Knowledge Commons of Institute of Automation,CAS
Tactical intention recognition in Wargame | |
Xuan Liu1,2; Meijing Zhao1; Song Dai1; Qiyue Yin1; Wancheng Ni1 | |
2021 | |
会议名称 | 2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS) |
会议日期 | 23-26 April 2021 |
会议地点 | Chengdu, China |
摘要 | Opponent modeling is a significant method in imperfect information games. And intention recognition is regarded as the important but difficult in opponent modeling. This paper focuses on the task of tactical intention recognition in computational wargame. We propose an approach to recognize opponents' intention which models the intention as long-term trajectories. The approach consists of situation encoding model and position prediction model. The first model uses attention mechanism to attach the statistic map data with dynamic feature and adopt CNN to learn the representation of battlefield situation. The position prediction model then predicts the long-term trajectories of opponents, based on well-represented situation vectors. Experiment indicates that our approach is proven to be effective on the task of tactical intention recognition in wargame. Meanwhile, a high-quality replay data set for analyzing the actions' characteristics is also provided in this paper. |
关键词 | wargame tactical intention recognition feature fusion time series prediction model |
DOI | 10.1109/ICCCS52626.2021.9449256 |
收录类别 | EI |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48803 |
专题 | 复杂系统认知与决策实验室_智能系统与工程 |
通讯作者 | Wancheng Ni |
作者单位 | 1.中国科学院自动化研究所智能系统与工程研究中心 2.中国科学院大学人工智能学院 |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Xuan Liu,Meijing Zhao,Song Dai,et al. Tactical intention recognition in Wargame[C],2021. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Tactical_Intention_R(2771KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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