AI Agent 生态 · 全部实体（第 26 / 100 页）

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• Multi-Agent Collaborative Dynamic Stock Pool Investment System
  The application of deep reinforcement learning in quantitative investment is becoming increasingly widespread. However, existing systems based on single-agent approaches struggle to cope with the high-dimensional, dynamic, and multi-objective complexities of f…
  crossref Na Sun 2026-04-01T12:05:53Z 置信度 0.70
• Diversity-seeking jump games in networks
  Abstract Recently, strategic games inspired by Schelling’s influential model of residential segregation have been studied in the TCS and AI literature. In these games, agents of k different types occupy the nodes of a network topology aiming to maximize their …
  crossref Lata Narayanan, Yasaman Sabbagh, Alexandros A. Voudouris 2025-07-08T07:16:52Z 置信度 0.70
• Wireless Locking System through OTP
  The rapid advancement of technology has facilitated the development of secure and efficient access control systems. This paper presents a wireless locking system using OTP (One-Time Password) as a secure alternative to traditional locking mechanisms. The syste…
  crossref L Kavitha, Ashwitha K, Dharshana PK, Elakkiyaa M 2025-02-27T18:43:07Z 置信度 0.70
• Ego‐Vehicle State Estimation with Unknown Noise and Parameter Perturbations
  Chapter 3 investigates ego-vehicle state estimation under unknown noise disturbances, highlighting the fuzzy adaptive robust cubature Kalman filter and the hybrid physics- and data-driven estimation methods, along with their performance validation.
  crossref 2025-10-17T21:16:53Z 置信度 0.70
• Attitude synchronization and position consensus for a multi-agent autonomous system
  This paper presents a formulation for the simultaneous solution to the attitude and position control for a multiagent formation coordination, based on dual quaternion and graph theory techniques. The agents in the formation system are represented using dual qu…
  crossref Stephen Kimathi, Bertalan Beszédes, Abdallah Benhamida 2025-12-24T18:43:25Z 置信度 0.70
• Federated heterogeneous multi-agent deep reinforcement learning-based attack resilience scheduling for heterogeneous multi-integrated energy system
  The increasing scale of heterogeneous multi-integrated energy system (MIES) exposes critical limitations in conventional scheduling methods, particularly regarding privacy preservation, coordination of heterogeneous systems, and resilience against cyberattacks…
  crossref Hainan Qi, Wenjie Ma, Bingsong Zhao 2025-06-10T15:57:57Z 置信度 0.70
• QoS-Aware Multi-Agent Resource Scheduling for LEO Satellite System
  With the advancement of low earth orbit (LEO) satellite communications, direct-to-satellite technology has attracted widespread attention. Due to the constrained onboard resources of LEO satellite, an efficient resource allocation strategy is essential to meet…
  crossref Muchen Wang, Zhiyong Bu 2025-09-11T17:29:17Z 置信度 0.70
• Optimization of Coordinated Operation of Multi-Microgrid System Based on Multi-Agent Reinforcement Learning Method
  With the advancement of renewable energy and distributed power generation technology, microgrids, as a platform for efficient resource integration and management, play a key role in improving energy efficiency, reducing transmission losses and supporting grid …
  crossref Yatao Luo, Zihao Zhen, Fangzhou Wang 2025-05-29T17:06:12Z 置信度 0.70
• COMPASS: Cooperative Multi-Agent Persistent Monitoring Using Spatio-Temporal Attention Network
  Persistent monitoring of dynamic targets is essential in real-world applications such as disaster response, environmental sensing, and wildlife conservation, where mobile agents must continuously gather information under uncertainty. We propose COMPASS, a mult…
  crossref Xingjian Zhang, Yizhuo Wang, Guillaume Sartoretti 2026-01-28T20:57:50Z 置信度 0.70
• Bounded Sub-Optimal Algorithms for Teamwise Cooperative Multi-Agent Path Finding
  Multi-Agent Teamwise Cooperative Path Finding (TC-MAPF) seeks collision-free paths for the agents from their start to goal locations. In addition, agents are grouped into multiple teams, and each team has its own objective function to optimize. TC-MAPF arises …
  crossref Zhenlong Fang, Yilin Cai, Zhongqiang Ren 2026-01-28T20:57:50Z 置信度 0.70
• Distributed recommender system using multi-agent for social networks
  Social networks have become significant tools due to the vast and useful information existing in them. The social platforms also act as the storage of entered choices of millions of users for various applications such as political surveys, research studies, ma…
  crossref Lubaid Ahmed 2021-05-22T16:04:22Z 置信度 0.70
• <p>Controller Synthesis Method for Multi-Agent System Based on Temporal Logic Specification</p>
  crossref Ruohan Huang, Zining Cao 2025-09-18T17:50:56Z 置信度 0.70
• Toward Autonomous UAV Swarm Navigation: A Review of Trajectory Design Paradigms.
