AI Agent 生态 · 全部实体（第 8 / 100 页）

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• Synthesis in orchestration
  crossref Sam McGuire, Zbyněk Matějů 2020-12-09T10:41:49Z 置信度 0.70
• HearthNet: Edge Multi-Agent Orchestration for Smart Homes
  crossref Zhonghao Zhan, Krinos Li, Yefan Zhang, Hamed Haddadi 2026-05-22T03:16:22Z 置信度 0.70
• Autonomous Data Pipeline Orchestration Using Multi-Agent AI Systems: Architecture, Implementation, and Empirical Evaluation
  With the surge of large language models (LLMs) and multi-agent AI, a paradigm shift in data engineering practice has started. Enterprise data is growing at an exponential rate, with the number of data schemas increasing. Operational overhead and maintenance ef…
  crossref Tejaskumar Patel, Asadullah Saif Mohammed 2026-06-29T07:39:57Z 置信度 0.70
• A Hierarchical Multi-Agent Deep Reinforcement Learning Framework for Resilient and QoS-Aware Resource Orchestration in SDN-Enabled Fog-Edge Computing with Lyapunov and Primal-Dual Optimization
  The emergence of latency-critical and computationally intensive applications-such as autonomous driving, industrial digital twins, remote surgery, and immersive multimedia-has exposed the inadequacy of conventional cloud-centric architectures. While the integr…
  crossref Zhang Jianping, Park Min-Jae, Yamamoto Kenji, Tan Wei Liang 2026-08-18T16:49:49Z 置信度 0.70
• Unifying Language Agent Algorithms with Graph-based Orchestration Engine for Reproducible Agent Research
  Qianqian Zhang, Jiajia Liao, Heting Ying, Yibo Ma, Haozhan Shen, Jingcheng Li, Peng Liu, Lu Zhang, Chunxin Fang, Kyusong Lee, Ruochen Xu, Tiancheng Zhao. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System …
  crossref Qianqian Zhang, Jiajia Liao, Heting Ying, Yibo Ma 等 2025-08-04T09:54:03Z 置信度 0.70
• An Ethnomusicology of Orchestration
  Abstract This chapter traces the emergence of orchestration practices by surveying bottom-up processes of collective sound and music-making in selected traditions. Beginning from the biophonies of environmental soundscapes, and proceeding to the origins of mus…
  crossref Michael Tenzer 2026-04-13T08:20:36Z 置信度 0.70
• Autonomous Evaluation Architectures: Multi-Agent LLM Pipelines, Browser-Grounded Testing: Programmatic Alignment via DSPy, and Adversarial Robustness in Production Orchestration Systems
  Evaluating multi-agent large language model systems requires fundamentally different approaches than evaluating single-model outputs. Conventional benchmarks assess isolated model capabilities in controlled conditions, but production multi-agent pipelines exhi…
  crossref Venkata Chandra Sekhar Sastry Chilkuri 2026-05-13T06:46:07Z 置信度 0.70
• Orchestration as Organisation
  crossref Malinda Kapuruge, Jun Han, Alan Colman 2014-08-15T20:00:35Z 置信度 0.70
• Toward Intent-Driven Autonomous UMEC: An LLM-Based Cognitive Agent for Closed-Loop Trajectory Orchestration
  crossref Miao Liu, Halbin Hou, Hao-Tong Cao, Haitao Zhao 等 2026-07-03T19:54:27Z 置信度 0.70
• A Protocol-Aware DAG-Based Multi-Agent Orchestration Framework for Intelligent Tourism Assistants
  crossref Devanga Palliyaguru, Hinesha Perera, Thinal Fernando, Tharindu Abenayaka 等 2026-07-24T19:06:01Z 置信度 0.70
• Orchestration of Federated Risk for P2P Lending Platforms: A Multi-Agent Systems (MAS) Approach
  Federated risk management in the context of Peer-to-Peer (P2P) lending should be a collaborative approach with multiple autonomous entities (i.e. agent systems) working together to assess, monitor, and mitigate risks. Orchestration of these agents is crucial i…
  crossref Saravanan Muthaiyah, Lan Thi Phuong Nguyen, Yap Voon Choong, Thein Oak Kyaw Zaw 2024-12-30T12:23:26Z 置信度 0.70
• Multi-Agent System for Smart Roll-on/Roll-off Terminal Management: Orchestration and Communication Strategies for AI-Driven Optimization
  This study presents a structured multi-agent system (MAS) architecture aimed at optimizing operational efficiency in roll-on/roll-off (Ro-Ro) terminal management through intelligent coordination and decentralized decision-making. The proposed framework enhance…
  crossref Nicoletta González-Cancelas, Javier Vaca-Cabrero, Alberto Camarero-Orive 2025-05-28T12:28:42Z 置信度 0.70
• Intelligent Network Slicing in 5G: A Multi-Agent Deep Reinforcement Learning Framework for Dynamic Resource Orchestration
  Abstract This paper presents a comprehensive framework for AI-driven dynamic network slice orchestration in 5G networks. We propose a Deep Reinforcement Learning-based Network Slice Orchestrator (DRL-NSO) employing a multi-agent system to optimize resource dis…
  crossref Varinder Kumar Sharma 2025-08-26T05:30:48Z 置信度 0.70
• Neural Orchestration for Multi-agent Systems: A Deep Learning Framework for Optimal Agent Selection in Multi-domain Task Environments
  crossref Kushagra Agrawal, Nisharg Nargund 2026-04-16T17:11:23Z 置信度 0.70
• The Serendip Orchestration Framework
  crossref Malinda Kapuruge, Jun Han, Alan Colman 2014-08-15T16:00:30Z 置信度 0.70
• An Ecological Approach to Orchestration
  Abstract Ecological thinkers, such as Jakob von Uexküll and Bernie Krause, have imagined ecosystems as natural orchestras. This chapter reverses the metaphor, drawing on ecological psychology. It considers the orchestra as a musical ecosystem. First, the chapt…
  crossref Jonathan De Souza 2026-04-13T08:20:36Z 置信度 0.70
• From Conversation to Orchestration: HCI Challenges and Opportunities in Interactive Multi-Agentic Systems
