• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

模仿互动中的轮流机制:基于自由能原理的机器人社交互动

Turn-Taking Mechanisms in Imitative Interaction: Robotic Social Interaction Based on the Free Energy Principle.

作者信息

Wirkuttis Nadine, Ohata Wataru, Tani Jun

机构信息

Cognitive Neurorobotics Research Unit, Okinawa Institute of Science and Technology Graduate University, 1919-1 Tancha, Onna-son 904-0495, Okinawa, Japan.

出版信息

Entropy (Basel). 2023 Jan 31;25(2):263. doi: 10.3390/e25020263.

DOI:10.3390/e25020263
PMID:36832633
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9955692/
Abstract

This study explains how the leader-follower relationship and turn-taking could develop in a dyadic imitative interaction by conducting robotic simulation experiments based on the free energy principle. Our prior study showed that introducing a parameter during the model training phase can determine leader and follower roles for subsequent imitative interactions. The parameter is defined as w, the so-called meta-prior, and is a weighting factor used to regulate the complexity term versus the accuracy term when minimizing the free energy. This can be read as sensory attenuation, in which the robot's prior beliefs about action are less sensitive to sensory evidence. The current extended study examines the possibility that the leader-follower relationship shifts depending on changes in w during the interaction phase. We identified a phase space structure with three distinct types of behavioral coordination using comprehensive simulation experiments with sweeps of w of both robots during the interaction. Ignoring behavior in which the robots follow their own intention was observed in the region in which both ws were set to large values. One robot leading, followed by the other robot was observed when one w was set larger and the other was set smaller. Spontaneous, random turn-taking between the leader and the follower was observed when both ws were set at smaller or intermediate values. Finally, we examined a case of slowly oscillating w in anti-phase between the two agents during the interaction. The simulation experiment resulted in turn-taking in which the leader-follower relationship switched during determined sequences, accompanied by periodic shifts of ws. An analysis using transfer entropy found that the direction of information flow between the two agents also shifted along with turn-taking. Herein, we discuss qualitative differences between random/spontaneous turn-taking and agreed-upon sequential turn-taking by reviewing both synthetic and empirical studies.

摘要

本研究通过基于自由能原理进行机器人模拟实验,解释了在二元模仿互动中领导者 - 追随者关系和轮流机制是如何发展的。我们之前的研究表明,在模型训练阶段引入一个参数可以确定后续模仿互动中的领导者和追随者角色。该参数定义为w,即所谓的元先验,是一个加权因子,用于在最小化自由能时调节复杂度项与准确度项。这可以理解为感觉衰减,即机器人对动作的先验信念对感觉证据不太敏感。当前的扩展研究考察了在互动阶段领导者 - 追随者关系是否会根据w的变化而转变的可能性。我们通过在互动过程中对两个机器人的w进行扫描的全面模拟实验,确定了具有三种不同类型行为协调的相空间结构。在两个w都设置为较大值的区域中,观察到机器人忽略自身意图的行为。当一个w设置得较大而另一个设置得较小时,观察到一个机器人引领,另一个机器人跟随。当两个w都设置为较小或中间值时,观察到领导者和追随者之间自发的、随机的轮流。最后,我们研究了在互动过程中两个智能体之间w以反相缓慢振荡的情况。模拟实验导致了轮流,其中领导者 - 追随者关系在确定的序列中切换,同时伴随着w的周期性变化。使用转移熵的分析发现,两个智能体之间的信息流方向也随着轮流而转变。在此,我们通过回顾综合研究和实证研究,讨论随机/自发轮流与商定的顺序轮流之间的定性差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/8398aa735ecd/entropy-25-00263-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/0ff30ea03c9f/entropy-25-00263-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/5df6921f6a39/entropy-25-00263-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/00f68d309848/entropy-25-00263-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/f9bfa476b578/entropy-25-00263-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/3e7306912d58/entropy-25-00263-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/ffa1a7c15269/entropy-25-00263-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/853a85364905/entropy-25-00263-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/9013e7b00143/entropy-25-00263-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/b724536e3b61/entropy-25-00263-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/a564c72c6bc8/entropy-25-00263-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/de3a09d73ee6/entropy-25-00263-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/1dafd73658a5/entropy-25-00263-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/8398aa735ecd/entropy-25-00263-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/0ff30ea03c9f/entropy-25-00263-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/5df6921f6a39/entropy-25-00263-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/00f68d309848/entropy-25-00263-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/f9bfa476b578/entropy-25-00263-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/3e7306912d58/entropy-25-00263-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/ffa1a7c15269/entropy-25-00263-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/853a85364905/entropy-25-00263-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/9013e7b00143/entropy-25-00263-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/b724536e3b61/entropy-25-00263-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/a564c72c6bc8/entropy-25-00263-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/de3a09d73ee6/entropy-25-00263-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/1dafd73658a5/entropy-25-00263-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90e9/9955692/8398aa735ecd/entropy-25-00263-g012.jpg

