A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition | |
Zhao,Zhuoya1,3; Zhao,Feifei1; Zhao,Yuxuan1; Sun,Yinqian1,3; Zeng,Yi1,2,3,4,5 | |
刊名 | Patterns
![]() |
2023 | |
页码 | 8 |
英文摘要 | 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 |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/56580] ![]() |
专题 | 类脑智能研究中心_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 Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China 3.School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China 4.State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China 5.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China |
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. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论