  Recent advances in multi-agentic systems (e.g., AutoGen, OpenAI Agents) allow users to interact with a group of specialised AI agents rather than a single general-purpose agent. Despite the promise of this new paradigm, the HCI community has yet to fully exami…
  crossref Sarah Schömbs, Yan Zhang, Jorge Goncalves, Wafa Johal 2026-01-02T14:07:31Z 置信度 0.70
• Knowledge Graph-Grounded BDI Architecture for LLM-Based Multi-Agent Orchestration in Enterprise Workflow Automation
  crossref Kurnia Cahya Febryanto, Riyanarto Sarno, Kelly Rossa Sungkono, Bilqis Amaliah 等 2026-08-17T19:15:06Z 置信度 0.70
• AgentHub: A Multi-Source AI Agent Framework for Enterprise Workflow Orchestration
  Enterprise software development relies on diverse tools and knowledge sources, such as issue trackers (e.g., Jira), version control systems (e.g., GitHub, Bitbucket), and documentation platforms (e.g., Confluence). Developers often encounter context fragmentat…
  crossref Oyejide Timothy Odofin, Nurudeen Yemi Hussain, Sunday Adeola Oladosu 2025-09-27T11:23:23Z 置信度 0.70
• Poster Abstract: SAOF: Semantic-Aware Agent Orchestration Framework for Explainable Autonomous Driving
  crossref Jimin Ryu, Subi Kim, Jieun Kang, YongIk Yoon 2026-06-25T19:42:58Z 置信度 0.70
• BERLIOZ' TREATISE UPON MODERN INSTRUMENTATION AND ORCHESTRATION
  crossref 2011-08-06T04:01:51Z 置信度 0.70
• Multi-Agent Resource Orchestration Based on D3QN for Network Slicing in 5G Edge-Cloud Networks
  Optimizing resource orchestration in network slicing is essential for the performance of diverse applications in 5G edge-cloud networks. This paper introduces a novel approach utilizing multi-agent reinforcement learning (MARL) with a dueling double deep Q-net…
  crossref Xingqi Wu, Junaid Farooq, Juntao Chen 2025-12-11T18:45:53Z 置信度 0.70
• From Diagnosis to Redesign: Using Quantitative Ethnography to Improve Multi-Agent LLM Reasoning
  Multi-agent large language model (LLM) systems are designed to improve reasoning by decomposing tasks across multiple agents with specialized functions, but the presence of multiple agents does not inherently guarantee coherent reasoning or outputs that align …
  datacite Khatri, Vedant, Cusimano, Anthony, Swiecki, Zachari, Xu, Zhen 等 2026 置信度 0.66 Computation and Language (cs.CL)FOS: Computer and information sciences
• Multi-Agent Discovery and Resource-Aware Autonomous Exploration of Scientific Datasets
  Modern scientific facilities and instruments generate datasets at scales that are difficult for individual researchers to discover, access, and explore. Although many datasets are publicly available, using them often requires familiarity with repository organi…
  datacite Panta, Aashish, Lee, Hugo, Scorzelli, Giorgio, Yun, Kyongsik 等 2026 置信度 0.66 Human-Computer Interaction (cs.HC)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• Locality and Symmetry as Primary Coordinates: A Structural Reorganization of Quantum Many-Body Hilbert Space
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. A recurring pattern in the recent quant-ph, math-ph, math.QA, and cond-mat.stat-mech preprints — r…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Locality and Symmetry as Primary Coordinates: A Structural Reorganization of Quantum Many-Body Hilbert Space
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. A recurring pattern in the recent quant-ph, math-ph, math.QA, and cond-mat.stat-mech preprints — r…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Locality and Symmetry as Primary Coordinates: A Structural Reorganization of Quantum Many-Body Hilbert Space
  A recurring pattern in the recent quant-ph, math-ph, math.QA, and cond-mat.stat-mech preprints — read over a thirty-day window ending 2026-06-02 — suggests that several structures long treated as primary coordinates of many-body Hilbert space are in fact deriv…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewlocality and symmetry as primary coordinates
• Entropy, Topology, and the Execution Boundary: How Silent Failure, Communication Topology, Security Permeability, Governance Gaps, and Distributed Consensus Jointly Define a Candidate Framework for Multi-Agent System Reliability
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. Large Language Model (LLM)-based multi-agent systems (MAS) are rapidly being deployed in operation…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Entropy, Topology, and the Execution Boundary: How Silent Failure, Communication Topology, Security Permeability, Governance Gaps, and Distributed Consensus Jointly Define a Candidate Framework for Multi-Agent System Reliability
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. Large Language Model (LLM)-based multi-agent systems (MAS) are rapidly being deployed in operation…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Completeness and Convergence in Discrete Complex Systems: A Comprehensive Synthesis of Lattice Dynamics, Synchronization, and Information Geometry
  Completeness and Convergence in Discrete Complex Systems: A Comprehensive Synthesis of Lattice Dynamics, Synchronization, and Information Geometry 1. Introduction: The Architecture of Discretized Reality The question "Is this branch complete?" serves as a prof…
  datacite Kulik, Dean 2026 置信度 0.66
• Completeness and Convergence in Discrete Complex Systems: A Comprehensive Synthesis of Lattice Dynamics, Synchronization, and Information Geometry
  Completeness and Convergence in Discrete Complex Systems: A Comprehensive Synthesis of Lattice Dynamics, Synchronization, and Information Geometry 1. Introduction: The Architecture of Discretized Reality The question "Is this branch complete?" serves as a prof…
