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• Explainable multi-agent learning for adaptive terrorist network disruption.
  Disrupting terrorist networks remains a critical challenge for counter-crime units due to their adaptive, decentralized, and covert nature. Existing approaches provide valuable structural insights but often rely on static representations and do not capture the…
  pubmed Dogan V, Prestwich S, O'Sullivan B 2026 May 16 置信度 0.82
• Containment control for stochastic multiagent systems with multiple dynamic leaders and compound noises.
  In recent years, compound noise, including additive noise and multiplicative noise, has inevitably affected stochastic multi-agent systems (SMASs). These noises introduce unpredictable oscillations that severely degrade system stability. This influence becomes…
  pubmed Du Y, Shang J, Liu Z, Zhang A 等 2026 Aug 置信度 0.82
• Robust formation control of heterogeneous UAV-USV multi-agent systems: An actor-critic enhanced hyperbolic sliding mode approach with dynamic event-triggering.
  This paper investigates the robust formation control problem for heterogeneous Unmanned Aerial Vehicle (UAV) and Unmanned Surface Vehicle (USV) multi-agent systems in mission-critical maritime scenarios (e.g., search and rescue) subject to complex environmenta…
  pubmed Zhang Z, Zhong Y, Song D 2026 Sep 置信度 0.82
• Neural grid control systems with predictive transient stability enhancement enabling 100 percent renewable integration through distributed intelligence and real time topology reconfiguration.
  The galloping movement toward completely renewable power systems means that new control architectures are needed that can cope with increased variability to date whilst maintaining short-lived stability in low-inertia networks. This paper presents a Neural Gri…
  pubmed Cui Z, Liang Y 2026 May 15 置信度 0.82
• Intravenous zoledronate for pediatric langerhans cell histiocytosis with bone involvement.
  Bone involvement in pediatric Langerhans cell histiocytosis (LCH) causes pain, functional impairment, and frequent relapse, creating a need for adjunctive therapies with rapid skeletal benefit. At National University Hospital, Singapore, a tertiary pediatric h…
  pubmed Sy JA, Quah TC, Tee PP, Ho CWL 2026 置信度 0.82
• Leader follower second order voltage control with disturbance observer for DC microgrids.
  This paper proposes an advanced secondary voltage control framework for a renewable- and electric-vehicle (EV)-integrated DC microgrid using a leader-follower multi-agent consensus architecture. To coordinate power sharing among heterogeneous battery energy st…
  pubmed Bhargavi KM, Dash R, Reddy KJ, Mohapatra B 等 2026 May 13 置信度 0.82
• Computation Offloading Strategy Based on Multi-Agent Reinforcement Learning in Vehicular Edge Computing Networks.
  With the development of intelligent transportation systems, vehicular applications demonstrate diverse characteristics, including computation-intensive processing and stringent latency requirements. Traditional computation offloading strategies struggle to cop…
  pubmed Liu Y, Sun Q, Liu Z 2026 置信度 0.82
• Performance improvement in leader-following consensus of multi-agent systems via MPC-based reset output feedback control.
  This paper presents a novel approach to address the leader-following output consensus problem in linear multi-agent systems using a reset Model Predictive Control (MPC)-based dynamic output feedback controller. The proposed method integrates continuous and dis…
  pubmed Saeednia N, Khayatian A 2026 Aug 置信度 0.82
• Supporting human-agent communication for explainable planning in spatial-temporal planning problems.
  The task of supporting a human operator to understand generated plans, and to explore the plan space, are important problems in automated planning. In this work, we consider the problem of plan explainability and plan space exploration in underwater autonomous…
  pubmed Lindsay A, Ramírez-Duque AA, Craenen B, Robb DA 等 2026 置信度 0.82
• The Agents of Climate Justice in Healthcare.
  This paper addresses the critical issue of decarbonising healthcare systems to help combat climate change. I focus on identifying the 'agents of justice' responsible for this transformation. Beginning with the claim that healthcare's greenhouse gas emissions c…
  pubmed Parker J 2026 Sep 置信度 0.82
• Temporality modulates the effect of network heterogeneity on cooperation fixation.
