同
  • 基金资助:
    国家自然科学基金(61702528)

Survey of intention recognition for opponent modeling

Wei GAO1,2, Junren LUO1, Weilin YUAN1, Wanpeng ZHANG1   

  1. 1 College of Intelligence Science and Technology, National University of Defense and Technology, Changsha 410073, China
    2 The army of 96843, Lanzhou 730102, China
  • Revised:2020-09-25 Online:2021-08-15 Published:2021-08-01
  • Supported by:
    The National Natural Science Foundation of China(61702528)

摘要:

首先介绍了对手建模的几种不同的类型,引出行为建模中的意图识别问题;随后针对意图识别的过程、分类、主要研究方法、研究展望以及实际应用进行了归纳分析,总结并讨论了相关领域取得的最新研究成果;最后指出意图识别目前存在的不足以及未来的发展方向。

关键词: 对手建模, 意图识别, 目标识别, 计划识别, 目标识别设计, 计划识别设计

Abstract:

Several different methods of opponent modeling were introduced, leading to the problem of intention recognition in behavior modeling.Then, the process, classification, main methods, research prospects and practical applications of intention recognition were analyzed inductively, the latest research in related fields were summarized.Finally, some shortcomings of the current intention recognition and design methods were pointed out and some new insights for the future research were presented.

Key words: opponent modeling, intention recognition, goal recognition, plan recognition, goal recognition design, plan recognition design

中图分类号: 

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