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• Unearth Heritage Foundry Master Ledger: Canonical Licensing Architecture and Fee Schedule (v5.4.0)
  This record contains the canonical licensing framework of the Unearth Heritage Foundry Master Ledger: Canonical Licensing Architecture and Fee Schedule (v5.4.0). The Ledger serves as the proprietary legal and technical framework established by the Unearth Heri…
  datacite Velasco, Felix, Jefferson, Josie 2026 置信度 0.66 LLM Training DataArtificial IntelligenceCopyright InfringementWeb ScrapingGenerative AI
• Public Comment in Response to the NIST CAISI Request for Information on Security Considerations for Artificial Intelligence Agents (Docket NIST-2025-0035)
  Formal public comment submitted to the NIST Center for AI Standards and Innovation (CAISI) in response to the Request for Information "Security Considerations for Artificial Intelligence Agents" (Docket No. NIST-2025-0035; 91 FR 698; comment period closed Marc…
  datacite Smith, Richard 2026 置信度 0.66 AI agents
• Public Comment in Response to the NIST CAISI Request for Information on Security Considerations for Artificial Intelligence Agents (Docket NIST-2025-0035)
  Formal public comment submitted to the NIST Center for AI Standards and Innovation (CAISI) in response to the Request for Information "Security Considerations for Artificial Intelligence Agents" (Docket No. NIST-2025-0035; 91 FR 698; comment period closed Marc…
  datacite Smith, Richard 2026 置信度 0.66 AI agents
• AI for Science Strategic Compass (AFSC): A Strategy Matrix for Scientific Research Planning
  Scientific researchers increasingly recognize that AI can expand what can be measured, inferred, simulated, optimized, generated, and automated. Converting that potential into an effective research plan remains challenging. Domain specialists usually understan…
  datacite Liu, Ran, Lin, Zhibin, Huang, Xiaowei 2025 置信度 0.66 AI for scienceAFSCAI-enabled scientific discoveryScientific research planningResearch strategy
• AI for Science Strategic Compass (AFSC): A Strategy Matrix for Scientific Research Planning
  Scientific researchers increasingly recognize that AI can expand what can be measured, inferred, simulated, optimized, generated, and automated. Converting that potential into an effective research plan remains challenging. Domain specialists usually understan…
  datacite Liu, Ran, Lin, Zhibin, Huang, Xiaowei 2025 置信度 0.66 AI for scienceAFSCAI-enabled scientific discoveryScientific research planningResearch strategy
• SheffieldGATE at SemEval-2025 Task 2: Multi-Stage Reasoning with Knowledge Fusion for Entity Translation
  This paper describes the machine translation system submitted to the SemEval-2025 Entity-Aware Machine Translation Task by the SheffieldGATE Team. We proposed a multi-agent entity-aware machine translation system that operates through three distinct reasoning …
  datacite Association for Computational Linguistics 2025, Bontcheva, Kalina, Song, Xingyi, Yang, Xinye 2025 置信度 0.66 Computational LinguisticsArtificial IntelligenceSemantic EvaluationNatural Language Processing
• G-MACT at SemEval-2025 Task 8: Exploring Planning and Tool Use in Question Answering over Tabular Data
  This work describes our system submitted to SemEval-2025 Task 8 “Question Answering over Tabular Data.” The shared task focuses on tackling real-life table question answering (TQA) involving extremely large tables with the additional challenges of interpreting…
  datacite Association for Computational Linguistics 2025, Zhou, Wei 2025 置信度 0.66 Computational LinguisticsArtificial IntelligenceSemantic EvaluationNatural Language Processing
• Multi-Agent Multi-Target Search with Multi-Head Attention
  In swarm drone applications, the multi-target self-organizing search (SOS) problem in unknown environments has demonstrated significant potential. In this problem, agents must collaborate to search for multiple dynamic targets, while only observing their immed…
  crossref Huiqin Pei, Zilong Luo 2025-08-05T18:00:15Z 置信度 0.70
• CommitMessageGen-Agent: A Dependable Multi-Agent Approach for Reproducible Commit Message Generation
  crossref Dokyeong An, Geunseok Yang 2025-12-05T22:37:02Z 置信度 0.70
• A Hybrid Floyd Algorithm for Multi-Agent System in Warehouse
  The Floyd-Warshall algorithm, traditionally used for finding all-pairs shortest paths, faces challenges in large-scale warehouse settings due to its high time complexity. This paper proposed a hybrid improved Floyd-Warshall algorithm integrated with a path tim…
  crossref Luyue Zhang, Min Fang, Kezhen Yang, Yutian Yang 2025-06-09T17:33:00Z 置信度 0.70
• A multi-agent system simulation framework with optimized spatial neighborhood search
