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A Brain-Inspired Model of Theory of Mind | |
Zeng, Yi1,2,3,4![]() ![]() ![]() ![]() ![]() | |
发表期刊 | Frontiers in Neurorobotics
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ISSN | 1662-5218 |
2020-08-28 | |
卷号 | 14页码:17 |
摘要 | Theory of mind (ToM) is the ability to attribute mental states to oneself and others, and to understand that others have beliefs that are different from one's own. Although functional neuroimaging techniques have been widely used to establish the neural correlates implicated in ToM, the specific mechanisms are still not clear. We make our efforts to integrate and adopt existing biological findings of ToM, bridging the gap through computational modeling, to build a brain-inspired computational model for ToM. We propose a Brain-inspired Model of Theory of Mind (Brain-ToM model), and the model is applied to a humanoid robot to challenge the false belief tasks, two classical tasks designed to understand the mechanisms of ToM from Cognitive Psychology. With this model, the robot can learn to understand object permanence and visual access from self-experience, then uses these learned experience to reason about other's belief. We computationally validated that the self-experience, maturation of correlate brain areas (e.g., calculation capability) and their connections (e.g., inhibitory control) are essential for ToM, and they have shown their influences on the performance of the participant robot in false-belief task. The theoretic modeling and experimental validations indicate that the model is biologically plausible, and computationally feasible as a foundation for robot theory of mind. |
关键词 | theory of mind false-belief task brain inspired model self-experience connection maturation inhibitory control |
DOI | 10.3389/fnbot.2020.00060 |
关键词[WOS] | SELF-PERSPECTIVE INHIBITION ; TEMPORO-PARIETAL JUNCTION ; FALSE-BELIEF TASK ; NEURAL BASIS ; OTHERS ; METAANALYSIS ; PERCEPTION ; UNDERSTAND ; COGNITION ; AUTISM |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDB32070100] ; Beijing Municipality of Science and Technology[Z181100001518006] ; CETC Joint Fund[6141B08010103] ; Major Research Program of Shandong Province[2018CXGC1503] ; Key Research Program of Frontier Sciences of Chinese Academy of Sciences[ZDBS-LY-JSC013] |
项目资助者 | Strategic Priority Research Program of Chinese Academy of Sciences ; Beijing Municipality of Science and Technology ; CETC Joint Fund ; Major Research Program of Shandong Province ; Key Research Program of Frontier Sciences of Chinese Academy of Sciences |
WOS研究方向 | Computer Science ; Robotics ; Neurosciences & Neurology |
WOS类目 | Computer Science, Artificial Intelligence ; Robotics ; Neurosciences |
WOS记录号 | WOS:000570490100001 |
出版者 | FRONTIERS MEDIA SA |
是否为代表性论文 | 否 |
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 | 认知机理与类脑学习 |
是否有论文关联数据集需要存交 | 否 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/41977 |
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.Research Center for Brain-Inspired Intelligence, Institute of Automation, Chinese Academy of Sciences 2.Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences 3.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences 4.School of Artificial Intelligence, University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所; 模式识别国家重点实验室 |
通讯作者单位 | 中国科学院自动化研究所; 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Zeng, Yi,Zhao, Yuxuan,Zhang, Tielin,et al. A Brain-Inspired Model of Theory of Mind[J]. Frontiers in Neurorobotics,2020,14:17. |
APA | Zeng, Yi,Zhao, Yuxuan,Zhang, Tielin,Zhao, Dongcheng,Zhao, Feifei,&Lu, Enmeng.(2020).A Brain-Inspired Model of Theory of Mind.Frontiers in Neurorobotics,14,17. |
MLA | Zeng, Yi,et al."A Brain-Inspired Model of Theory of Mind".Frontiers in Neurorobotics 14(2020):17. |
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