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Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms Research Article

Fei-Yue WANG, Jianbo GUO, Guangquan BU, Jun Jason ZHANG,jun.zhang.ee@whu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1142-1157 doi: 10.1631/FITEE.2100418

Abstract: We describe the historical development of complex system science and analyze the limitations of humanintelligence and machine intelligence.The need for using human-machine HAI in is then explained in detail.

Keywords: Complex systems     Human-machine knowledge automation     Parallel systems     Bulk power grid dispatch     Artificialintelligence    

Artificial intelligence and statistics Perspective

Bin YU, Karl KUMBIER

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 6-9 doi: 10.1631/FITEE.1700813

Abstract: It calls for the application of statistical concepts through human-machine collaboration during the generationThis paper discusses how such human-machine collaboration can be approached through the statistical conceptsThe PQRS workflow provides a conceptual framework for integrating statistical ideas with human input

Keywords: Artificial intelligence     Statistics     Human-machine collaboration    

Heading toward Artificial Intelligence 2.0

Yunhe Pan

Engineering 2016, Volume 2, Issue 4,   Pages 409-413 doi: 10.1016/J.ENG.2016.04.018

Abstract: in size of the information community, and interlinking and fusion of data and information throughout human

Keywords: Artificial intelligence 2.0     Big data     Crowd intelligence     Cross-media     Human-machine     hybrid-augmented     intelligence    

Human hip joint center analysis for biomechanical design of a hip joint exoskeleton Article

Wei YANG,Can-jun YANG,Ting XU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 792-802 doi: 10.1631/FITEE.1500286

Abstract: The approach is based on mechanisms designed to follow the natural trajectories of the human hip as theThe resulting design can reduce human-machine interaction forces by 24.1% and 76.0% during hip flexion

Keywords: Hip joint exoskeleton     Hip joint center     Compatible joint     Human-machine interaction force    

Challenges of humanmachine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: The purpose of this paper is to delineate the research challenges of humanmachine collaboration in riskyTechnological advances in machine intelligence have enabled a growing number of applications in humanmachineTherefore, it is desirable to achieve superior performance by fully leveraging human and machine capabilitiesAfterward, we review the literature on humanmachine collaboration in a general decision context, fromthe perspectives of humanmachine organization, relationship, and collaboration.

Keywords: humanmachine collaboration     risky decision-making     humanmachine team and interaction     task allocation     humanmachine relationship    

Human-machine augmented intelligence: research and applications Editorial

Jianru XUE, Bin HU, Lingxi LI, Junping ZHANG,jrxue@mail.xjtu.edu.cn,bh@lzu.edu.cn,LL7@iupui.edu,jpzhang@fudan.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 8,   Pages 1139-1141 doi: 10.1631/FITEE.2250000

Abstract: The main idea of human-machine augmented intelligence (HAI) is to adopt the role of humans or to embedRecent existing research activities on HITL-HAI include theories for human-machine collaboration, human-braininterfaces, human-machine coordination and teaming, and advanced perception and smart environments forhuman-machine collaboration.Brain-computer interfaces have become increasingly important among communication channels for human-machine

Parallel cognition: hybrid intelligence for human-machine interaction and management Research Article

Peijun YE, Xiao WANG, Wenbo ZHENG, Qinglai WEI, Fei-Yue WANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1765-1779 doi: 10.1631/FITEE.2100335

Abstract: models are sometimes not applicable in cyber-physical-social-systems (CPSSs), where the large number of humanTo reduce the decision-making conflicts between people and machines in human-centered systems, we proposepsychological model and user behavioral data is further proposed to adaptively learn an individual's cognitive knowledgecognitive visual reasoning, indicate that our parallel cognition learning is effective and feasible for human, and can thus facilitate human-machine cooperation in both complex engineering and social systems.

Keywords: Cognitive learning     Artificial intelligence     Behavioral prescription    

The imperative need to develop guidelines to manage human versus machine intelligence

Donald KENNEDY, Simon P. PHILBIN

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 182-194 doi: 10.15302/J-FEM-2018085

Abstract: Machine intelligence is increasingly entering roles that were until recently dominated by human intelligenceTherefore, this research explores the emerging area of human versus machine decision-making.We offer that the speed at which new human-machine interactions are being encountered by engineeringto situations where human and machine decisions conflict.Human-machine systems are becoming pervasive yet this research has revealed that current technological

Keywords: human intelligence & machine intelligence     HI-MI     decision-making     artificial intelligence    

The Thinking on Development of Knowledge Economy in Mining Industry

Yu Runcang

Strategic Study of CAE 2001, Volume 3, Issue 1,   Pages 40-43

Abstract: mining belongs to an ancient industry and its production object is natural resources.Facing the wave of knowledge

Keywords: knowledge economy     mining automation     sustainable development    

Machine learning in building energy management: A critical review and future directions

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 239-256 doi: 10.1007/s42524-021-0181-1

Abstract: Over the past two decades, machine learning (ML) has elicited increasing attention in building energy

Keywords: building energy management     machine learning     integrated framework     knowledge evolution    

How to Interpret Machine Knowledge

Fashen Li, Lian Li, Jianping Yin, Yong Zhang, Qingguo Zhou, Kun Kuang

Engineering 2020, Volume 6, Issue 3,   Pages 218-220 doi: 10.1016/j.eng.2019.11.013

Creating technical heritage object replicas in a virtual environment

Olga EGOROVA,Dmitry SHCHERBININ

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 1,   Pages 108-115 doi: 10.1007/s11465-016-0363-4

Abstract:

The paper presents innovative informatics methods for creating virtual technical heritage replicas, which are of significant scientific and practical importance not only to researchers but to the public in general. By performing 3D modeling and animation of aircrafts, spaceships, architectural-engineering buildings, and other technical objects, the process of learning is achieved while promoting the preservation of the replicas for future generations. Modern approaches based on the wide usage of computer technologies attract a greater number of young people to explore the history of science and technology and renew their interest in the field of mechanical engineering.