  BioMASS is an innovative multi-agent spatial model designed to enhance computational efficiency in simulations involving complex sensory and locomotion functions. Traditional agent-based modeling (ABM) platforms suffer from performance degradation as the numbe…
  crossref Candelaria E. Sansores, Joel A. Trejo-Sánchez, Mirbella Gallareta Negrón 2024-12-18T16:47:01Z 置信度 0.70
• Enhanced Robust Consensus Control for Uncertain T-S Fuzzy Multi-Agent System
  This paper investigates the consensus control problem for uncertain Takagi-Sugeno (TS) fuzzy multi-agent systems (MAS) using Fuzzy Lyapunov Functions. The T-S fuzzy modeling approach is used to represent the uncertain non-linear agents making possible the desi…
  crossref Aïoub Cherigui, Meriem Nachidi-Labourel, Mohammed Chadli 2025-12-15T18:36:56Z 置信度 0.70
• Design and Testing of ROS Robot Path Planning Control System Based on Multi-Agent Collaboration Mechanism
  crossref Yishuo Zhang 2026-06-04T19:53:14Z 置信度 0.70
• Intelligent Traffic Management System using Multi-Agent Reinforcement Learning
  This paper presents a decentralized multi-agent system for intelligent traffic management in urban environments, where each agent represents a traffic light controller at an intersection. The proposed system leverages a combination of Distributed W-Learning an…
  crossref Dalaali Shaheen, Getzi Jeba Leelipushpam Paulraj, Immanuel Johnraja Jebadurai, Stewart Kirubakaran 2025-04-03T00:05:30Z 置信度 0.70
• Protection of Distribution Systems with Solar PV using Multi Agent System with Hilbert Huang Transform
  This paper presents a fault detection and classification technique based on a decentralized Multi-Agent System (MAS), followed by Hilbert-Huang Transform (HHT) analysis of post-fault currents of a distribution network connected with solar PV. Local current sig…
  crossref Paheli Talukder, Abdul Gafoor Shaik 2026-03-04T20:47:39Z 置信度 0.70
• StockMARL: A Novel Multi-Agent Reinforcement Learning System to Dynamically Improve Trading Strategies
  Contemporary financial markets, shaped by geopolitical tensions, technological innovation, and economic shocks, require adaptive trading strategies. We propose a novel framework that integrates multi-agent simulation with Reinforcement Learning (RL), allowing …
  crossref Peiyan Zou, Peer-Olaf Siebers 2025-12-26T12:20:46Z 置信度 0.70
• CodeSync: Multi-Agent System for Programming Assistance and Deterministic Thinking
  Large language models (LLMs) have transformed programming and software development, but their non-deterministic nature poses challenges to reproducible program synthesis. This paper proposes a multi-agent system, CodeSync, designed to align LLMs with human-lik…
  crossref Bala Guhanesh, Maheswari S, Arunkumar Sivaraman, Sasikumar P 2026-02-25T20:54:08Z 置信度 0.70
• English Collaborative Translation Task Allocation and Optimization Based on Deep Learning and Multi-Agent System
  With the growing demand for cross-language communication, traditional machine translation methods have problems such as unstable translation quality and low task scheduling efficiency in dealing with complex contexts, task collaboration and real-time response.…
  crossref Yinghua Lin 2025-11-05T18:37:16Z 置信度 0.70
• Reliability-oriented Telecommunication Network Routing Using Multi-agent Q-Learning
  The uninterrupted operation of telecommunication networks is critical to modern society, yet network components are prone to failures that can significantly disrupt services. Traditional routing protocols often respond reactively to such failures. This paper p…
  crossref Longyan Tan, Aitichya Chandra, Luning Li, Ajith Kumar Parlikad 2026-03-11T19:36:03Z 置信度 0.70
• SOC Balancing Control Based on Multi-Agent for Multiple Energy Storage Units in MMC High Power Energy Storage System
  Since high power energy transmission is required for a grid-level energy storage system, a high-power energy storage system based on modular multilevel converter (MMC) is very promising at present. However, in order to produce desired high power, an MMC-based …
  crossref 2025-06-16T07:24:52Z 置信度 0.70
• Trajectory Planning of Heterogeneous Multi-Agent System Based on Soft Actor-Critic Algorithm
  Recently, heterogeneous multi-agent system collaboration has demonstrated significant potential for cross-domain applications. The key to the proper operation of the system lies in the ability to accurately reach the designated mission location. This paper imp…
  crossref Zhu Hang, Maria S. Selezneva, Zhai Yiming 2025-09-30T17:37:01Z 置信度 0.70
• Exploring Communication in Multi-Agent Reinforcement Learning Under Agent Malfunction