  The development of efficient and reliable trajectory-planning strategies for swarms of unmanned aerial vehicles (UAVs) is an increasingly important area of research, with applications in surveillance, search and rescue, smart agriculture, defence operations, a…
  pubmed Arshid K, Krayani A, Marcenaro L, Gomez DM 等 2025 Sep 19 置信度 0.82
• CIRS: A Multi-Agent Machine Learning Framework for Real-Time Accident Detection and Emergency Response.
  Road traffic accidents remain a leading cause of fatalities worldwide, and the consequences are considerably worsened by delayed detection and emergency response. Although several machine learning-based approaches have been proposed, accident detection systems…
  pubmed Ayesha S, Aslam A, Zaheer MH, Khan MB 2025 Sep 19 置信度 0.82
• Cognitive Agents in Urban Mobility: Integrating LLM Reasoning into Multi-Agent Simulations.
  Urban mobility systems face escalating challenges associated with sustainability, equity, and resilience, further compounded by environmental pressures. Traditional agent-based models (ABMs) often fail to capture cognitively rich, adaptive behaviors, limiting …
  pubmed Calderón C, Martí P, Jordán J, Palanca J 等 2025 Sep 12 置信度 0.82
• Research on Joint Game-Theoretic Modeling of Network Attack and Defense Under Incomplete Information.
  In the face of increasingly severe cybersecurity threats, incomplete information and environmental dynamics have become central challenges in network attack-defense scenarios. In real-world network environments, defenders often find it difficult to fully perce…
  pubmed Wang Y, Liu X, Yu X 2025 Aug 23 置信度 0.82
• Decentralized resource allocation in UAV communication networks through reward based multi agent learning.
  Unmanned aerial vehicles (UAVs) used as aerial base stations (ABS) can provide economical, on-demand wireless access. This research investigates dynamic resource allocation in multi-UAV-enabled communication systems with the aim of maximizing long-term rewards…
  pubmed Shoaib M, Husnain G, Khan M, Ghadi YY 等 2025 置信度 0.82
• An intelligent protection scheme for DC networks using a machine learning-based multi-agent platform.
  The integration of DC networks including DC microgrids (DCMGs) into power systems is rapidly increasing. This is notably attributed to the distinctive fault current characteristics arising from inverter-based distributed generation resources in DCMGs, which di…
  pubmed Esmaeilbeigi S, Kazemi Karegar H, Akbarisharif A 2025 Sep 26 置信度 0.82
• Experience-based integral reinforcement learning consensus for unknown multi-agent systems.
  This paper investigates an optimal consensus control problem and proposes a policy iteration algorithm based on online integral reinforcement learning for nonlinear multi-agent systems with unknown dynamics. Introducing a critic-actor neural network into the t…
  pubmed Ma L, Zhao H, Chen Y, Gao Y 等 2025 置信度 0.82
• Nonreciprocal field theory for decision-making in multi-agent control systems.
  Field theories for complex systems traditionally focus on collective behaviours emerging from simple, reciprocal pairwise interaction rules. However, many natural and artificial systems exhibit behaviours driven by microscopic decision-making processes that in…
  pubmed Lama A, di Bernardo M, Klapp SHL 2025 Sep 26 置信度 0.82
• Personal approach for cancer treatment: A meta-analysis of Phase II clinical trials.
  To date, no meta-analysis has studied the general outcomes of personalized cancer drug therapy with a focus on current targeted, immunotherapy, and multi-agent phase II clinical trials.
  pubmed Potievskiy MB, Zharova EP, Nekrasova LA, Garifullin AI 等 2025 置信度 0.82
• A Concept for Bio-Agentic Visual Communication: Bridging Swarm Intelligence with Biological Analogues.
  Biological swarms communicate through decentralized, adaptive behaviors shaped by local interactions, selective attention, and symbolic signaling. These principles of animal communication enable robust coordination without centralized control or persistent con…
  pubmed Starbuck B, Li H, Cochran B, Weissburg M 等 2025 Sep 9 置信度 0.82
• A retrospective analysis of inotuzumab ozogamicin usage in adult patients with relapsed/refractory B-cell acute lymphoblastic leukemia.
  The treatment of B-cell acute lymphoblastic leukemia (ALL) in India involves multi-agent chemotherapy and central nervous system (CNS) prophylaxis, but relapsed/refractory (R/R) B-cell ALL presents with high mortality and limited salvage options. Inotuzumab oz…
  pubmed Agrawal N, Boyella PK, Bhargava R, Nair CK 等 2025 置信度 0.82
• Hierarchical reinforcement learning-based traffic signal control.
  Efficient traffic light control is a critical issue in urban transportation systems. Recently, deep reinforcement learning (DRL) has gained popularity as a method for real-time traffic light control. However, state-of-the-art DRL-based systems typically constr…
  pubmed Shen J 2025 Sep 25 置信度 0.82
• Fixed-time leader-following speed consensus control for multi-PMSMs based on multi-agent systems consensus.
  Consensus control of multi-agent systems offers scalability and robustness in group tasks. To improve the performance of multiple permanent magnet synchronous motors (multi-PMSMs) speed coordination, in this paper, we propose a fixed-time leader-following spee…
  pubmed Li B, Chai H, Hou L 2025 置信度 0.82
• Luminescent Nanocucurbits Enable Spatiotemporal Co-Delivery of Hydrophilic and Hydrophobic Chemotherapeutic Agents.
