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Attention Markets of Blockchain-Based Decentralized Autonomous Organizations

IEEE/CAA Journal of Automatica Sinica 2024年第6期11卷 1370-1380页

作者： Juanjuan Li Rui Qin Sangtian Guan Wenwen Ding Fei Lin Fei-Yue Wang State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190 Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China IEEE

The attention is a scarce resource in decentralized autonomous organizations(DAOs),as their self-governance relies heavily on the attention-intensive decision-making process of“proposal and voting”.To prevent the negative effects of pro-posers’attention-capturing strategies that contribute to the“tragedy of the commons”and ensure an efficient distribution of attention among multiple proposals,it is necessary to establish a market-driven allocation scheme for DAOs’***,the Harberger tax-based attention markets are designed to facilitate its allocation via continuous and automated trading,where the individualized Harberger tax rate(HTR)determined by the pro-posers’reputation is ***,the Stackelberg game model is formulated in these markets,casting attention to owners in the role of leaders and other competitive proposers as *** equilibrium trading strategies are also discussed to unravel the intricate dynamics of attention ***,utilizing the single-round Stackelberg game as an illustrative example,the existence of Nash equilibrium trading strategies is ***,the impact of individualized HTR on trading strategies is investigated,and results suggest that it has a negative correlation with leaders’self-accessed prices and ownership duration,but its effect on their revenues varies under different *** study is expected to provide valuable insights into leveraging attention resources to improve DAOs’governance and decision-making process.

关键词： Attention decentralized autonomous organizations Harberger tax Stackelberg game.

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Safety-critical Stability of Switched Linear Autonomous systems under Arbitrary Switching 63

Safety-critical Stability of Switched Linear Autonomous Syst...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Wang, Miaomiao Sun, Zhendong Academy of Mathematics and Systems Science Chinese Academy of Sciences Key Laboratory of Systems and Control Beijing100190 China Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao266590 China

ISBN: (纸本)9798350316339

Given a switched system and a safe region that is a subset of the state space, a state trajectory is safe if the whole trajectory is within the safe region. The safety-critical stability problem here is to determine the safe initial domain that is the set of initial states with safe trajectories under arbitrary switching. We prove that the safe initial domain is of full dimension iff the switched system is stable. Moreover, under the assumption that the switched system is exponentially stable and the safe region is regular, we present a computational procedure to numerically characterize the safe initial domain with the help of the newly introduced concept of 'cut-tail-points'. A numerical example is presented to verify the effectiveness of the proposed scheme. © 2024 IEEE.

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The positive role of gain noise in non-Hermitian reciprocal quantum sensing with two coherent drives 41

The positive role of gain noise in non-Hermitian reciprocal ...

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第41届中国控制会议

作者： Liying Bao Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences University of Chinese Academy of Sciences

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Unconventional non-Hermitian properties have been harnessed to enhance quantum ***-reciprocity has been identified as a powerful resource for non-Hermitian ***,it was demonstrated that with two coherent drives,reciprocal non-Hermitian sensors can attain the same limit as those of non-reciprocal *** this paper we demonstrate the positive role played by the gain noise in making a reciprocal sensor to have an arbitrarily large *** do this,we take the best possible measurement rate per photon as the figure of *** is found that for the single-drive case,the best possible measurement rate per photon of reciprocal and non-reciprocal sensors do not change in the ideal case where the gain and loss are ignored;For the two-drive case,the best performance of non-reciprocal sensors can still be made arbitrarily large no matter whether gain and loss are *** gain noise is however crucial for reciprocal sensors to have an arbitrarily large *** the noise is regarded as a negative effect that can greatly degrade the performance of sensing,this work helps to better understand the positive role of gain in reciprocal sensing.

关键词： Non-Hermitian quantum sensing signal-to-noise ratio per photon reciprocal sensor non-reciprocal sensor quantum Fisher information

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Non-Hermitian quantum sensing in the regime beyond linear response 41

Non-Hermitian quantum sensing in the regime beyond linear re...