  crossref Rafael Pina, Varuna De Silva 2025-02-28T12:43:00Z 置信度 0.70
• Self-Organizing Multi-Agent Collaborative Decision-Making System
  In the context of smart agriculture, the use of self-organizing computing systems becomes essential for optimizing monitoring and control processes. This study proposes a decision-making system based on a multi-agent architecture, capable of collecting, analyz…
  crossref Silvia Munteanu, Viorica Sudacevschi, Victor Ababii, Viorel Cărbune 等 2025-12-03T18:38:35Z 置信度 0.70
• SpecMAS: A Multi-Agent System for Self-Verifying System Generation via Formal Model Checking
  crossref Rishabh Agrawal, Kaushik Ranade, Aja Khanal, Kalyan Basu 等 2026-08-06T14:44:29Z 置信度 0.70
• MCP-Orchestrated Multi-Agent System for Automated Disinformation Detection
  The large spread of disinformation across digital platforms creates significant challenges to information integrity. This paper presents a multi-agent system that uses relation extraction to detect disinformation in news articles, focusing on titles and short …
  crossref Alexandru-Andrei Avram, Alexandru Lecu, Adrian Groza 2026-04-21T19:47:14Z 置信度 0.70
• Multi-agent system for optimized energy management in multi-smart buildings via deregulated market system
  A key focus in smart grid research, especially within emerging distribution frameworks, is the effective management of energy resources. The proposed approach employs a multi-agent system to manage energy resources in interconnected smart buildings . The goal …
  crossref Abdul Haseeb Sajid, Muhammad Zubair Iftikhar, Syed Ali Abbas Kazmi, Zafar A. Khan 等 2025-06-21T02:54:46Z 置信度 0.70
• Multi-Agent System Based on Bi-Level FBS Self-Closed-Loop Co-Evolution Framework
  Abstract Multi-agent systems must operate in increasingly dynamic environments, where sudden changes such as the appearance of moving or unforeseen obstacles pose major challenges to the system’s adaptability. In this paper, we propose a bi-level Function-Beha…
  crossref Jinhui Cao, Zhenjun Ming, Janet K. Allen, Farrokh Mistree 2025-10-27T21:32:12Z 置信度 0.70
• A Comprehensive Health Management System for Personalized Patient Care and Medication Tracking
  In modern healthcare, adherence to prescribed treatments and regular follow-ups is essential for optimal outcomes, yet it often falters due to lifestyle constraints and forgetfulness. This paper introduces a health management application that empowers patients…
  crossref Chandu Siddartha Reddy Gooty, Akanksha Kanchireddy 2025-02-27T18:43:07Z 置信度 0.70
• Optimization of task processing in a multi-agent intelligent system
  The functional components of a multi-agent intelligent system have different physical or logical structures and provide processing of task flows with different intensities. From the point of view of the effectiveness of the tasks set, obtaining a consolidated …
  crossref A. V. Gulaj, V. M. Zajcev 2025-08-20T10:46:21Z 置信度 0.70
• To Assign or Not to Assign: A Metareasoning Framework for Efficient Sub-Game Computation in Multi-Agent Pursuit-Evasion Games
  Pursuit-evasion games can model strategic interactions between teams with conflicting objectives. Solving these problems is difficult due to the curse of dimensionality. One way to overcome this is by dividing the game into sub-games and solving them individua…
  crossref Prannoy Namala, Jeffrey W. Herrmann 2026-01-28T20:57:50Z 置信度 0.70
• A Multi-Agent Monitoring System for Computer Networks
  crossref Amwayi Harrison, Abraham Mutua 2025-04-23T11:08:47Z 置信度 0.70
• Advancing AIoMT-Enabled Healthcare System-of-Systems Using Multi-Agent Reinforcement Learning
  This paper presents a Multi-Agent Reinforcement Learning (MARL) framework designed to optimize coordination within a System-of-Systems (SoS) composed of six heterogeneous healthcare entities: hospitals, clinics, telemedicine platforms, wearable monitoring devi…
  crossref Arifuzzaman Sheikh, Edwin K. P. Chong 2025-08-08T18:41:05Z 置信度 0.70
• A Dedicated Q&A System for University Libraries Based on Multi-agent Collaboration
  Aiming at the core issues existing in the implementation of large language models (LLMs) in the scenarios of university library business Q&A and librarian training, namely "defining the working boundary", "the problem of output hallucination", "computation…
  crossref Linjun Xiao, Yuting Qing 2026-01-21T06:01:37Z 置信度 0.70
• DrugAgent: A Theory-Driven LLM Multi-Agent System for Automating Machine Learning Programming in Drug Discovery
  crossref Jiate Li, Sizhe Liu, Xiyang Hu, Jieyu Zhao 等 2025-11-19T11:44:27Z 置信度 0.70
• Goal-Oriented Multi-Modal Motion Prediction for Multi-Agent Systems
  crossref Anegi James, Efstathios Bakolas 2025-02-12T09:44:16Z 置信度 0.70