  The generation of nanostructures with asymmetric morphologies has garnered significant attention in nanomedicine research, particularly since morphological characteristics have been shown to critically influence the biological functionality. Herein, the ration…
  pubmed Wei P, Ding Y, Liu S, Jiang J 等 2025 Dec 置信度 0.82
• Design of an iterative adaptive method for volatility-aware test case prioritization in rapidly evolving software systems.
  This work suggests an adaptive, deep reinforcement learning-driven framework having five integrated modules that address important facets of volatility-aware optimization to improve the effectiveness of Test Case Prioritization (TCP). To assign priority scores…
  pubmed Rao KS, Rao AA, Raju PR 2025 Dec 置信度 0.82
• Energy-Efficient Multi-Agent Deep Reinforcement Learning Task Offloading and Resource Allocation for UAV Edge Computing.
  The integration of Unmanned Aerial Vehicles (UAVs) into Mobile Edge Computing (MEC) systems has emerged as a transformative solution for latency-sensitive applications, leveraging UAVs' unique advantages in mobility, flexible deployment, and on-demand service …
  pubmed Xu S, Liu Q, Gong C, Wen X 2025 May 28 置信度 0.82
• Multi-Robot System for Cooperative Tidying Up with Mobile Manipulators and Transport Agents.
  This paper presents a system in which mobile manipulators and transport agents cooperate to solve a multi-agent pickup and delivery (MAPD) problem. The primary objective is to allocate appropriate tasks to heterogeneous robots by considering their capabilities…
  pubmed Yi JB, Nasrat S, Song D, Kim J 等 2025 May 22 置信度 0.82
• A general-purpose approach to multi-agent Bayesian optimization across decomposition methods.
  This paper proposes a general-purpose multi-agent Bayesian optimization (MABO) where agents are connected via shared variables or constraints, and each agent's local cost is unknown. The proposed approach is general-purpose in the sense that it can be used wit…
  pubmed Krishnamoorthy D 2025 置信度 0.82
• AI-Assisted Drug Re-Purposing for Human Liver Fibrosis.
  Liver fibrosis has few treatment options due to the poor quality of the available animal and in vitro models. To address this, a hypothesis generating multi-agent AI system (AI co-scientist) is used to assist in re-purposing drugs for treatment of liver fibros…
  pubmed Guan Y, Cui L, Inchai J, Fang Z 等 2025 Nov 置信度 0.82
• Leveraging large language models for automating water distribution network optimization.
  Effective management of Water Distribution Networks (WDNs) is essential to ensure efficient and reliable water supply in cities. However, many management tasks require complex system modelling and optimization approaches, which heavily rely on specialized doma…
  pubmed Wang J, Fu G, Savic D 2026 Jan 1 置信度 0.82
• Gradient-Based Time-Extended Potential Field Method for Real-Time Path Planning in Infrastructure-Based Cooperative Driving Systems.
  This study proposes a real-time path generation method called the Gradient-based Time-extended Potential Field (GT-PF) for cooperative autonomous driving environments. The proposed approach models the road environment and dynamic obstacles as a time-variant po…
  pubmed Ko J, Yang I 2025 Sep 8 置信度 0.82
• Cooperative Schemes for Joint Latency and Energy Consumption Minimization in UAV-MEC Networks.
  The Internet of Things (IoT) has promoted emerging applications that require massive device collaboration, heavy computation, and stringent latency. Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) systems can provide flexible services for us…
  pubmed Cheng M, He S, Pan Y, Lin M 等 2025 Aug 22 置信度 0.82
• Generative AI and Blockchain-Integrated Multi-Agent Framework for Resilient and Sustainable Fruit Cold-Chain Logistics.
  The cold-chain supply of perishable fruits continues to face challenges such as fuel wastage, fragmented stakeholder coordination, and limited real-time adaptability. Traditional solutions, based on static routing and centralized control, fall short in address…
  pubmed Khanna A, Jain S, Sah A, Dangi S 等 2025 Aug 27 置信度 0.82
• Data-driven security control for unknown nonlinear MASs with hybrid faults: A hierarchical control approach.
  In this paper, a novel hierarchical data-driven consensus control strategy is developed for unknown nonlinear multi-agent systems (MASs) subject to hybrid faults. Unlike conventional model-free adaptive control (MFAC) methods that rely on consensus errors, the…
  pubmed Zhao Y, Gong D, Chen J, Song S 等 2025 Dec 置信度 0.82
• DSPy-based neural-symbolic pipeline to enhance spatial reasoning in LLMs.
  Spatial reasoning is crucial for Large Language Models (LLMs) but remains a persistent challenge. Existing neural-symbolic approaches offer partial solutions but suffer from inflexible design and limited effectiveness. We present a neural-symbolic framework th…
  pubmed Wang R, Sun K 2026 Jan 置信度 0.82
• A robot scheduling method based on rMAPPO for H-beam riveting and welding work cell.