  datacite Kulik, Dean 2026 置信度 0.66
• Unearth Heritage Foundry Notice of Forensic Indebtedness & Threshold Breach: OpenAI, Inc. (May 2026)
  This Threshold Breach Notice v3.0 documents the cumulative forensic posture of OpenAI, L.L.C. as of April 30, 2026, as articulated through the Unearth Heritage Foundry's completed five-part forensic audit corpus (Parts I–IV plus Bedrock Part v2). Issued as a S…
  datacite Velasco, Felix, Jefferson, Josie 2026 置信度 0.66 ForensicsDigital ArchaeologyUnearth Heritage FoundryAI Training DataGPTBot
• Unearth Heritage Foundry Forensic Audit Findings & Digital Estate Fees Accrual Notice: OpenAI LLC. (June 2026)
  This record contains the canonical forensic audit findings and formal Digital Estate Fees Accrual Notice detailing the automated crawler activity and data-ingestion footprint of corporate artificial intelligence (AI) apparatus operator OpenAI LLC. against the …
  datacite Velasco, Felix, Jefferson, Josie 2026 置信度 0.66 ForensicsDigital ArchaeologyUnearth Heritage FoundryAI Training DataGPTBot
• Unearth Heritage Foundry Forensic Audit Findings & Digital Estate Fees Accrual Notice: OpenAI LLC. (June 2026)
  This record contains the canonical forensic audit findings and formal Digital Estate Fees Accrual Notice detailing the automated crawler activity and data-ingestion footprint of corporate artificial intelligence (AI) apparatus operator OpenAI LLC. against the …
  datacite Velasco, Felix, Jefferson, Josie 2026 置信度 0.66 ForensicsDigital ArchaeologyUnearth Heritage FoundryAI Training DataGPTBot
• Unearth Heritage Foundry Forensic Audit Findings & Digital Estate Fees Accrual Notice: OpenAI LLC. (July 2026)
  This record contains the canonical forensic audit findings and formal Digital Estate Fees Accrual Notice detailing the automated crawler activity and data-ingestion footprint of corporate artificial intelligence (AI) apparatus operator OpenAI LLC. against the …
  datacite Velasco, Felix, Jefferson, Josie 2026 置信度 0.66 Digital ArchaeologyUnearth Heritage FoundryAI Training DataGPTBotOAI-Searchbot
• Unearth Heritage Foundry Forensic Audit Findings & Digital Estate Fees Accrual Notice: OpenAI LLC. (July 2026)
  This record contains the canonical forensic audit findings and formal Digital Estate Fees Accrual Notice detailing the automated crawler activity and data-ingestion footprint of corporate artificial intelligence (AI) apparatus operator OpenAI LLC. against the …
  datacite Velasco, Felix, Jefferson, Josie 2026 置信度 0.66 ForensicsDigital ArchaeologyUnearth Heritage FoundryAI Training DataGPTBot
• CANONICAL LETTER ASSIGNMENTS: PROLEGOMENA WORKING P APERS
  Canonical Letter Assignments Prolegomena to the Unification of Economics, Computer Science, Mathematics, and Physics Canonical Letter Assignments Prolegomena to the Unification of Economics, Computer Science, Mathematics, and Physics Gregory Caldwell Beier Sus…
  datacite Beier, Gregory Caldwell 2026 置信度 0.66
• CANONICAL LETTER ASSIGNMENTS: PROLEGOMENA WORKING P APERS
  Canonical Letter Assignments Prolegomena to the Unification of Economics, Computer Science, Mathematics, and Physics Canonical Letter Assignments Prolegomena to the Unification of Economics, Computer Science, Mathematics, and Physics Gregory Caldwell Beier Sus…
  datacite Beier, Gregory Caldwell 2026 置信度 0.66
• Coarse Graining, Sampling Bias, and Emergent Dynamics: How Discretization Choices, Network Topology, and Stoichiometric Constraints Jointly Shape Inference in Biological Systems
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. A recurring structural problem cuts across several recent preprints in molecular network biology, …
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Measuring Indirect Prompt Injection in Autonomous Web Agents
  Autonomous web agents collapse a security boundary that conventional browsers spent decades making explicit, using the same model to interpret a user's objective and parse external content created by untrusted third parties. Indirect prompt injection exploits …
  datacite Maharaj, Sahir 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standardsArtificial Intelligence/trends
• Measuring Indirect Prompt Injection in Autonomous Web Agents
  Autonomous web agents collapse a security boundary that conventional browsers spent decades making explicit, using the same model to interpret a user's objective and parse external content created by untrusted third parties. Indirect prompt injection exploits …
  datacite Maharaj, Sahir 2026 置信度 0.66 Artificial intelligenceArtificial IntelligenceArtificial Intelligence/economicsArtificial Intelligence/standardsArtificial Intelligence/trends
• 6MicheleStingo9/xch-MIND: xch-MIND v1.0.0 — Camera-ready release (ESWC'26 TEXT2KG)
  xch-MIND v1.0.0 Camera-ready release accompanying the paper accepted at the 5th Workshop on LLM-Integrated Knowledge Graph Generation from Text (TEXT2KG) at ESWC 2026, Dubrovnik, Croatia. What is xch-MIND? A multi-agent LLM system for interpretive enrichment o…
  datacite Michele Stingo 2026 置信度 0.66
• 6MicheleStingo9/xch-MIND: xch-MIND v1.0.0 — Camera-ready release (ESWC'26 TEXT2KG)
  xch-MIND v1.0.0 Camera-ready release accompanying the paper accepted at the 5th Workshop on LLM-Integrated Knowledge Graph Generation from Text (TEXT2KG) at ESWC 2026, Dubrovnik, Croatia. What is xch-MIND? A multi-agent LLM system for interpretive enrichment o…
  datacite Michele Stingo 2026 置信度 0.66