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第41届中国控制会议

作者： Liying Bao Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences University of Chinese Academy of Sciences

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Non-Hermitian systems have been extensively studied in quantum metrology due to their unique properties,such as the skin effects,exceptional points,and the *** has been demonstrated that although non-Hermitian systems may achieve ultra-high precision of quantum sensing,the measurement precision greatly depends on the position of the coherent drive in the regime of linear *** this paper,we further investigate how the position of the coherent drive impacts the precision of non-Hermitian sensing in the regime beyond linear *** is found that in contrast to the linear case,the best possible quantum Fisher information per photon of the sensor does not depend on the position of the coherent drive in the nonlinear perturbation regime.

关键词： Non-Hermitian quantum sensing signal-to-noise ratio per photon quantum Fisher information nonlinear response homodyne detection

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An Efficient Two-Step Approach to Fair and Sparse Transactions Allocation 63

An Efficient Two-Step Approach to Fair and Sparse Transactio...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： He, Yinjie Guo, Jian Shi, Ruoshi Zhao, Yanlong University of Chinese Academy of Sciences Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematical Sciences Beijing China Postdoctoral Research Workstation of Industrial and Commercial Bank of China 100032 China Academy of Mathematics and Systems Science Chinese Academy of Sciences 100140 China

ISBN: (纸本)9798350316339

This study considers a practically important financial transactions allocation problem originated from interbank market. To achieve fairness and sparsity at the same time, we formulate the problem as a non-linear sparse optimization problem. A novel two-step algorithm that (1) finds the most sparse but not necessarily fair solution, (2) then utilizes iterative local adjustments to cope with non-linear fairness constraint is proposed. An adaptive parameter selection method to improve efficiency, avoiding time-consuming parameter search is devised. We provide theoretical guarantees that the two-step algorithm along with the adaptive parameter selection can always find a feasible solution with as much sparsity as possible. The effectiveness and efficiency of the algorithm is demonstrated by conducting empirical analysis on a real dataset from financial industry. © 2024 IEEE.

关键词： Decentralized finance

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From Plant Modeling to Narrative science:Growing and Enjoying Scientific Fruits Naturally and Humanistically

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2522-2524页

作者： Fei-Yue Wang IEEE Macao University of Science and Technology Macao 999078China the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China

Dear Editor,Modeling is the first and essential step for control and automation,and large models,from current Chat GPT or large language models(LLMs)to future large knowledge models of knowledge automation,would be th... 详细信息

关键词： smart knowledge automation

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Multiscale method for identifying and marking the multiform fractures from visible-light rock-mass images

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Underground Space 2024年第3期16卷 279-300页

作者： Yongbo Pan Junzhi Cui Zhenhao Xu School of Mathematics and Statistics Zhengzhou UniversityZhengzhou 450001China The State Key Laboratory of Scientific and Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of SciencesBeijing 100190China Geotechnical and Structural Engineering Research Center Shandong UniversityJinan 250100China

Multiform fractures have a direct impact on the mechanical performance of rock *** accurately identify multiform fractures,the distribution patterns of grayscale and the differential features of fractures in their neighborhoods are *** on this,a multiscale processing algorithm is *** multiscale process is as *** the neighborhood of pixels,a grayscale continuous function is constructed using bilinear interpolation,the smoothing of the grayscale function is realized by Gaussian local filtering,and the grayscale gradient and Hessian matrix are calculated with high *** small-scale blocks,the pixels are classified by adaptively setting the grayscale threshold to identify potential line segments and *** the global image,potential line segments and mini-fillings are spliced together by progressing the block frontier layer-by-layer to identify and mark multiform *** accuracy of identifying multiform fractures is improved by constructing a grayscale continuous function and adaptively setting the grayscale thresholds on small-scale *** the layer-by-layer splicing algorithm is performed only on the domain of the 2-layer small-scale blocks,reducing the *** using rock mass images with different fracture types as examples,the identification results show that the proposed algorithm can accurately identify the multiform fractures,which lays the foundation for calculating the mechanical parameters of rock masses.