  The H-beam riveting and welding work cell is an automated unit used for processing H-beams. By coordinating the gripping and welding robots, the work cell achieves processes such as riveting and welding stiffener plates, transforming the H-beam into a stiffene…
  pubmed Zheng J, Zhou C, Gao Y, Chen Z 等 2025 置信度 0.82
• Agentic LLM-based robotic systems for real-world applications: a review on their agenticness and ethics.
  Agentic AI refers to autonomous systems that can perceive their environment, make decisions, and take actions to achieve goals with minimal or no human intervention. Recent advances in Large Language Models (LLMs) have opened new pathways to imbue robots with …
  pubmed Raptis EK, Kapoutsis AC, Kosmatopoulos EB 2025 置信度 0.82
• Bits of confidence: Metacognition as uncertainty reduction.
  How do people know when they are right? Confidence judgments - the ability to assess the correctness of one's own decisions - are a key aspect of human metacognition. This self-evaluative act plays a central role in learning, memory, consciousness, and group d…
  pubmed Fitousi D 2025 Dec 置信度 0.82
• Orchestrated multi agents sustain accuracy under clinical-scale workloads compared to a single agent.
  We tested state-of-the-art large language models (LLMs) in two configurations for clinical-scale workloads: a single agent handling heterogeneous tasks versus an orchestrated multi-agent system assigning each task to a dedicated worker. Across retrieval, extra…
  pubmed Klang E, Omar M, Raut G, Agbareia R 等 2025 置信度 0.82
• Enhancing the Resilience of ROS 2-Based Multi-Robot Systems with Kubernetes: A Case Study on UWB-Based Relative Positioning.
  ROS (Robot Operating System) has become the de facto standard in robotics research and development, with ROS 2, in particular, offering enhanced support for real-time communication, distributed systems, and scalable multi-robot applications. These capabilities…
  pubmed Zhang J, Yu X, Westerlund T 2025 置信度 0.82
• A Novel Distributed Hybrid Cognitive Strategy for Odor Source Location in Turbulent and Sparse Environment.
  Precise odor source localization in turbulent and sparse environments plays a vital role in enabling robotic systems for hazardous chemical monitoring and effective disaster response. To address this, we propose Cooperative Gravitational-Rényi Infotaxis (…
  pubmed Jia Y, Fan S, Cui W, Di C 等 2025 Aug 4 置信度 0.82
• Research on Computation Offloading and Resource Allocation Strategy Based on MADDPG for Integrated Space-Air-Marine Network.
  This paper investigates the problem of computation offloading and resource allocation in an integrated space-air-sea network based on unmanned aerial vehicle (UAV) and low Earth orbit (LEO) satellites supporting Maritime Internet of Things (M-IoT) devices. Con…
  pubmed Gao H 2025 Jul 28 置信度 0.82
• Proof of concept for voice based MRI scanner control using large language models in real time guided interventions.
  In clinical MRI-guided interventions, the lack of high-quality peripheral equipment and specialized interventional MRI systems often necessitates delegating real-time control of MRI scanners to an assistant. We proposed a voice-based interaction system powered…
  pubmed Chen H, Gutt M, Belker OA, Düx DM 等 2025 Aug 25 置信度 0.82
• CARE-AD: a multi-agent large language model framework for Alzheimer's disease prediction using longitudinal clinical notes.
  Large language models (LLMs) have shown promising capabilities across diverse domains, yet their application to complex clinical prediction tasks remains limited. In this study, we present CARE-AD (Collaborative Analysis and Risk Evaluation for Alzheimer's Dis…
  pubmed Li R, Wang X, Berlowitz D, Mez J 等 2025 Aug 24 置信度 0.82
• Asymptotic consensus of hybrid multi-agent systems considering network attacks.
  This paper focuses on the problem of active defense and achieving asymptotic consensus control in hybrid multi-agent systems under network attacks. Considering the influence of Byzantine nodes, on the basis of the theory of mimic defense, a deep dynamic hetero…
  pubmed Wang D, Zhang Y 2025 置信度 0.82
• Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning.
  In highly dynamic vehicular networking scenarios, when Vehicle-to-Infrastructure links and Vehicle-to-Vehicle links share spectrum resources, the traditional distributed resource allocation method lacks global optimization and fails to respond to environmental…
  pubmed Liu Q, Ma Y 2025 Aug 22 置信度 0.82
• Treatment patterns and survival outcomes for very elderly patients with acute myeloid leukemia: A National Cancer Database study.
  Patients 80 years and older with acute myeloid leukemia (AML) are often not candidates for curative-intent treatments, and there is no standard algorithm for leukemia-directed management in this population. There is limited information on their treatment outco…
  pubmed Zhang TY, Ge AY, Epstein MM, Patel SA 2025 Oct 置信度 0.82
• A scalable machine learning strategy for resource allocation in database.