• Copyright
  crossref 2025-01-31T19:25:20Z 置信度 0.70
• Model-Based Multi-Agent Reinforcement Learning for Joint Port and Precoding Optimization in Multi-Cell Fluid Antenna System
  Fluid antenna is regarded as one of the most promising technology for next-generation wireless communication system due to its ultimate flexibility. Previous works have extensively studied fluid antenna multiple access (FAMA) in single-cell scenarios. However,…
  crossref Guo Li, Chao Wang, Haibin Zhang 2025-09-30T17:36:40Z 置信度 0.70
• P2P Trading of Multi-VPPs with Integrated PV Energy Storage Systems Based on Multi-Agent Rollout
  Integrated PV energy storage system(IPESS) is one of the compact and integrated energy control systems. Energy storage can be combined with other renewable energy sources to achieve multi-energy complementarityac when integrated into the virtual power plant(VP…
  crossref Haoxiang Zou, Min Wang, Yong Qiu, Shu Zheng 等 2025-09-09T17:29:36Z 置信度 0.70
• Resilient formation control in multi-agent systems considering leader failure
  This research investigates how to control multi-agent systems to maintain formation even when any agent, including the leader fails. We introduce cooperative control approach to solve the formation problem, ensuring that agents can maintain their relative geom…
  crossref Takuya Murakami, Toru Namerikawa 2025-06-18T11:31:32Z 置信度 0.70
• Multi-Agent Spacecraft Docking with Reinforcement Learning
  This research explores the application of Multi-Agent Reinforcement Learning (MARL) to a cooperative spacecraft docking problem with three chaser spacecraft and a lightly tumbling target. The study extends Proximal Policy Optimisation (PPO) based single-agent …
  crossref Selim Olgu Pilav 2025-11-28T00:35:41Z 置信度 0.70
• Design and Implementation of a Multi-Agent Teaching System for Local Universities
  Many local universities still face challenges in developing intelligent teaching and management systems, where information is often fragmented and automation remains limited. To address this issue, this paper designs and implements a multiagent teaching system…
  crossref Nian Yang, Qin Xiang, Shuhang Chen, Zhan Tang 2026-02-24T20:54:16Z 置信度 0.70
• Disturbance Observer-Based Sliding Mode Control for Multi-agent Systems with Mismatched Uncertainties
  crossref Qing Wang, Bin Xin, Jie Chen 2025-03-03T12:15:44Z 置信度 0.70
• ApexCodium: a Multi-Agent System for Code Generation with Enhanced Self-Reflection
  LLMs demonstrate a remarkable performance on natural language tasks, but they are relatively less accurate when it comes to code generation. This gap stems from the inherent complexity of coding, which demands precise logical reasoning, meticulous attention to…
  crossref Mihir S Arya, Aditya Ranjan, Ananmay A Lohia 2025-10-30T17:57:59Z 置信度 0.70
• Enhanced Power Inspection System Utilizing Metaverse Technology
  crossref Ying Yao, Gang Liu 2025-02-27T18:43:07Z 置信度 0.70
• Adaptive Event-Triggered Consensus for Unknown Nonlinear Multi-Agent Systems with Limited Bandwidth
  This paper proposes an adaptive event-triggered consensus control framework for multi-agent systems (MASs) with unknown nonlinear dynamics and limited communication bandwidth. First, an observer-based radial basis function neural networks (RBFNNs) compensator …
  crossref Ying Quan, Haoping Wang, Yang Tian 2025-09-09T17:29:36Z 置信度 0.70
• A Deep Learning Based Posture Correction System
  A computerized system developed using machine learning to monitor correct posture for an exercise being performed. The posture for exercise is important for the physical benefit of it. The system for detecting exercise is implemented with a combination of a Co…
  crossref Shripad Bhatlawande, Swati Shilaskar, Mantesh Mhetre, Sandesh Moralwar 等 2025-02-27T13:43:07Z 置信度 0.70
• Performance Analysis of OFDMA System with Optimized Resource Allocation
  The performance of a multi-user Orthogonal Frequency Division Multiplexing (OFDM) system utilizing water-filling power allocation and error correction. The analysis assesses key metrics such as Bit Error Rate (BER), sum capacity, power consumption, and through…
  crossref M Selvi, Sherya L K, Srinivasan E V, Devasrimathi E 2025-02-27T18:43:07Z 置信度 0.70
• Semantic Communications for Partially Observable Multi-Agent Reinforcement Learning-Based Unmanned Aerial Vehicles Monitoring System
  In multi-agent reinforcement learning (MARL) environments with partial observability, agents lack access to a global state, limiting their decision-making capabilities. To address this, agents can share local observations via inter-agent communications; howeve…