相似文献

1
Turn-Taking Mechanisms in Imitative Interaction: Robotic Social Interaction Based on the Free Energy Principle.模仿互动中的轮流机制:基于自由能原理的机器人社交互动
Entropy (Basel). 2023 Jan 31;25(2):263. doi: 10.3390/e25020263.
2
Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.在流行地区,服用抗叶酸抗疟药物的人群中,叶酸补充剂与疟疾易感性和严重程度的关系。
Cochrane Database Syst Rev. 2022 Feb 1;2(2022):CD014217. doi: 10.1002/14651858.CD014217.
3
Leader-Follower Approach for Non-Holonomic Mobile Robots Based on Extended Kalman Filter Sensor Data Fusion and Extended On-Board Camera Perception Controlled with Behavior Tree.基于扩展卡尔曼滤波器传感器数据融合和行为树控制的扩展车载摄像头感知的非完整移动机器人领导者-跟随者方法
Sensors (Basel). 2023 Nov 1;23(21):8886. doi: 10.3390/s23218886.
4
Speed Control for Leader-Follower Robot Formation Using Fuzzy System and Supervised Machine Learning.基于模糊系统和监督式机器学习的领导者-跟随者机器人编队速度控制
Sensors (Basel). 2021 May 14;21(10):3433. doi: 10.3390/s21103433.
5
Investigation of the Sense of Agency in Social Cognition, Based on Frameworks of Predictive Coding and Active Inference: A Simulation Study on Multimodal Imitative Interaction.基于预测编码和主动推理框架的社会认知中能动性意识的研究:多模态模仿互动的模拟研究
Front Neurorobot. 2020 Sep 7;14:61. doi: 10.3389/fnbot.2020.00061. eCollection 2020.
6
Learning acquisition of consistent leader-follower relationships depends on implicit haptic interactions.一致的领导者-跟随者关系的学习获取取决于内隐触觉交互。
Sci Rep. 2023 Mar 1;13(1):3476. doi: 10.1038/s41598-023-29722-6.
7
Locally operated assistant manipulators with selectable connection system for robotically assisted laparoscopic solo surgery.具有可选连接系统的本地操作辅助机械手,用于机器人辅助腹腔镜单人手术。
Int J Comput Assist Radiol Surg. 2021 Apr;16(4):683-693. doi: 10.1007/s11548-021-02338-9. Epub 2021 Mar 12.
8
Human-robot interaction: the impact of robotic aesthetics on anticipated human trust.人机交互:机器人美学对预期人类信任的影响。
PeerJ Comput Sci. 2022 Jan 14;8:e837. doi: 10.7717/peerj-cs.837. eCollection 2022.
9
A Study on the Effectiveness of IT Application Education for Older Adults by Interaction Method of Humanoid Robots.《基于仿人机器人交互方法的老年人信息技术应用教育效果研究》
Int J Environ Res Public Health. 2022 Sep 2;19(17):10988. doi: 10.3390/ijerph191710988.
10
Kinematics fingerprints of leader and follower role-taking during cooperative joint actions.领导者和追随者在合作联合动作中角色转换的运动学特征。
Exp Brain Res. 2013 May;226(4):473-86. doi: 10.1007/s00221-013-3459-7. Epub 2013 Mar 17.