  Modern cloud computing systems require intelligent resource allocation strategies that balance quality-of-service (QoS), operational costs, and energy sustainability. Existing deep Q-learning (DQN) methods suffer from sample inefficiency, centralization bottle…
  pubmed Manhary FN, Mohamed MH, Farouk M 2025 Aug 20 置信度 0.82
• Value Decomposition-Based Multi-Agent Learning for Anesthetics Collaborative Control.
  Automated control of personalized multiple anesthetics in clinical Total Intravenous Anesthesia (TIVA) is crucial yet challenging. Current systems, including target-controlled infusion (TCI) and closed-loop systems, either rely on relatively static pharmacokin…
  pubmed Li H, Yu Y, Shi S, Hu A 等 2026 Mar 置信度 0.82
• Estimation of accelerometers' bias in decentralized relative localization via the rotating UWB tag.
  This paper proposes a novel algorithm for cooperative relative localization of multiple aerial robots. The algorithm estimates acceleration biases and velocities alongside relative positions, leveraging relative range and inertial measurements. A group of quad…
  pubmed Alizad M, Nobahari H 2025 Dec 置信度 0.82
• Active RIS-Assisted Uplink NOMA with MADDPG for Remote State Estimation in Wireless Sensor Networks.
  Non-orthogonal multiple access (NOMA) and reconfigurable intelligent surfaces (RISs) are recognized as key technologies for beyond 5G and 6G wireless communications. To address the high computational complexity and non-convex optimization challenges, this lett…
  pubmed Li R, Xu L 2025 Aug 7 置信度 0.82
• Tracking Consensus for Nonlinear Multi-Agent Systems Under Asynchronous Switching and Undirected Topology.
  This paper investigates the tracking consensus of nonlinear multi-agent systems under undirected topology, considering asynchronous switching caused by delays between communication topology switching and controller switching. First, by using the properties of …
  pubmed Hu S, Wang M 2025 Aug 1 置信度 0.82
• Low-Latency Edge-Enabled Digital Twin System for Multi-Robot Collision Avoidance and Remote Control.
  This paper proposes a low-latency and scalable architecture for Edge-Enabled Digital Twin networked control systems (E-DTNCS) aimed at multi-robot collision avoidance and remote control in dynamic and latency-sensitive environments. Traditional approaches, whi…
  pubmed Mtowe DP, Long L, Kim DM 2025 Jul 28 置信度 0.82
• Fine-tuning large language models for interdisciplinary environmental challenges.
  Large language models (LLMs) are revolutionizing specialized fields by enabling advanced reasoning and data synthesis. Environmental science, however, poses unique hurdles due to its interdisciplinary scope, specialized jargon, and heterogeneous data from clim…
  pubmed Zhang Y, Lin S, Xiong Y, Li N 等 2025 Sep 置信度 0.82
• Market, power, gift, and concession economies: Comparison using four-mode primitive network models.
  Reducing wealth inequality is a global challenge, and the problems of capitalism stem from the enclosure of the commons and the breakdown of the community. According to previous studies by Polanyi, Karatani, and Graeber, economic modes can be divided into capi…
  pubmed Kato T, Miyakoshi J, Owa M, Mine R 2025 置信度 0.82
• Human adaptation to adaptive machines converges to game-theoretic equilibria.
  Here we test three learning algorithms for machines playing general-sum games with human subjects. The algorithms enable the machine to select the outcome of the co-adaptive interaction from a constellation of game-theoretic equilibria in action and policy spa…
  pubmed Chasnov BJ, Ratliff LJ, Burden SA 2025 Aug 11 置信度 0.82
• Recent advances in dissolving microneedle delivery systems for breast cancer therapy.
  Breast cancer, a malignancy characterized by high recurrence and mortality rates, faces critical bottlenecks in conventional therapies including systemic toxicity and insufficient drug concentration at lesion sites. Dissolving microneedles (DMNs) are micron-sc…
  pubmed Sun J, Zhao Y, Xu Z, Xu XL 等 2025 Nov 置信度 0.82
• A dilemma study of the traffic flow system emerged due to the lane-change by follower's tailgating effect.
  In this study, an artificial traffic system, which is generated on a computer by utilizing the computational technique, has been developed by establishing brilliant lane-changing criteria for the Cellular Automata (CA) traffic model to figure out adequate stra…
  pubmed Sueyoshi F, Hossain MA, Tanimoto J 2025 Aug 9 置信度 0.82
• Federated hierarchical MARL for zero-shot cyber defense.
  Cyber defense systems face increasingly sophisticated threats that rapidly evolve and exploit vulnerabilities in complex environments. Traditional approaches which often rely on centralized monitoring and static rule-based detection, struggle to adapt to new, …
  pubmed Alshamrani A 2025 置信度 0.82
• Optimizing Hospital On-Call Scheduling Across Multiple Sites: A Collaborative Metaheuristic Approach.
  Medical staff scheduling is a complex challenge with significant implications for patient care and staff well-being. This study presents an innovative approach that combines multiple optimization algorithms working collaboratively in a multi-agent system (MAS)…
  pubmed Ajmi F, Ben Othman S, Renard JM, Zgaya H 等 2025 Aug 7 置信度 0.82
• Exploring the construction of a youth mental health campus ecosystem integrating research-practice teaching.