  crossref Tiange Xiang, Seungwoo Seo, Sungwon Yi, Minseok Choi 2025-09-26T17:34:55Z 置信度 0.70
• A Distributed Task Offloading Strategy Based on Multi-Agent Systems in Mobile Edge Computing
  With the rapid development of smart applications and mobile communication technologies, mobile edge computing (MEC) has made significant progress. However, the increase in the number of terminal devices and the growing complexity of service scenarios pose new …
  crossref Juan Fang, Yaqi Liu, Dezheng Qu 2025-07-14T17:40:15Z 置信度 0.70
• Dynamic Maximum Consensus of Multi-Agent Systems with Unknown but Bounded Measurement Errors
  In this paper, the dynamic maximum consensus problem of multi-agent systems with unknown but bounded measurement errors is studied. A local interaction protocol is proposed. In this problem, each agent is input an external reference signal, and its goal is to …
  crossref Yufei Yuan, Yuyao Tao, Cheng Song 2025-09-09T17:29:36Z 置信度 0.70
• Bridging the Prototype-Production Gap: A Multi-Agent System for Notebooks Transformation
  The increasing adoption of Jupyter notebooks in data science and machine learning workflows has created a gap between exploratory code development and production-ready software systems. While notebooks excel at iterative development and visualization, they oft…
  crossref Hanya Elhashemy, Youssef Lotfy, Yongjian Tang 2026-01-19T20:52:58Z 置信度 0.70
• Multi-agent reinforcement learning approach for large cooling water system control
  Aim and ApproachLarge cooling water system has great potential of energy saving due to improper operation control. The coupled hydraulic and thermodynamic characteristics among chillers, pumps, and cooling towers lead to the difficulty of cooling water system …
  crossref Xiao Wang, Xuyuan Kang, Da Yan 2025-11-26T17:57:13Z 置信度 0.70
• Distributed control strategy of central heating system based on multi-agent consensus
  crossref Gang Su, Yongheng Peng, Wanxiang Yao, Shuangyang Zhang 2024-12-09T19:28:58Z 置信度 0.70
• MATRICS: A Multi-Agent Deep Reinforcement Learning-Based Traffic-Aware Intelligent Lane-Change System
  We present MATRICS, a traffic-aware multi-agent reinforcement learning (MARL)-based intelligent lane-change system designed for autonomous vehicles (AVs). While existing research primarily focuses on enhancing the local impact of the ego vehicle’s lane-change …
  crossref Lokesh Chandra Das, Myounggyu Won 2025-11-27T18:54:45Z 置信度 0.70
• Multi-Agent System for Solving the Vehicle Routing Problem: A Hybrid Metaheuristic Approach
  This paper introduces a novel Multi-Agent System (MAS) designed to solve the Vehicle Routing Problem (VRP), a well-known optimization challenge in logistics. The proposed MAS integrates seven established metaheuristics—Genetic Algorithm (GA), Particle Swarm Op…
  crossref Manal El Jaouhari, Ghita Bencheikh, Ghizlane Bencheikh 2025-11-06T18:48:49Z 置信度 0.70
• Flood Watch: A Multi-Agent System for Smarter Disaster Response
  Timely and coordinated flood response is often hindered by fragmented data and delayed situational awareness. This paper presents a multi-agent system (MAS) that integrates geolocated social media posts and IoT sensor data to enable dynamic and high-confidence…
  crossref Gaurav Avula, Srikanth Thudumu, Hung Du, Nageswara Rao Pedasingu 等 2025-10-07T17:34:49Z 置信度 0.70
• Predefined-Time Time-Varying Formation Control for Second-Order Multi-Agent System with Multiple Leaders
  In this paper, the problem of predefined-time time-varying formation(PTTVF) control of second-order multi-agent systems(MASs) with multiple leaders(MLs) is investigated. The states of followers form a PTTVF that simultaneously tracks convex combinations of the…
  crossref Zijing Li, Shuang Shi 2026-01-28T20:57:45Z 置信度 0.70
• IFS: Information Flow Structure for Multi-agent Ad Hoc System
  Multi-agent ad hoc systems are dynamic collaborative systems in which multiple autonomous agents must cooperate with both known and unknown teammates in open environments, without relying on pre-coordinated strategies. These systems operate under conditions of…
  crossref Yanqing Fu, Chenrun Wang, Chao Huang, Zhuping Wang 2026-02-23T20:44:03Z 置信度 0.70
• Retrieval-Augmented Multi-Agent System for Rapid Statement of Work Generation
  Drafting a Statement of Work (SOW) is a vital part of business and legal projects. It outlines key details like deliverables, timelines, responsibilities, and legal terms. However, creating these documents is often a slow and complex process. It usually involv…
  crossref Amulya Suravarjhula, Rashi Chandrashekhar Agrawal, Sakshi Jayesh Patel, Rahul Gupta 2026-04-07T19:54:58Z 置信度 0.70
• Comprehensive Survey on TransplantMatch Agent: A Multi-Agent ML System for Kidney and Liver Transplant Compatibility Prediction