关键词： Visible light rock-mass images Continuous grayscale function Small-scale blocks Multiform fractures

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One-core neuron deep learning for time series prediction

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National science Review 2025年第2期12卷 315-328页

作者： Hao Peng Pei Chen Na Yang Kazuyuki Aihara Rui Liu Luonan Chen School of Mathematics South China University of Technology School of Future Technology South China University of Technology International Research Center for Neurointelligence The University of Tokyo Institutes for Advanced Study The University of Tokyo Key Laboratory of Systems Health Science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesChinese Academy of Sciences Key Laboratory of Systems Biology Shanghai Institute of Biochemistry and Cell Biology Center for Excellence in Molecular Cell Science Chinese Academy of Sciences Guangdong Institute of Intelligence Science and Technology

The enormous computational requirements and unsustainable resource consumption associated with massive parameters of large language models and large vision models have given rise to challenging ***, we propose an interpretable ‘small model’ framework characterized by only a single core-neuron, *** one-core-neuron system(OCNS), to significantly reduce the number of parameters while maintaining performance comparable to the existing ‘large models’ in time-series forecasting. With multiple delay feedback designed in this single neuron, our OCNS is able to convert one input feature vector/state into one-dimensional time-series/sequence, which is theoretically ensured to fully represent the states of the observed dynamical system. Leveraging the spatiotemporal information transformation, the OCNS shows excellent and robust performance in forecasting tasks, in particular for short-term high-dimensional systems. The results collectively demonstrate that the proposed OCNS with a single core neuron offers insights into constructing deep learning frameworks with a small model, presenting substantial potential as a new way for achieving efficient deep learning.

关键词： spatiotemporal information (STI) transformation one-core-neuron (OCN) small model deep learning time-series prediction large model

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Knowledge As Not Only Justified True Beliefs in Vision

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 297-299页

作者： Wenbo Zheng Fei-Yue Wang IEEE School of Computer Science and Artificial Intelligence Wuhan University of Technology Sanya Science and Education Innovation Park of Wuhan University of Technology the State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences

COMPUTATIONAL knowledge vision [1] is emphasized as a novel perspective or field in this paper. It first proposes the visual hierarchy and its connection to knowledge, stating that knowledge is a justified true belief. To further the previous research, we concisely summarize our recent works and suggest a new direction that knowledge is also a thought framework in vision.

关键词： Computational modeling Visualization Artificial intelligence Data models Visual perception Visual databases Training data

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Taking Myopic Best Response Against the Hedge Algorithm 42

Taking Myopic Best Response Against the Hedge Algorithm

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42nd Chinese control Conference, CCC 2023

作者： Guo, Xinxiang Mu, Yifen School of Mathematical Sciences University of Chinese Academy of Sciences Beijing China Academy of Mathematics and Systems Science The State Key Laboratory of Scientific and Engineering Computing Chinese Academy of Sciences Beijing China Academy of Mathematics and Systems Science The Key Laboratory of Systems and Control Chinese Academy of Sciences Beijing China

ISBN: (纸本)9789887581543

With the rapid development of artificial intelligence (AI), the game between the human and machine/AI becomes more and more common. The related theoretical analysis becomes significant and necessary, which however is still rare. This problem involves evolution analysis and optimal control of dynamic game systems driven by learning algorithms. In this paper, we consider a finitely repeated two-player zero-sum game. We study the dynamic evolution process of the game system, in which one player employs the Hedge algorithm and the other player takes the myopic best response. By the updating formula of the Hedge algorithm, we define a quantity called the state and construct the State Transition Triangle Graph (STTG). Then, we prove that the game system is periodic after o(T) stages. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Artificial intelligence

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