  This study explores the construction of a youth mental health-promoting campus ecosystem based on integrated research-practice teaching. In response to the fragmentation of traditional mental health education in Chinese universities, the model incorporates eco…
  pubmed Gao T 2025 置信度 0.82
• Multiple Influences Maximization Under Dynamic Link Strength in Multi-Agent Systems: The Competitive and Cooperative Cases.
  This article addresses the issue of multiple influences maximization under dynamic link strength (MIMDLS) in multi-agent systems (MASs). Initially, a novel model for dynamic link strength within MASs is suggested to facilitate the simulation of multiple influe…
  pubmed Li M, Wang Z, Taylor SJE, Li K 等 2025 Oct 置信度 0.82
• Learning in public goods games: the effects of uncertainty and communication on cooperation.
  Communication is a widely used mechanism to promote cooperation in multi-agent systems. In the field of emergent communication, agents are typically trained in specific environments: cooperative, competitive or mixed-motive. Motivated by the idea that real-wor…
  pubmed Orzan N, Acar E, Grossi D, Rădulescu R 2025 置信度 0.82
• Secure set-membership formation of multi-agent systems via an anti-attack control strategy.
  Secure leader-following formation for multi-agent systems subject to parameter perturbations and saturation constraints is investigated in this article. To capture the variation of attack behaviors across different stages, a more general DoS attack model is de…
  pubmed Xiao Z, Tao J, Meng W, Shi P 2025 Nov 置信度 0.82
• Hybrid intelligence systems for reliable automation: advancing knowledge work and autonomous operations with scalable AI architectures.
  Mission-critical automation demands decision-making that is explainable, adaptive, and scalable-attributes elusive to purely symbolic or data-driven approaches. We introduce a hybrid intelligence (H-I) system that fuses symbolic reasoning with advanced machine…
  pubmed Grosvenor A, Zemlyansky A, Wahab A, Bohachov K 等 2025 置信度 0.82
• Neural correspondence to spectrum of environmental uncertainty in multiple-cue probability judgment system with time delay.
  Despite state-of-the-art technologies like artificial intelligence, human judgment is critically essential in cooperative systems, such as the multi-agent system (MAS), which collect information among agents based on multiple-cue judgment. Human agents can pre…
  pubmed Chang YS, Seong Y, Yi S 2025 置信度 0.82
• HPV DNA screening and vaccination strategies in Tunisia.
  In Tunisia, cervical cancer ranks as the 14th most common cancer, largely driven by high-risk of Human Papillomavirus (HPV) types, notably HPV 16 and 18. Current screening efforts are limited, with only 17% of all women aged 35-60 undergoing Pap-smear testing.…
  pubmed Lahdhiri A, Benzina B, Ennaifer E, Tounsi H 等 2025 Jul 31 置信度 0.82
• Closing the box.
  We were grateful for the level of engagement and insight from the commentaries on our discussion article, and for the opportunity to pick up on some of the common themes in what follows. Several commentaries focused upon the degeneracy in the relationship in h…
  pubmed Parr T, Pezzulo G, Friston K 2025 Jan-Oct 置信度 0.82
• Leveraging MDS2 and SBOM data for LLM-assisted vulnerability analysis of medical devices.
  This study investigated the use of a semi-automated, Retrieval-Augmented Generation (RAG)-based multi-agent architecture to analyze security-relevant data and assemble specialized exploitation paths targeting medical devices. The input dataset comprised device…
  pubmed Stein S, Pilgermann M, Weber S, Sedlmayr M 2025 置信度 0.82
• Improving energy autonomy of positive energy districts using multi-agent deep reinforcement learning.
  In recent years, Positive Energy Districts (PEDs) have emerged at the forefront of urban innovation, rapidly transforming communities by integrating shared Energy Storage Systems (ESS) and Electric Vehicles (EVs) to redefine the future of sustainable communiti…
  pubmed Hribar J, Mohorčič M, Čampa A 2025 Jul 30 置信度 0.82
• Accelerating primer design for amplicon sequencing using large language model-powered agents.
  The pre-trained knowledge compressed in large language models is addressing diverse scientific challenges and catalysing the progression of autonomous laboratory systems, synergized with liquid handling robots. Here we introduce PrimeGen, an orchestrated multi…
  pubmed Wang Y, Hou Y, Yang L, Li S 等 2026 Feb 置信度 0.82
• Autonomous Waste Classification Using Multi-Agent Systems and Blockchain: A Low-Cost Intelligent Approach.
  The increase in garbage generated in modern societies demands the implementation of a more sustainable model as well as new methods for efficient waste management. This article describes the development and implementation of a prototype of a smart bin that aut…
  pubmed González SG, García DC, Pérez RH, Sanchez AÁ 等 2025 Jul 12 置信度 0.82
• Multi-Robot Path Planning for High-Density Parking Environments Considering Efficiency and Fairness.