Keywords: 3D document     history of science and technology     technical knowledge     popularization     virtual environment     replica     mechanism and machine science (MMS)    

From Signal to Knowledge: The Diagnostic Value of Raw Data in the Artificial Intelligence Predictionof Human Data for the First Time

Bingxi He,Yu Guo,Yongbei Zhu,Lixia Tong,Boyu Kong,Kun Wang,Caixia Sun,Hailin Li,Feng Huang,Liwei Wu,Meng Wang,Fanyang Meng,Le Dou,Kai Sun,Tong Tong,Zhenyu Liu,Ziqi Wei,Wei Mu,Shuo Wang,Zhenchao Tang,

Engineering doi: 10.1016/j.eng.2023.02.013

Abstract: However, the current diagnosis pattern of signal to image to knowledge inevitably leads to informationArtificial intelligence (AI) technologies that can mine knowledge from vast amounts of data offer opportunitiesIn this prospective study, for the first time, we develop an AI-based signal-to-knowledge diagnosticOur results break new ground and demonstrate the potential for direct signal-to-knowledge domain analysis

Keywords: Computed tomography     Diagnosis     Deep learning     Lung cancer     Raw data    

Visual knowledge: an attempt to explore machine creativity Perspectives

Yueting Zhuang, Siliang Tang,yzhuang@zju.edu.cn,siliang@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5,   Pages 615-766 doi: 10.1631/FITEE.2100116

Abstract: 长期以来困扰人工智能领域的一个问题是:人工智能是否具有创造力,或者说,算法的推理过程是否可以具有创造性。本文从思维科学的角度探讨人工智能创造力的问题。首先,列举形象思维推理的相关研究;然后,重点介绍一种特殊的视觉知识表示形式,即视觉场景图;最后,详细介绍视觉场景图构造问题与潜在应用。所有证据表明,视觉知识和视觉思维不仅可以改善当前人工智能任务的性能,而且可以用于机器创造力的实践。

Keywords: 思维科学;形象思维推理;视觉知识表达;视觉场景图    

Title Author Date Type Operation

Mutually trustworthy human-machine knowledge automation and hybrid augmented intelligence: mechanisms

Fei-Yue WANG, Jianbo GUO, Guangquan BU, Jun Jason ZHANG,jun.zhang.ee@whu.edu.cn

Journal Article

Artificial intelligence and statistics

Bin YU, Karl KUMBIER

Journal Article

Heading toward Artificial Intelligence 2.0

Yunhe Pan

Journal Article

Human hip joint center analysis for biomechanical design of a hip joint exoskeleton

Wei YANG,Can-jun YANG,Ting XU

Journal Article

Challenges of humanmachine collaboration in risky decision-making

Journal Article

Human-machine augmented intelligence: research and applications

Jianru XUE, Bin HU, Lingxi LI, Junping ZHANG,jrxue@mail.xjtu.edu.cn,bh@lzu.edu.cn,LL7@iupui.edu,jpzhang@fudan.edu.cn

Journal Article

Parallel cognition: hybrid intelligence for human-machine interaction and management

Peijun YE, Xiao WANG, Wenbo ZHENG, Qinglai WEI, Fei-Yue WANG

Journal Article

The imperative need to develop guidelines to manage human versus machine intelligence

Donald KENNEDY, Simon P. PHILBIN

Journal Article

The Thinking on Development of Knowledge Economy in Mining Industry

Yu Runcang

Journal Article

Machine learning in building energy management: A critical review and future directions

Journal Article

Zang Jianfeng: Research on Intelligent Soft Materials for Human-Machine Integration(2020.1.10)

臧剑锋(高级职称)

2 Apr 2021

Conference Videos

How to Interpret Machine Knowledge

Fashen Li, Lian Li, Jianping Yin, Yong Zhang, Qingguo Zhou, Kun Kuang

Journal Article

Creating technical heritage object replicas in a virtual environment

Olga EGOROVA,Dmitry SHCHERBININ

Journal Article

From Signal to Knowledge: The Diagnostic Value of Raw Data in the Artificial Intelligence Predictionof Human Data for the First Time

Bingxi He,Yu Guo,Yongbei Zhu,Lixia Tong,Boyu Kong,Kun Wang,Caixia Sun,Hailin Li,Feng Huang,Liwei Wu,Meng Wang,Fanyang Meng,Le Dou,Kai Sun,Tong Tong,Zhenyu Liu,Ziqi Wei,Wei Mu,Shuo Wang,Zhenchao Tang,

Journal Article

Visual knowledge: an attempt to explore machine creativity

Yueting Zhuang, Siliang Tang,yzhuang@zju.edu.cn,siliang@zju.edu.cn

Journal Article