Knowledge Commons of Institute of Automation,CAS
A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition | |
Zhao,Zhuoya1,2![]() ![]() ![]() ![]() ![]() | |
发表期刊 | Patterns
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2023 | |
页码 | 8 |
摘要 | During dynamic social interaction, inferring and predicting others’ behaviors through theory of mind (ToM) is crucial for obtaining benefits in cooperative and competitive tasks. Current multi-agent reinforcement learning (MARL) methods primarily rely on agent observations to select behaviors, but they lack inspiration |
语种 | 英语 |
七大方向——子方向分类 | 类脑模型与计算 |
国重实验室规划方向分类 | 其他 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56580 |
专题 | 脑图谱与类脑智能实验室_类脑认知计算 |
通讯作者 | Zeng,Yi |
作者单位 | 1.Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 2.School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China 3.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 4.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China 5.State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China |
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 | Zhao,Zhuoya,Zhao,Feifei,Zhao,Yuxuan,et al. A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition[J]. Patterns,2023:8. |
APA | Zhao,Zhuoya,Zhao,Feifei,Zhao,Yuxuan,Sun,Yinqian,&Zeng,Yi.(2023).A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition.Patterns,8. |
MLA | Zhao,Zhuoya,et al."A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition".Patterns (2023):8. |
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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 | ||
PIIS2666389923001265(4502KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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