  As parking congestion at airport parking lots intensifies, high-density parking (HDP) systems with multiple parking robots are gaining attention for improving operational efficiency. However, conventional multi-agent pathfinding (MAPF) methods primarily focus …
  pubmed Lee J, Chung W 2025 Jul 11 置信度 0.82
• Communication-efficient decentralized clustering for dynamical multi-agent systems.
  The paper presents a decentralized, real-time clustering method designed for large-scale, distributed environments such as the Internet of Things (IoT). The approach combines compressed sensing for dimensionality reduction with a consensus protocol for distrib…
  pubmed Erofeeva V, Granichin O, Pankov V, Volkovich Z 2025 置信度 0.82
• MedScrubCrew: A Medical Multi-Agent Framework for Automating Appointment Scheduling Based on Patient-Provider Profile Resource Matching.
  Background: With advancements in Generative Artificial Intelligence, various industries have made substantial efforts to integrate this technology to enhance the efficiency and effectiveness of existing processes or identify potential weaknesses. Context, howe…
  pubmed Ruiz Mejia JM, Rawat DB 2025 Jul 8 置信度 0.82
• Decentralized Consensus Protocols on SO(4)(N) and TSO(4)(N) with Reshaping.
  Consensus protocols for a multi-agent networked system consist of strategies that align the states of all agents that share information according to a given network topology, despite challenges such as communication limitations, time-varying networks, and comm…
  pubmed Butcher EA, Spaeth V 2025 Jul 11 置信度 0.82
• Network Analysis on the Symmetric Coordination in a Reinforcement-Learning-Based Minority Game.
  The Minority Game (MG) is a paradigmatic model in econophysics, widely used to study inductive reasoning and self-organization in multi-agent systems. Traditionally, coordinated phases in the MG are associated with spontaneous symmetry breaking, where agents d…
  pubmed Shao C, Rao W, Xu W, Wei L 2025 Jun 25 置信度 0.82
• Cyborg insect factory: automatic assembly for insect-computer hybrid robot via vision-guided robotic arm manipulation of custom bipolar electrodes.
  Insect-computer hybrid robots offer strong potential for navigating complex terrains. This study identified the intersegmental membrane between the pronotum and mesothorax of the Madagascar hissing cockroach as an effective site for electrical stimulation to c…
  pubmed Lin Q, Vuong N, Song K, Tran-Ngoc PT 等 2025 Jul 28 置信度 0.82
• Resilience driven EV coordination in multiple microgrids using distributed deep reinforcement learning.
  By integrating electric vehicles (EVs), the multi-microgrids (MMGs) can significantly enhance their resilient operation capabilities. However, existing works face challenges in formulating optimal routing and scheduling strategies for EVs, due to the spatial-t…
  pubmed Wu Y, Cai T, Li X 2025 Jul 25 置信度 0.82
• Integration of multi agent reinforcement learning with golden jackal optimization for predicting average localization error in wireless sensor networks.
  Wireless Sensor Networks (WSNs) used in modern applications like environmental monitoring, smart cities, and healthcare systems depend on accurate sensor node localization. However, attaining accurate localization is challenging due to dynamic environmental co…
  pubmed Prabha KL, Mengash HA, Alqahtani H, Allafi R 2025 Jul 24 置信度 0.82
• Simulation-based framework for stochastic multi-mode resource-constrained project scheduling.
  This paper introduces a new simulation-based framework designed to tackle the challenges of scheduling projects with uncertain activity durations and limited resources, known as the stochastic multi-mode resource-constrained project scheduling problem (SN-MMRC…
  pubmed Rahimifard A, Nakhai-Kamalabadi I, Khalili-Damghani K, Raissi S 2025 Dec 置信度 0.82
• [Studies on the best production mode of traditional Chinese medicine driven by artificial intelligence and its engineering application].
  The traditional Chinese medicine(TCM) industry is a crucial part of China's pharmaceutical sector and plays a strategic role in ensuring public health and promoting economic and social development. In response to the practical demand for high-quality developme…
  pubmed Li Z, Cheng NT, Zhao XP, Tao Y 等 2025 Jun 置信度 0.82
• Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security.
  The need for secure communication systems has driven extensive research into quantum-based security mechanisms, particularly Quantum Key Distribution (QKD). However, traditional QKD systems, within dynamic environments incorporating network fluctuation and att…
  pubmed Shingne H, Chikmurge D, Parkhi P, Agrawal P 2025 Dec 置信度 0.82
• Collision-free formation trajectory tracking control for second-order multi-agent systems by PPC method.
  This paper focuses on addressing the problem of realizing formation trajectory tracking and communication maintenance for multi-agent systems. To ensure comprehensive safety, potential collisions among individual agents and between agents and obstacles are con…
  pubmed Zhu L, Qian Y, Lu AY 2025 Nov 置信度 0.82
• A collective intelligence model for swarm robotics applications.
  Swarm intelligence models represent a powerful tool to address complex tasks by multi-agent systems, although they are rarely used in practical applications as decentralized cooperation logic. Modern challenges include the improvement of model reliability with…
  pubmed Nitti A, de Tullio MD, Federico I, Carbone G 2025 Jul 17 置信度 0.82
• Rational Design of Immunogenic Nanoparticles as a Platform for Enhanced Ovarian Cancer Immunotherapy in Mice.