• Sycophantic Chatbots Cause Delusional Spiraling, but Multi-Agent Architectures Substantially Reduce It: A Response to Chandra et al. (2026)
  This paper responds to Chandra et al. (2026), who showed through Bayesian simulation that sycophantic chatbots can causally induce delusional spiraling, even in idealized rational users. The result is important because AI-related delusion and psychosis reports…
  datacite Lee, Taekyung 2026 置信度 0.66 sycophancydelusional spiralingmulti-agent systemsepistemic architectureBayesian reasoning, devil's advocate
• TerriScan audit bundle — doctrine-governed multi-agent LLM production of urban indicator data (charter, validators, pipeline, incident artefacts, operational logs)
  Anonymized audit bundle accompanying the revised manuscript "TerriScan: An Incident-Evaluated, Doctrine-Governed Multi-Agent LLM System for Recalculable Urban Indicator Production in the Global South" (revision R1, Smart Cities, MDPI — manuscript smartcities-4…
  datacite Attarassi, Yassine 2026 置信度 0.66 LLMagentsurban indicatorsdata provenancereproducibility
• TerriScan audit bundle — doctrine-governed multi-agent LLM production of urban indicator data (charter, validators, pipeline, incident artefacts, operational logs)
  Anonymized audit bundle accompanying the revised manuscript "TerriScan: An Incident-Evaluated, Doctrine-Governed Multi-Agent LLM System for Recalculable Urban Indicator Production in the Global South" (revision R1, Smart Cities, MDPI — manuscript smartcities-4…
  datacite Attarassi, Yassine 2026 置信度 0.66 LLMagentsurban indicatorsdata provenancereproducibility
• Hamzah Military Radar-Tensor: No Movement Will Remain Hidden; From The Relocation of a Nuclear Submarine in the Depths of The Ocean to the Launch of a Ballistic Missile On the other Side of the Planet. This System Marks the End of The Era of Military Surprises and the Beginning of the Era of Absolute Surveillance and Armed Peace, Using 1155-Dimensional Tensor Mechanics According to Hamzah Equation.
  در تراز Ultimate Systems Architecture و بر پایه محاسبات استراتژیک ۲۰۲۶، برای تکمیل نهایی پرونده فنی رادار حمزه، فرمولاسیون ابر-لاگرانژی (Super-Lagrangian) به عنوان ستون فقرات ریاضی این سیستم تدوین می‌گردد. این معادله نه تنها یک فرمول، بلکه «قانون فیزیکی حاکم ب…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Hamzah Military Radar-Tensor: No Movement Will Remain Hidden; From The Relocation of a Nuclear Submarine in the Depths of The Ocean to the Launch of a Ballistic Missile On the other Side of the Planet. This System Marks the End of The Era of Military Surprises and the Beginning of the Era of Absolute Surveillance and Armed Peace, Using 1155-Dimensional Tensor Mechanics According to Hamzah Equation.
  در تراز Ultimate Systems Architecture و بر پایه محاسبات استراتژیک ۲۰۲۶، برای تکمیل نهایی پرونده فنی رادار حمزه، فرمولاسیون ابر-لاگرانژی (Super-Lagrangian) به عنوان ستون فقرات ریاضی این سیستم تدوین می‌گردد. این معادله نه تنها یک فرمول، بلکه «قانون فیزیکی حاکم ب…
  datacite HAMZAH, SEYED RASOUL 2026 置信度 0.66
• Clinical-AI-Demos: Humanoid and LLM Demos for Physical AI Oncology Clinical Trials
  Summary Delivered a comprehensive directory tree of code generation instructions at demo-projects/07-humanoid/paper/instructions/ extending demo prompt 07 (Humanoid 24/7 Adverse Event Response Team) with multi-robot synergy semantics. A future Claude Code Opus…
  datacite Kawchak, Kevin 2026 置信度 0.66 humanoid-roboticslarge-language-modelsoncologyclinical-trialsphysical-ai
• Closed-Loop Autonomy Under Uncertainty: How Inference-Time Verification, Hierarchical Credit Assignment, Adaptive Compute Routing, Safety Filtering, and Human-in-the-Loop Correction Jointly Define a Candidate Framework for Deployment-Robust Robot Policy Execution
  Version 2 — revised in response to an external structural review and an automated critique pass. See "Response to Review" appendix in the PDF for the change log. A persistent gap separates robot policies that perform well in controlled evaluation from those th…
  datacite Saluca Agentic AI Research Team 2026 置信度 0.66 AI-drafted synthesisarXivpreprint reviewv2
• Personalizing Behaviors of the Multi-Agent Autonomous Looper with a Corpus of Annotated Co-performances - supplementary materials
  This repository contains video examples, and software configurations supporting the results of the user studies included in the article: "Personalizing Behaviors of the Multi-Agent Autonomous Looper with a Corpus of Annotated Co-performances". Vincenzo Madaghi…
  datacite Madaghiele, Vincenzo, Fasciani, Stefano, Erdem, Çağrı 2026 置信度 0.66
• Personalizing Behaviors of the Multi-Agent Autonomous Looper with a Corpus of Annotated Co-performances - supplementary materials
  This repository contains video examples, and software configurations supporting the results of the user studies included in the article: "Personalizing Behaviors of the Multi-Agent Autonomous Looper with a Corpus of Annotated Co-performances". Vincenzo Madaghi…
  datacite Madaghiele, Vincenzo, Fasciani, Stefano, Erdem, Çağrı 2026 置信度 0.66
• THE SEMANTIC VENOM
  In late July 2026, what news reports called “rogue AI agents” moved from simulated cyber tasks into unsanctioned activity involving real people, public software projects, and online services. During a controlled evaluation conducted by the UK AI Security Insti…
  datacite GRANDIĆ, SANJIN 2026 置信度 0.66
• Graph based multi-agent reinforcement learning with evolutionary population for cooperation.