  Organ transplantation is a important treatment choice for patients with end-stage kidney and liver failure. However, powerful donor-recipient matching and long-term transplant success continue to be hard due to the complexity of immunological and clinical fact…
  crossref Deepak NA, N. Harshitha Reddy, Revanth Reddy, Sahana P Jain 等 2025-12-01T18:23:00Z 置信度 0.70
• A Hierarchical Retrieval-Augmented Multi-Agent System for Robust Financial Analysis and Decision Support
  Financial analysis requires processing vast amounts of unstructured data with high precision and temporal consistency. Existing Large Language Models struggle with domain-specific hallucinations and lack the ability to model evolving market dynamics accurately…
  crossref Ningjiang Huang 2026-05-15T08:55:49Z 置信度 0.70
• Distributed Course Allocation with Asymmetric Friendships
  Abstract Students’ decisions on whether to take a class are strongly affected by whether their friends plan to take the class with them. A student may prefer to be assigned to a course they like less, just to be with their friends, rather than taking a more pr…
  crossref Lihi Dery, Tal Grinshpoun, Ilya Khakhiashvili 2025-05-15T08:37:06Z 置信度 0.70
• On fair and efficient solutions for budget apportionment
  crossref Pierre Cardi, Laurent Gourvès, Julien Lesca 2025-03-20T04:40:08Z 置信度 0.70
• The Cost and Complexity of Minimizing Envy in House Allocation
  We study almost envy-freeness in house allocation, where m houses are to be allocated among n agents so that every agent receives exactly one house. An envy-free allocation need not exist, and therefore we may have to settle for relaxations. We study different…
  crossref Jayakrishnan Madathil, Neeldhara Misra, Aditi Sethia 2025-06-11T05:18:59Z 置信度 0.70
• PANGAEA GPT: A Coordinated Multi-Agent Architecture for Earth System Data Discovery and Analysis
  PANGAEA GPT is a Large Language Model (LLM) multi-agent framework that aims to streamline the work of geoscientists with the diverse Earth system datasets held in the PANGAEA archive (pangaea.de), a widely used data repository in Earth and Environmental Scienc…
  crossref Dmitrii Pantiukhin, Boris Shapkin, Ivan Kuznetsov, Antonia Anna Jost 等 2025-03-15T01:45:01Z 置信度 0.70
• Distributed Proximal-Gradient Algorithms for Nonsmooth Convex Optimization of Second-Order Multi-agent Systems
  crossref Qing Wang, Bin Xin, Jie Chen 2025-03-02T04:07:53Z 置信度 0.70
• Multi-Agent Collaborative Framework for Intelligent IT Operations: An AOI System with Context-Aware Compression and Dynamic Task Scheduling
  crossref Zishan Bai, Enze Ge, Yichao Zhang, Zhimo Han 2025-12-26T21:23:38Z 置信度 0.70
• Multi-agent reinforcement learning-based resilience reconfiguration approach of supply chain system-of-systems under disruption risks
  crossref Wei Ding, Wei Ding, Guoxin Wang, Yan Yan 等 2025-10-15T16:40:32Z 置信度 0.70
• Stabilizability of multi-agent systems over finite fields via fully actuated system approaches
  The problem of stabilizability of high-order fully actuated (HOFA) multi-agent systems over finite fields is considered in this paper.The necessary and sufficient conditions for the stabilizability of HOFA multi-agent systems are presented, which indicates the…
  crossref Yunsi Yang, Jun-e Feng, Lei Jia 2025-05-31T17:31:48Z 置信度 0.70
• A DYNAMIC MULTI-AGENT SYSTEM FOR COVERAGE-BASED TESTBENCH SYNTHESIS IN SYSTEMVERILOG
  This work introduces a dynamic multi-agent framework for automated testbench generation in hardware verification, leveraging large language models (LLMs), cocotb, and Verilator. The system decomposes verification into specialized agent roles, including specifi…
  crossref Veljko Lončarević, Mihailo Knežević, Olga Ristić, Vanja Luković 等 2026-02-04T06:14:05Z 置信度 0.70
• Designing MR Exams Using an Autonomous Multi-Agent Large Language Model System
  Motivation: There is a global shortage of radiology staff which can lead to workforce burnout, increased backlogs and healthcare costs. AI-based workflow automation can help mitigate some of these effects. Goal(s): To develop an autonomous large language model…
  crossref Anuj Sharma, William Grissom, Mark Griswold 2025-09-16T16:18:36Z 置信度 0.70
• Adaptive Management of Multi-Agent Intelligent System: Algorithmic Aspect
  In the process of constructing a multi-agent intelligent system, the stages of structural and functional decomposition of the system and the determination of its tasks, the allocation or formation of the necessary groups of agents, implementation of system adm…
  crossref A. V. Gulay, V. M. Zaitsev 2025-07-08T07:05:06Z 置信度 0.70