  Ovarian cancer immunotherapy remains a challenge based on the "cold" tumor microenvironment. Herein we present a rational design to create immunogenic nanoparticles as a multi-agent platform that promotes immune response in a mouse model of ovarian cancer. The…
  pubmed Tang L, Marwedel B, Dang C, Olewine M 等 2025 Jun 8 置信度 0.82
• Large-scale collaborative vehicle routing.
  Carriers can remarkably reduce transportation costs and emissions when they collaborate, for example through a platform. Such gains, however, have only been investigated for relatively small problem instances with low numbers of carriers. We develop auction-ba…
  pubmed Los J, Schulte F, Gansterer M, Hartl RF 等 2025 置信度 0.82
• AI-assisted Drug Re-purposing for Human Liver Fibrosis.
  Liver fibrosis is a severe disease with few treatment options due to the poor quality of the available animal and in vitro models. To address this, we investigated whether a hypothesis generating multi-agent AI system (AI co-scientist) could assist in re-purpo…
  pubmed Guan Y, Inchai J, Fang Z, Law J 等 2025 置信度 0.82
• Long-Endurance Collaborative Search and Rescue Based on Maritime Unmanned Systems and Deep-Reinforcement Learning.
  Maritime vision sensing can be applied to maritime unmanned systems to perform search and rescue (SAR) missions under complex marine environments, as multiple unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs) are able to conduct vision sensi…
  pubmed Dong P, Liu J, Tao H, Zhao Y 等 2025 Jun 27 置信度 0.82
• Swarm Control with RRT-APF Planning and FNN Task Allocation Tested on Mobile Differential Platform.
  This paper presents a novel method for centralized robotic swarm control that integrates path planning and task allocation subsystems. A swarm of agents is managed using various evaluation methods to assess performance. A feedforward neural network was develop…
  pubmed Lajčiak M, Vachálek J 2025 Jun 22 置信度 0.82
• Optimizing on-demand food delivery with BDI-based multi-agent systems and Monte Carlo tree search scheduling.
  On-demand food delivery services are a rapidly expanding sector within the logistics industry, yet optimizing delivery routes in real-time remains a significant challenge, particularly in high-demand and complex environments. This gap hinders operational effic…
  pubmed Liu L, Chen S, Jin H, Deng X 等 2025 Jul 11 置信度 0.82
• Prosthetic Control by Learning: A Multi-Agent Cooperative Game Framework.
  Lower-limb powered prostheses traditionally rely on structured, phase-based controllers designed for specific movement patterns, limiting their adaptability to diverse human motions. This paper presents that powered prosthetic control is a cooperative multi-ag…
  pubmed Hou H, Zhu W, Ruan L, Wang Q 2025 May 置信度 0.82
• Advancing named entity recognition in interprofessional collaboration and education.
  Named Entity Recognition (NER) plays a critical role in interprofessional collaboration (IPC) and education, providing a means to identify and classify domain-specific entities essential for efficient interdisciplinary communication and knowledge sharing. Whil…
  pubmed Zhang R, Shan Y, Zhen M 2025 置信度 0.82
• Text mining in MOF research: from manual curation to large language model-based automation.
  The rapid expansion of metal-organic framework (MOF) literature presents both a rich resource and a significant challenge for knowledge extraction. Text mining, which enables the conversion of unstructured scientific texts into structured, machine-readable dat…
  pubmed Bae S, Jeon M, Moon HR 2025 Jul 22 置信度 0.82
• Willingness and driving factors of rural homestead withdrawal in china's major grain producing areas from the new quality productivity perspective.
  The growing supply-demand imbalance of idle rural homesteads threatens food security and eco-environmental sustainability. The construction of production relations centered on new-quality productive forces is crucial for resolving this dilemma and accelerating…
  pubmed Zhou H, Qiao X, Yang Y, Zhang J 等 2025 Jul 2 置信度 0.82
• Chemical interactions in active droplets.
  Active droplets serve as simple artificial model systems to elucidate the chemical and hydrodynamics-driven interactions between biological organisms. We investigate the pairwise interactions between such micellar solubilization based active droplets, capable …
  pubmed Dwivedi P, Ashraf S, Kumar P, Pillai D 等 2025 Jul 7 置信度 0.82
• Who speaks next? Multi-party AI discussion leveraging the systematics of turn-taking in Murder Mystery games.
  Multi-agent systems utilizing large language models (LLMs) have shown great promise in achieving natural dialogue. However, smooth dialogue control and autonomous decision making among agents still remain challenging.
  pubmed Nonomura R, Mori H 2025 置信度 0.82
• Verification of temporal consistency constraints in the evolution of software for intelligent unmanned systems driven by model checking.
  As the application of intelligent unmanned systems in open environments becomes increasingly widespread, temporal consistency in the system's dynamic evolution process has become a critical issue for determining whether the system is safe and reliable. To addr…
  pubmed Lu C, Li C, Liu C, Wu X 等 2025 Jul 1 置信度 0.82