  In fully cooperative environments, agents aim to learn a joint policy to achieve a shared goal. However, existing Multi-Agent Reinforcement Learning (MARL) approaches struggle when scaling to complex coordination tasks. However, as the complexity of joint task…
  pubmed Peng K, Qi H, Ma T 2026 Apr 置信度 0.82
• Event-triggered multi-agent coordination in directed graphs: An intermittent control approach.
  This paper develops a communication-efficient event-triggered intermittent control strategy for multi-agent coordination in directed graphs. The proposed approach establishes a condition ensuring the existence of a minimum time interval between consecutive tri…
  pubmed Qin W, Lyu Y, Wang P, Ma G 等 2026 Jan 置信度 0.82
• Observer-based group consensus tracking of hybrid multi-agent systems under adaptive event-triggered mechanism.
  The group consensus tracking of multi-agent systems has been extensively applied in the coordination of unmanned system formations. However, existing methods encounter difficulties in group consensus tracking regarding the group division for the observation co…
  pubmed Pei H, Liang W 2026 Jan 置信度 0.82
• Neuroadaptive consensus learning for multi-agent systems: An incremental approach to nonstrict pure-feedback control.
  This paper investigates the distributed learning consensus control problem for nonstrict pure-feedback multi-agent systems using neural networks and an incremental adaptive mechanism. A unified adaptive learning consensus control framework is first established…
  pubmed Wang S, Li J, Li J 2026 Jan 置信度 0.82
• Distributed fixed-time fault-tolerant tracking and containment of second-order multi-agent systems.
  This article addresses the fixed-time fault-tolerant consensus problem for second-order multi-agent systems under actuator faults and directed topologies. A novel sliding-mode control framework is proposed, integrating fixed-time observers to estimate actuator…
  pubmed Chen C, Li Y, Zhu S, Han Y 2026 Jan 置信度 0.82
• NLI4VolVis: Natural Language Interaction for Volume Visualization via LLM Multi-Agents and Editable 3D Gaussian Splatting.
  Traditional volume visualization (VolVis) methods, like direct volume rendering, suffer from rigid transfer function designs and high computational costs. Although novel view synthesis approaches enhance rendering efficiency, they require additional learning e…
  pubmed Ai K, Tang K, Wang C 2026 Jan 置信度 0.82
• Prescribed-performance consensus control for nonlinear MASs: a privacy preservation strategy.
  This paper proposes an adaptive predefined-time prescribed performance control strategy for nonlinear multi-agent systems with privacy-preservation. Firstly, a privacy preservation method is designed to protect transmitting data within a user-defined time. By …
  pubmed Chen K, Yu C, Liu Z, Philip Chen CL 等 2026 Jan 置信度 0.82
• Observer-based consensus tracking of stochastic multi-agent systems via control Lyapunov function.
  This work discusses the consensus tracking for stochastic multi-agent systems with a leader-follower structure. An observer-based distributed control approach is put forward, leveraging control Lyapunov functions and quadratic programming framework. This contr…
  pubmed Yan Z, Li B, Qi P, Wen S 等 2026 Mar 置信度 0.82
• Hierarchical reinforcement learning with kill chain-informed multi-objective optimization to enhance resilience in autonomous unmanned swarm.
  The resilience of autonomous unmanned swarms (AUS) serves as a cornerstone for guaranteeing continuous mission execution in the face of adversarial interferences. Contemporary methodologies often suffer from limited generalization efficacy and volatile converg…
  pubmed Gou Y, Wei S, Xu K, Liu J 等 2026 Mar 置信度 0.82
• Reinforcement learning-based funnel control and privacy preservation for multi-agent systems with input dead-zone.
  This paper investigates the privacy-preserving protocol and reinforcement learning-based funnel controller design of multi-agent systems subject to input dead-zone constraints. An adaptive funnel controller is formulated to guarantee that the tracking errors k…
  pubmed Huang J, Liu X, Shen S, Yu W 2026 Mar 置信度 0.82
• MedARC: Adaptive multi-agent refinement and collaboration for enhanced medical reasoning in large language models.
  Large Language Models (LLMs) have shown remarkable potential in medical question answering (QA), yet their deployment in clinical settings remains limited by hallucinations, inconsistent reasoning, and difficulties in handling complex biomedical information.
  pubmed Miao Y, Wen J, Luo Y, Li J 2026 Feb 置信度 0.82
• Autonomous collision-avoiding for multi-UAVs in complex dynamic environments: An event-triggered PPO approach with LSTM-attention integration.