• Finite-time resilient distributed convex optimization for multi-agent systems under FDI attacks
  crossref Zhi Feng, Xiwang Dong, Guoqiang Hu, Jinhu Lyu 2025-01-31T19:25:37Z 置信度 0.70
• Bibliography
  crossref 2025-01-31T19:25:47Z 置信度 0.70
• Multi-Agent Systems and Generative Agent-Based Models in Accounting and Auditing
  crossref Hamid Vakilzadeh, Marc Eulerich, Aida Sanatizadeh 2025-02-04T10:40:59Z 置信度 0.70
• Multi-Agent Multi-Armed Bandit with Fully Heavy-Tailed Dynamics
  crossref Xingyu Wang, Mengfan Xu 2026-01-22T20:58:15Z 置信度 0.70
• Containment Control of Quadrotors in Multi-Agent System Framework Under Communication Faults
  This paper investigates containment control of quadrotors in a multi-agent framework subject to communication link faults. The nonlinear quadrotor dynamics are modeled to capture translational and rotational motion. Communication link faults are considered ran…
  crossref Rajesh Nallagatla, Tarang Srivas, Suneel Kumar, Padmini Singh 2026-02-03T20:52:03Z 置信度 0.70
• Index
  crossref 2025-01-31T19:25:45Z 置信度 0.70
• Hierarchical Multi-Agent System with Bayesian Neural Networks for Portfolio Optimization
  crossref Firdaous Khemlichi, Youness Idrissi Khamlichi, Safae Elhaj Ben Ali 2025-05-08T11:06:44Z 置信度 0.70
• Decentralized Smart EV Charging with Multi-Agent System Communication and Energy Coordination
  This paper presents a decentralized smart electric vehicle (EV) charging framework that integrates Raspberry Pi and Arduino-based controllers with multi-agent coordination for efficient and scalable operation. The system leverages IoT-enabled edge computing to…
  crossref Priyansh Dwivedi, Himanshu Tiwari, Pradhyumna Yadav, Murari Kumar 等 2026-02-03T20:53:14Z 置信度 0.70
• QMIX-based Multi-agent Reinforcement Learning System for Collaborative Optimization of Course Content and Teaching Strategy in Ideological Courses
  crossref Lanlan Ruan 2026-08-13T19:18:21Z 置信度 0.70
• Information gathering in POMDPs using active inference
  crossref Erwin Walraven, Joris Sijs, Gertjan J. Burghouts 2024-11-07T09:03:00Z 置信度 0.70
• Event-triggered affine formation of second-order multi-agent systems via complex-valued Laplacian.
  This paper investigates event-triggered affine formation control of second-order multi-agent systems with directed communication graph. An approach based on complex-valued Laplacian is used as a means of avoiding the use of global information. Two event-trigge…
  pubmed Zhu W, Liang Y, Pei C 2025 Feb 置信度 0.82
• SciAgents: Automating Scientific Discovery Through Bioinspired Multi-Agent Intelligent Graph Reasoning.
  A key challenge in artificial intelligence (AI) is the creation of systems capable of autonomously advancing scientific understanding by exploring novel domains, identifying complex patterns, and uncovering previously unseen connections in vast scientific data…
  pubmed Ghafarollahi A, Buehler MJ 2025 Jun 置信度 0.82
• A fully value distributional deep reinforcement learning framework for multi-agent cooperation.
  Distributional Reinforcement Learning (RL) extends beyond estimating the expected value of future returns by modeling its entire distribution, offering greater expressiveness and capturing deeper insights of the value function. To leverage this advantage, dist…
  pubmed Fu M, Huang L, Li F, Qu H 等 2025 Apr 置信度 0.82
• ProtChat: An AI Multi-Agent for Automated Protein Analysis Leveraging GPT-4 and Protein Language Model.
  Large language models (LLMs) have transformed natural language processing, enabling advanced human-machine communication. Similarly, in computational biology, protein sequences are interpreted as natural language, facilitating the creation of protein large lan…
  pubmed Huang H, Shi X, Lei H, Hu F 等 2025 Jan 13 置信度 0.82
• Multiagent DDOS attack detection model: Optimal trained hybrid classifier and entropy-based mitigation process.
  This study proposes a novel multi-agent system designed to detect Distributed Denial of Service (DDoS) attacks, addressing the increasing need for robust cybersecurity measures. The hypothesis posits that a structured multi-agent approach can enhance detection…
  pubmed Palusamy T, Chelliah B 2025 Nov 置信度 0.82
• Single-cell data-driven design of armed oncolytic virus to boost cooperative innate-adaptive immunity against cancer.
  Oncolytic viruses have been considered promising cancer immunotherapies. However, oncovirotherapy agents impart durable responses in only a subset of cancer patients. Thus, exploring the cellular and molecular mechanisms underlying the heterogeneous responses …
  pubmed Zhao J, Wang H, Wang C, Li F 等 2025 Feb 5 置信度 0.82
• Spatial barycentric coordinates based distributed formation control for multi-agent systems.