  Understanding the evolution of cooperation in structured populations remains a central challenge in multidisciplinary areas. Although previous findings suggest that structural heterogeneity in static networks hinders cooperation, real-world interactions in mos…
  pubmed Li A, Meng Y, Zhou L, Masuda N 等 2026 May 8 置信度 0.82
• MARTP: a multi-agent simulation framework for automated radiation therapy planning based on LLMs.
  Objective. High-quality radiotherapy requires accurate dose delivery to target volumes while protecting organs-at-risk. However, current clinical workflows remain constrained by labor-intensive multidisciplinary collaboration, prolonged planning cycles, and li…
  pubmed Wang D, Hu Z, Li Y, Xu D 等 2026 Jun 26 置信度 0.82
• Robust multi-agent reinforcement learning framework for intelligent PV-integrated smart energy systems under uncertainty.
  The increasing penetration of residential photovoltaics (PV), energy storage, and flexible demand introduces significant uncertainty, coordination challenges, and long-term asset degradation in smart energy communities. Existing residential energy management a…
  pubmed Arshad SB, Che Y, Ahmad A, Alaqil MA 2026 May 7 置信度 0.82
• The application of deep learning in tactical analysis of football matches.
  This paper presents a deep learning-based framework for tactical analysis in football, focusing on modeling structured tracking data rather than attempting full end-to-end perception. We introduce two modular components: Tactiformer, a transformer-based encode…
  pubmed Huang W, Wang S, Li P 2026 May 7 置信度 0.82
• Autonomous policy evolution and decision robustness in hybrid learning-optimization frameworks for energy systems with distributed renewables.
  This study presents a hybrid reinforcement learning-assisted distributionally robust optimization (RL-DRO) framework for resilient and low-carbon energy system operation under uncertainty. The proposed model integrates a multi-agent reinforcement learning stru…
  pubmed Zheng Y, Wang S, Tan Z, Zhang Y 等 2026 May 6 置信度 0.82
• EdgeFuser: A tightly coupled adaptive framework for real-time athlete group analytics.
  This paper presents an integrated framework for real-time athlete group movement analysis in competitive sports, addressing heterogeneous sensor noise, complex multi-agent interactions, and edge-device constraints. The core innovation is a unified state-space …
  pubmed Yang J, Liu R, Miao Z 2026 May 15 置信度 0.82
• E(2)AD: Enhanced and explainable Alzheimer's disease detection framework via anatomy- and relation-aware cross-modal knowledge distillation.
  Alzheimer's disease (AD) is a progressive neurodegenerative disorder for which MRI and PET provide complementary structural and molecular information. Yet PET remains costly and often unavailable, motivating MRI-only diagnostic systems that still benefit from …
  pubmed Wang C, Piao S, Chen Z, Chen T 等 2026 Jul 置信度 0.82
• Joint Service Chain Orchestration and Computation Offloading via GNN-Based QMIX in Industrial IoT.
  In IIoT edge computing, multi-edge server collaborative scheduling faces two core issues due to random task arrivals, heterogeneous resources, and complex topology: traditional model-driven methods cannot make dynamic decisions in dynamic environments, and con…
  pubmed Huang X, Tian B 2026 置信度 0.82
• When Wholes Resist Decomposition: A Spectral Measure of Epistemic Emergence.
  Multi-agent and distributed dynamical systems can exhibit coordinated behavior that is difficult to summarize in terms of independent parts. Integrated Information Theory (IIT) provides one influential notion of system-level irreducibility, but exact computati…
  pubmed Bailey M, Schneider S 2026 置信度 0.82
• A spatiotemporal cell theory for cooperative pattern formation in reinforcement learning-driven evolutionary games.