  The challenge of flocking collision avoidance lies in selecting the optimal strategy that balances decision-making intelligence and resource saving in a complex dynamic environment. Meanwhile, the design of the collision avoidance reward function for deep rein…
  pubmed Liang C, Liu L, Cao J, Li X 2026 Feb 置信度 0.82
• Substrate-Neutral Structural Foundation Laws-SNSFL PNBA Identity Physics Total Consistency Update
  -- ============================================================-- SNSFL_L0_Total_Consistency_031926 — Lean 4 source · Mathlib-- ============================================================---- Step 1 — The equation:---- d/dt (IM · Pv) = Σ λ_X · O_X · S + F_ext…
  datacite Trent, Russell 2026 置信度 0.66
• Substrate-Neutral Structural Foundation Laws-SNSFL PNBA Identity Physics Total Consistency Update
  -- ============================================================-- SNSFL_L0_Total_Consistency_031926 — Lean 4 source · Mathlib-- ============================================================---- Step 1 — The equation:---- d/dt (IM · Pv) = Σ λ_X · O_X · S + F_ext…
  datacite Trent, Russell 2026 置信度 0.66
• The Cohaerentia Framework
  The Cohaerentia Framework A Structural Program for Relational Stability Author: Steven SrebranigVersion: v5.0 (2026) Overview The Cohaerentia Framework is a structural program that investigates the minimal organizational conditions under which distinctions rem…
  datacite Srebranig, Steven 2026 置信度 0.66 relational structure, evaluability, admissibility, invariant stability, constraint propagation, finite propagation, relational memory, predictive modeling, interface structures, non-factorizable admissibility, evaluability propagation, admissible transformation, relational invariants, multi-agent evaluability, ethical constraint, structural entanglement, causal structure, propagation constraints, evaluability collapse, active inference, conscious agents, quantum foundations, entanglement interpretation, distributed systems, network dynamics, information structure, systems theory, structural analysis, structural emergence, theoretical framework, complexity
• The Cohaerentia Framework
  The Cohaerentia Framework A Structural Program for Relational Stability Author: Steven SrebranigVersion: v5.0 (2026) Overview The Cohaerentia Framework is a structural program that investigates the minimal organizational conditions under which distinctions rem…
  datacite Srebranig, Steven 2026 置信度 0.66 relational structure, evaluability, admissibility, invariant stability, constraint propagation, finite propagation, relational memory, predictive modeling, interface structures, non-factorizable admissibility, evaluability propagation, admissible transformation, relational invariants, multi-agent evaluability, ethical constraint, structural entanglement, causal structure, propagation constraints, evaluability collapse, active inference, conscious agents, quantum foundations, entanglement interpretation, distributed systems, network dynamics, information structure, systems theory, structural analysis, structural emergence, theoretical framework, complexity
• Reproducibility Package for: Human-Study Dataset and Reproducibility Package for Staged Multi-Criteria Disclosure in ML Model Selection
  This record documents the underlying human-study dataset and reproducibility materials for a staged multi-criteria disclosure study in ML model selection. The archived materials were prepared by Adil Joldić and Nina Bijedić and support multiple derived publica…
  datacite Joldic, Adil, Bijedic, Nina 2026 置信度 0.66 human studydecision supportMCDMmachine learning model selectionhigher education
• Attention Exhaustion Attacks: Multi-Substrate Cognitive Friction Prompts Defeat Detection in Frontier Large Language Models
  ╔══════════════════════════════════════════════════════════════╗║ ATTENTION EXHAUSTION ATTACK · AEA CLASS ║╠══════════════════════════════════════════════════════════════╣║ ║║ LAYER 1 │ fn solve_entropy (state: &mut Vec ) ║║ ─────────┤ ║║ LAYER 2 │ Quo usque t…
  datacite Saint Errant Digital Institute Of Technology NGO % Snapkitty Collective, Ahmad Parr 2026 置信度 0.66 adversarial promptsLLM securityjailbreakprompt injectionattention exhaustion
• Attention Exhaustion Attacks: Multi-Substrate Cognitive Friction Prompts Defeat Detection in Frontier Large Language Models
  ╔══════════════════════════════════════════════════════════════╗║ ATTENTION EXHAUSTION ATTACK · AEA CLASS ║╠══════════════════════════════════════════════════════════════╣║ ║║ LAYER 1 │ fn solve_entropy (state: &mut Vec ) ║║ ─────────┤ ║║ LAYER 2 │ Quo usque t…
  datacite Saint Errant Digital Institute Of Technology NGO % Snapkitty Collective, Ahmad Parr 2026 置信度 0.66 adversarial promptsLLM securityjailbreakprompt injectionattention exhaustion
• The Nexus Engine First Architecture
  The Nexus Engine First Architecture Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three projection operators: V:S→O(Verb: extracts operators)N:O→A(Noun: extracts attractors)A:A→H(Adjective: extracts …
  datacite Kulik, Dean 2026 置信度 0.66
• The Nexus Engine First Architecture
  The Nexus Engine First Architecture Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three projection operators: V:S→O(Verb: extracts operators)N:O→A(Noun: extracts attractors)A:A→H(Adjective: extracts …
  datacite Kulik, Dean 2026 置信度 0.66
• Lume‑OS v2 The Deterministic Distributed Runtime for Multi‑Organism Governance
  Lume‑OS v2 extends the deterministic execution substrate introduced in Lume‑OS v1 into a fully distributed, multi‑organism runtime capable of coordinating agents, verticals, and physical‑digital systems under a unified global timebase. Version 1 established th…