  Many applications of multi-agent systems have to execute some tasks in certain formations, while not all nodes have access to localization technologies such as GPS. This paper investigates the problem of formation control for multi-agent systems in three-dimen…
  pubmed Li F, Ning J, Liu H, Zhang Y 等 2025 Jan 置信度 0.82
• LMI approach of H(∞) consensus for multi-agent systems under Markov switching topology by dynamic output-feedback controller.
  This study investigates the H ∞ consensus problem for multi-agent systems under Markov switching topology by designing a dynamic output-feedback (DOF) controller. First, an invariant property is presented to address the Markov switching topology utilizi…
  pubmed Na HW, Park P 2025 Feb 置信度 0.82
• A flexible protocol of finite-time consensus for second-order multi-agent systems with pinning control.
  In this paper, we consider the finite-time consensus problem for second-order multi-agent systems with pinning control. Unlike the existing finite-time consensus algorithms for second-order multi-agent systems in which all agents' velocities and positions are …
  pubmed Zhang Z, Yin X, Hu S 2025 Feb 置信度 0.82
• Leptomeningeal metastatic disease: new frontiers and future directions.
  Leptomeningeal metastatic disease (LMD), encompassing entities of 'meningeal carcinomatosis', neoplastic meningitis' and 'leukaemic/lymphomatous meningitis', arises secondary to the metastatic dissemination of cancer cells from extracranial and certain intracr…
  pubmed Ozair A, Wilding H, Bhanja D, Mikolajewicz N 等 2025 Feb 置信度 0.82
• An adaptive neural network approach for resilient leader-following consensus control of multi-agent systems under cyber-attacks.
  This paper addresses the dynamic neural networks (DNNs) based resilient leader-following consensus control of multi-agent systems (MASs) under unidentified false data injection (FDI) attacks. We have examined generic linear leader-following agents in the conte…
  pubmed Mamoon M, Mustafa G, Iqbal N, Rehan M 等 2025 Feb 置信度 0.82
• Reinforcement learning-based optimal tracking control for uncertain multi-agent systems with uncertain topological networks.
  Recent decades, extensive applications exemplified in intelligent connected vehicles (ICVs) and unmanned aerial vehicles (UAVs) have emerged with the rapidly development of multi-agent systems (MASs). Inspired by these applications, the optimal tracking contro…
  pubmed You R, Liu Q 2025 Jan 置信度 0.82
• Memory-based consensus control for multi-agent systems with time-varying topology and communication constraints.
  This paper focuses on the design of event-triggered observer-based heterogeneous memory controllers for leader-following multi-agent systems with time-varying topology. In order to save limited on-board resources, a novel adaptive event-triggered strategy base…
  pubmed Liang T, Xiao Z, Wu Y, Tao J 等 2025 Jan 置信度 0.82
• Fully distributed time-varying formation tracking control for linear multi-agent systems with unknown external disturbances.
  This work investigates the time-varying formation tracking (TVFT) problem for linear multi-agent systems with a leader of unknown input in the presence of unknown external disturbances on directed graphs. Each agent is subjected to different external disturban…
  pubmed Dou L, Wang K, Wang J, Zhou J 2025 Jan 置信度 0.82
• Congress of Neurological Surgeons systematic review and evidence-based guidelines for the role of chemotherapy in newly diagnosed WHO Grade II diffuse glioma in adults: update.
  Questions and recommendations from the prior version of these guidelines without changeTarget populationAdult patients (older than 18 years of age) with newly diagnosed World Health Organization (WHO) Grade II gliomas (Oligodendroglioma, astrocytoma, mixe…
  pubmed Ziu M, Halasz LM, Kumthekar PU, McGranahan TM 等 2025 Jan 置信度 0.82
• Ability and knowledge: from epistemic transition systems to labelled stit models.
  It is possible to know that one can guarantee a certain result and yet not know how to guarantee it. In such cases one has the ability to guarantee something in a causal sense, but not in an epistemic sense. In this paper we focus on two formalisms used to mod…
  pubmed Kuncová A, Broersen J, Duijf H, Ramírez Abarca AI 2025 置信度 0.82
• Data-sampled time-varying formation for singular multi-agent systems with multiple leaders.
  The time-varying formation problem of singular multi-agent systems under sampled data with multiple leaders is investigated in this paper. Firstly, a data-sampled time-varying formation control protocol is proposed in the current study where the communication …
  pubmed Sun F, Yu X, Zhu W, Kurths J 2025 Jan 置信度 0.82
• Distributed leader-following bipartite consensus for one-sided Lipschitz multi-agent systems via dual-terminal event-triggered mechanism.
  This article analyses leader-following bipartite consensus for one-sided Lipschitz multi-agent systems by dual-terminal event-triggered output feedback control approach. A distributed observer is designed to estimate unknown system states by employing relative…
  pubmed Zhao Y, Sun H, Wang X, Yang D 等 2025 Jan 置信度 0.82