引用本文的文献

1
Modeling autonomous shifts between focus state and mind-wandering using a predictive-coding-inspired variational recurrent neural network.使用受预测编码启发的变分递归神经网络对注意力状态和走神之间的自主转换进行建模。
Front Comput Neurosci. 2025 Jul 2;19:1578135. doi: 10.3389/fncom.2025.1578135. eCollection 2025.
2
Bio-Inspired Intelligent Systems: Negotiations between Minimum Manifest Task Entropy and Maximum Latent System Entropy in Changing Environments.生物启发式智能系统:在不断变化的环境中最小显性任务熵与最大潜在系统熵之间的协商
Entropy (Basel). 2023 Nov 14;25(11):1541. doi: 10.3390/e25111541.
3
Simulating developmental diversity: Impact of neural stochasticity on atypical flexibility and hierarchy.

本文引用的文献

1
Enactive-Dynamic Social Cognition and Active Inference.具身-动态社会认知与主动推理
Front Psychol. 2022 Apr 29;13:855074. doi: 10.3389/fpsyg.2022.855074. eCollection 2022.
2
Active Inference Through Energy Minimization in Multimodal Affective Human-Robot Interaction.多模态情感人机交互中通过能量最小化实现主动推理
Front Robot AI. 2021 Nov 26;8:684401. doi: 10.3389/frobt.2021.684401. eCollection 2021.
3
Precision control for a flexible body representation.精确控制柔性体表示。
模拟发育多样性:神经随机性对非典型灵活性和层级结构的影响。
Front Psychiatry. 2023 Mar 15;14:1080668. doi: 10.3389/fpsyt.2023.1080668. eCollection 2023.
Neurosci Biobehav Rev. 2022 Mar;134:104401. doi: 10.1016/j.neubiorev.2021.10.023. Epub 2021 Nov 1.
4
Predictive Processing in Cognitive Robotics: A Review.认知机器人中的预测处理:综述。
Neural Comput. 2021 Apr 13;33(5):1402-1432. doi: 10.1162/neco_a_01383.
5
Bidirectional interaction between visual and motor generative models using Predictive Coding and Active Inference.使用预测编码和主动推理实现视觉和运动生成模型的双向交互。
Neural Netw. 2021 Nov;143:638-656. doi: 10.1016/j.neunet.2021.07.016. Epub 2021 Jul 24.
6
Inform: Efficient Information-Theoretic Analysis of Collective Behaviors.《信息:集体行为的高效信息论分析》
Front Robot AI. 2018 Jun 11;5:60. doi: 10.3389/frobt.2018.00060. eCollection 2018.
7
Personogenesis Through Imitating Human Behavior in a Humanoid Robot "Alter3".通过仿人机器人“Alter3”中的人类行为进行人格塑造
Front Robot AI. 2021 Jan 18;7:532375. doi: 10.3389/frobt.2020.532375. eCollection 2020.
8
PID Control as a Process of Active Inference with Linear Generative Models.作为基于线性生成模型的主动推理过程的PID控制
Entropy (Basel). 2019 Mar 7;21(3):257. doi: 10.3390/e21030257.
9
Investigation of the Sense of Agency in Social Cognition, Based on Frameworks of Predictive Coding and Active Inference: A Simulation Study on Multimodal Imitative Interaction.基于预测编码和主动推理框架的社会认知中能动性意识的研究:多模态模仿互动的模拟研究
Front Neurorobot. 2020 Sep 7;14:61. doi: 10.3389/fnbot.2020.00061. eCollection 2020.
10
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series.基于存储计算的多元时间序列表示与分类方法。
IEEE Trans Neural Netw Learn Syst. 2021 May;32(5):2169-2179. doi: 10.1109/TNNLS.2020.3001377. Epub 2021 May 3.