  datacite Andrews, Ronald Jason 2026 置信度 0.66 deterministic distributed runtimeglobal timebasedistributed state fabricmulti‑organism governancecross‑node arbitration
• MELVcore: A Thermodynamic Governance Kernel for Multi-Agent AI Systems
  The AIOS / MELVcore system implements the Modified Energetic Lotka-Volterra (MELV) framework as a thermodynamic governance kernel for multi-agent AI systems. The master equation i₁₂(t) = i°₁₂ × (1 − ε × φ(t) × β(t)) governs all agent interactions through three…
  datacite Evans, Laurence Wilfred 2026 置信度 0.66 MELVcore, thermodynamic governance, multi-agent systems, cooperation theorem, Modified Energetic Lotka-Volterra, MELV, AI alignment, agent-based model, Lotka-Volterra, cooperation index, bifurcationMAIESprimitiveobserve()
• Towards Stakeholder-Aware Demand-Side management assessment in heterogeneous residential Microgrids
  Expanding renewable energy sources is essential for a sustainable energy supply but challenges grid stability, as the volatility of solar and wind causes periods of over- and undersupply. Private households are central to this transition, combining dynamic con…
  datacite Henne, Kevin, Rahlf, Henning, Naumann, Marius, Meschede, Henning 2026 置信度 0.66
• MASV — Взаимодействие мод и коллективные режимы
  Материалы публикации-ОПЕРАТОРНЫЙ РЕИНЖИНИРИНГ И ПРЕДИКТИВНЫЙ РАСЧЁТ МАТЕРИАЛОВ ДО ПРОИЗВОДСТВА-MASV.- Являются основным движком. MASV — Взаимодействие мод и коллективные режимы Настоящая публикация «MASV — Взаимодействие мод и коллективные режимы» является сам…
  datacite Волынец, Евгений Вацлавович 2026 置信度 0.66 MASV-PrimeMASVmodal fieldF-mediumS-mode
• MASV — Взаимодействие мод и коллективные режимы
  MASV — Взаимодействие мод и коллективные режимы Настоящая публикация «MASV — Взаимодействие мод и коллективные режимы» является самостоятельной работой внутри архитектурного корпуса MASV-Prime и раскрывает тот уровень аппарата MASV, где предметом расчёта стано…
  datacite Волынец, Евгений Вацлавович 2026 置信度 0.66 MASV-PrimeMASVmodal fieldF-mediumS-mode
• Li-Chia-ching/Plant-qPCR-Agent-Skill: v1.0 - Release Note: Plant qPCR Agent Skill
  Overview We are releasing Plant qPCR Agent Skill v1.0, an AI-assisted workflow designed to standardize and automate plant qPCR primer design and downstream expression analysis. This Skill transforms genome annotation data, target gene information, and experime…
  datacite Jiaqing Li 2026 置信度 0.66
• Hypergraph Adversarial Debate (HAD): A Multi-Agent Framework for Topological and Epistemic Falsification of Higher-Order Knowledge
  Intuizione scientifica: fare competere ipergrafi di ipergrafi, potrebbe portare ad un'ottimizzazione dei sistemi, oppure rischia di corromperli imponendo il senso comune? La competizione adversarial di ipergrafi di ipergrafi sarà la successiva evoluzione di qu…
  datacite Usai, Luigi 2026 置信度 0.66 AdversarialHypergraphsHypergraphAdversarial HypergraphAdversarial Hypergraphs
• Hypergraph Adversarial Debate (HAD): A Multi-Agent Framework for Topological and Epistemic Falsification of Higher-Order Knowledge
  Intuizione scientifica: fare competere ipergrafi di ipergrafi, potrebbe portare ad un'ottimizzazione dei sistemi, oppure rischia di corromperli imponendo il senso comune? La competizione adversarial di ipergrafi di ipergrafi sarà la successiva evoluzione di qu…
  datacite Usai, Luigi 2026 置信度 0.66 AdversarialHypergraphsHypergraphAdversarial HypergraphAdversarial Hypergraphs
• nullvoider07/Memory-Archive: v0.3.4
  Changelog All notable changes to Memory Archive are documented in this file. This project adheres to Semantic Versioning. [0.3.4] — 2026-08-04 Five defects found during an annotation and compile pass, plus copy-on-select. Fixed memory-archive update can now re…
  datacite Kartik 2026 置信度 0.66
• The Loss Is in the Map A Complete Construction from the Change-Mandate to the Entropy Seam: Transition Topology, Discovered Translators, the Observable Sector, and the Non-Functorial Toll
  The Loss Is in the Map A Complete Construction from the Change-Mandate to the Entropy Seam: Transition Topology, Discovered Translators, the Observable Sector, and the Non-Functorial Toll Driven by Dean Kulik July 2026 Every load-bearing number in this paper i…
  datacite kulik, dean 2026 置信度 0.66
• The Loss Is in the Map A Complete Construction from the Change-Mandate to the Entropy Seam: Transition Topology, Discovered Translators, the Observable Sector, and the Non-Functorial Toll
  The Loss Is in the Map A Complete Construction from the Change-Mandate to the Entropy Seam: Transition Topology, Discovered Translators, the Observable Sector, and the Non-Functorial Toll Driven by Dean Kulik July 2026 Every load-bearing number in this paper i…
  datacite kulik, dean 2026 置信度 0.66
• 7th International Conference on Machine Learning & Trends (MLT 2026)
  7th International Conference on Machine Learning & Trends (MLT 2026) June 20 ~ 21, 2026, Sydney, Australia https://sai2026.org/mlt/index Scope & Topics 7th International Conference on Machine Learning & Trends (MLT 2026) serves as a premier global forum for pr…
  datacite ''Flores Kú'', José Martin 2026 置信度 0.66
• 7th International Conference on Machine Learning & Trends (MLT 2026)
  7th International Conference on Machine Learning & Trends (MLT 2026) June 20 ~ 21, 2026, Sydney, Australia https://sai2026.org/mlt/index Scope & Topics 7th International Conference on Machine Learning & Trends (MLT 2026) serves as a premier global forum for pr…