  The emergence and stable evolution of cooperation among self-interested individuals is a central issue spanning evolutionary biology, social dynamics, and artificial intelligence. Conventional imitation-based evolutionary game models, lacking mechanisms for ac…
  pubmed Zhang HY, Gu YH, Yao N, Liang XL 等 2026 May 1 置信度 0.82
• Enhancing context-aware SARS disorder management: a proposed multi-agent simulation framework with machine learning and bio-sensor data integration.
  In this work, SARS disorder denotes a generic acute severe respiratory distress condition characterized by abnormal respiratory rate, oxygen saturation, fever, and cardiovascular stress indicators, and does not represent a COVID-19 diagnostic system. Our resea…
  pubmed Abdullah, Fatima Z, Hafeez N, Ather MA 等 2026 置信度 0.82
• Carbon-electricity-hydrogen combined market drives hydrogen aggregator clusters to regulate power-transportation network.
  The electricity-hydrogen coupled system enhances flexibility and efficiency, but designing market mechanisms that enable multiple entities to collaboratively participate in electricity, hydrogen markets, achieving value linkage across energy-transportation-env…
  pubmed Li B, Li J, Li Z 2026 Apr 28 置信度 0.82
• Blinatumomab in pediatric acute lymphoblastic leukemia: current and future use.
  Treatment outcomes for pediatric acute lymphoblastic leukemia (ALL) have improved considerably, with overall survival rates in high-income countries now exceeding 90% as a result of the introduction of risk-adapted chemotherapy and improved supportive care. Fu…
  pubmed Lertvivatpong N, Inaba H 2026 Jul 置信度 0.82
• Parametrized Graph Convolutional Multi-Agent Reinforcement Learning with Hybrid Action Spaces in Dynamic Topologies.
  Multi-agent swarm collaboration, inspired by the collective behaviors of biological swarms in nature, has wide applications in dynamic open environments. However, hybrid action spaces in multi-agent reinforcement learning (MARL) present a critical challenge: t…
  pubmed Chi P, Liu C, Zhao J, Wang Y 2026 置信度 0.82
• Preset-time control of UGV swarms with multiplicative noise and RISE disturbance observer.
  This paper investigates the prescribed-time tracking control problem for a cluster system of unmanned ground vehicles (UGVs), aiming to address the challenges posed by nonlinear multi-agent systems under multiplicative measurement noise. A nonlinear disturbanc…
  pubmed Pang H, Yu J, Li S, Zhang Z 等 2026 Apr 20 置信度 0.82
• Enhanced nanoencapsulation of gentamicin, ciprofloxacin, and lysozyme in chitosan-MIL-53 metal-organic frameworks for a synergistic activity against drug-resistant Salmonella from poultry and human origins.
  The escalating crisis of antimicrobial resistance (AMR), particularly in foodborne pathogens like non-typhoidal Salmonella , necessitates innovative therapeutic strategies. This study first characterized multidrug-resistant (MDR) Salmonella serovars isolated f…
  pubmed Ibrahim Mohamed F, Ibrahim MA, Abdel-Latef GK, Abdel-Rahim MM 等 2026 Apr 14 置信度 0.82
• Intentional policy graphs: A pipeline for explaining agent behavior through intentions.
  Agents increasingly operate in complex environments, where coherent behavior often emerges from opaque decision-making processes. While such systems can be highly effective, this lack of transparency limits trust, auditing, and meaningful human understanding. …
  pubmed Gimenez-Abalos V, Alvarez-Napagao S, Tormos A, Montese S 等 2026 Apr 10 置信度 0.82
• Echo-state network based adaptive fuzzy sliding-mode consensus control scheme for nonlinear multi-agent systems with external disturbances.
  This paper presents a novel hybrid control strategy for nonlinear multi-agent systems (MASs) operating under external disturbances and system uncertainties. The proposed framework integrates an adaptive fuzzy sliding-mode (AFSM) controller, an echo state netwo…
  pubmed Abd-Elhaleem S, Sallam M, Mahmoud TA, Hamdy M 2026 Jun 置信度 0.82
• Adaptive finite-time tracking control for non-cooperative targets in multi-agent systems via active replacement strategy.