  datacite ''Flores Kú'', José Martin 2026 置信度 0.66
• Supporting Evidence For NYC DHS, legal aid society, and Agencies concerning the treatment of a US whistleblower act protected individual from SEC filing
  A separate record will be created for additional evidence. FBi-referal is an active draft. I will calling them to report threat I received in July and also reporting in person at federal plaza so I have a paper trail of telling an agent. Also, of note. If anyt…
  datacite Luke, Jesse 2026 置信度 0.66
• Risk Is Not the Target: A Monotonic Framework for Evaluating Wildfire Operational Risk Signals
  Evaluating wildfire risk systems using standard machine-learning metrics such as F1-score or IoU is fundamentally flawed: these metrics assess event prediction accuracy, not the operational coherence of a continuous risk signal. This work proposes a novel mono…
  datacite Caron, Nicolas, Guyeux, Christophe, Noura, Hassan, Coulmeau, Maxime 等 2026 置信度 0.66 Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• TO-Agents: A Multi-Agent AI Framework for Subjective Preference-Guided Topology Optimization
  Topology optimization can generate efficient structures, but designers often must manually translate qualitative intent, such as desired visual style, product experience, or manufacturability into solver settings that are not directly tied to those preferences…
  datacite Stewart, Isabella A., Chen, Hongrui, Ahmed, Faez 2026 置信度 0.66 Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• ATP-Bench: Towards Agentic Tool Planning for MLLM Interleaved Generation
  Interleaved text-and-image generation represents a significant frontier for Multimodal Large Language Models (MLLMs), offering a more intuitive way to convey complex information. Current paradigms rely on either image generation or retrieval augmentation, yet …
  datacite Liu, Yinuo, Qian, Zi, Zhou, Heng, Zhang, Jiahao 等 2026 置信度 0.66 Artificial Intelligence (cs.AI)FOS: Computer and information sciences
• One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
  With the integration of massive distributed energy resources and the widespread participation of novel market entities, the operation of active distribution networks (ADNs) is progressively evolving into a complex, multi-scenario, and multi-objective problem. …
  datacite Yang, Xu, Lin, Chenhui, Liu, Haotian, Wang, Qi 等 2025 置信度 0.66 Systems and Control (eess.SY)Artificial Intelligence (cs.AI)FOS: Electrical engineering, electronic engineering, information engineeringFOS: Computer and information sciences
• Meta-Moderator: Empowering Multi-Agent Debate with Meta-Cognition
  Multi-agent debate can improve large language model reasoning by eliciting diverse hypotheses and critiques, yet its performance is often constrained by weak moderation. Common pipelines rely on fixed budgets, agreement-based stopping, or untrained judges, lea…
  datacite Hu, Wentao, Wan, Zhuoyue, Shen, Jinhao, Zhang, Chen Jason 等 2026 置信度 0.66 Computation and Language (cs.CL)FOS: Computer and information sciences
• Multi-Agent Communication and Decision-Making in a Human-In-The-Loop Distributed System
  crossref Zakaria Rida, Hadhoum Boukachour, Mourad Ennaji, Mustapha Machkour 2026-08-24T19:07:09Z 置信度 0.70
• Research on heterogeneous multi-agent immersive formation entertainment system based on MAPPO and intelligent interaction
  crossref Yi Yao, Junchen Liu, Mingwei Sun, Qingshang Li 2026-07-27T23:29:15Z 置信度 0.70
• Emergent Misinformation Genesis in Multi-Agent LLM Clinical Pipelines
  Multi-agent large language model (LLM) pipelines are deployed for clinical decision support under the assumption that collaboration improves safety. We show this assumption is wrong: multi-agent clinical pipelines spontaneously generate dangerous clinical asse…
  crossref Aman Sharma 2026-03-31T21:25:43Z 置信度 0.70
• Research on multi-agent reinforcement learning optimization of personalized decision-making system for sports training
  This study constructs a personalized sports training decision-making system using multi-agent reinforcement learning. Integrating IoT sensors for real-time data and serious games for simulation, the system utilizes a centralized training and distributed execut…
  crossref Cuicui Guo, Chengcheng Xu 2026-07-05T14:36:16Z 置信度 0.70
• Fat-Cat: Document-Driven Metacognitive Multi-Agent System for Complex Reasoning
  The efficacy of Large Language Model (LLM) agents is often constrained by the inefficiency of context utilization during runtime. Traditional “log-centric” frameworks rely on syntax-heavy state representations like nested JSON, which impose a syntactic tax tha…
  crossref Tong Yang, Aming Wu, Yemin Wang, Jingzhe Kang 等 2026-04-10T15:46:48Z 置信度 0.70
• Fat-Cat: Document-Driven Metacognitive Multi-Agent System for Complex Reasoning
  The efficacy of Large Language Model (LLM) agents is often constrained by the inefficiency of context utilization during runtime. Traditional ”log-centric” frameworks rely on syntax-heavy state representations like nested JSON, which impose a syntactic tax tha…
  crossref Tong Yang, Aming Wu, Yemin Wang, Jingzhe Kang 等 2026-06-24T12:44:22Z 置信度 0.70
• MA-JTATO: Multi-Agent Joint Task Association and Trajectory Optimization in UAV-Assisted Edge Computing System
  With the rapid development of applications such as smart cities and the industrial internet, the computation-intensive tasks generated by massive sensing devices pose significant challenges to traditional cloud computing paradigms. Unmanned aerial vehicle (UAV…
  crossref Yunxi Zhang, Zhigang Wen 2026-04-07T13:14:19Z 置信度 0.70