  This paper proposes a finite-time tracking control strategy for multi-agent systems executing non-cooperative target-tracking missions within a designated area. A distributed controller is developed that integrates a radial basis function (RBF) neural network …
  pubmed Bai R, Dong L, Tan X 2026 Jun 置信度 0.82
• Dynamic environmental management and liability attribution using an AlphaZero-Bayes framework: Intelligent decision support for multi-agent risk systems.
  Attributing liability in environmental systems involving multiple strategic actors poses significant challenges for policy-makers and regulators, particularly under conditions of uncertainty, feedback dynamics, and distributed responsibility. Traditional deter…
  pubmed Kahraman ÜO, Üçağaç A, İnal V, Mucahit Aydin 2026 Apr 1 置信度 0.82
• Self-tuning dynamic event-triggered consensus control for multi-agent systems and its implementation via self-triggering.
  This paper addresses the event-triggered consensus control of general linear multi-agent systems. A novel self-tuning dynamic event-triggered control is first proposed, which effectively reduces the triggering frequency while allowing the convergence performan…
  pubmed Hou Z, Zhou Z, Zhang J, Wang W 等 2026 Jun 置信度 0.82
• Dynamic event-triggered optimized control for nonlinear multi-agent systems via reinforcement learning.
  The practical deployment of high-order nonlinear multi-agent systems (MASs) is often hindered by two critical bottlenecks: limited communication resources and unavoidable environmental uncertainties. To overcome these challenges, an innovative optimized consen…
  pubmed Ruan X, Liang S, Peng T, Wu A 等 2026 Sep 置信度 0.82
• Joint Optimization of Time Slot and Power Allocation in Underwater Acoustic Communication Networks.
  This paper proposes a joint optimization algorithm based on reinforcement learning to address the time slot and power allocation problem in underwater acoustic communication networks (UACNs). By maximizing the total capacity of successful transmissions as the …
  pubmed Geng X, Hu Y 2026 Apr 1 置信度 0.82
• Memory length and space shape multi-agent Q-learning dynamics.
  In repeated interactions, players adjust their behavior based on previous moves. Higher memory leads to an exponential growth in the number of strategies, meaning players require more complex cognitive abilities. Even if players can observe the strategies and …
  pubmed Wang W, Li X, Ma Y, Tan H 等 2026 Apr 1 置信度 0.82
• Mechanisms of functional and morphological synapse plasticity.
  Synaptic plasticity is associated with structural and morphological changes in spines. The change in synaptic weight is provided mainly by the insertion/removal of AMPA-type glutamate receptors in the post-synaptic membrane and by a change in their conductance…
  pubmed Maximov D 2026 May 置信度 0.82
• Autonomous inverse modeling of complex groundwater systems via a physics-integrated large language model multi-agent framework.
  Inverse modeling of groundwater flow and transport in subsurface systems is fundamentally restricted by the conceptual-numerical gap, where translating hydrogeological hypotheses into executable simulation codes remains a labor-intensive process. While data-dr…
  pubmed Ma F, Chen J, Dai Z, Cai F 等 2026 Jul 1 置信度 0.82
• A noise-resilient distributed recurrent neural network for multi-agent consensus control and acoustic source localization.
  In multi-agent systems (MASs), consensus control and acoustic source localization are fundamental yet noise-sensitive tasks. While recurrent neural networks (RNNs) have shown strong potential in these domains due to their dynamic modeling capabilities, their c…
  pubmed Jia L, Xiong W, Xiao L, Li Y 2026 Sep 置信度 0.82
• DAFRL: a dynamic adaptive mean field game-based multi-agent cooperative decision-making method.
  Aiming at the problems of insufficient coordination accuracy and poor adaptability to dynamic environments caused by complex coupling relationships in large-scale heterogeneous multi-agent systems, this paper proposes a cooperative decision-making method that …
  pubmed Tang Y, Fan C, Yu D 2026 Apr 6 置信度 0.82
• A conversational multi-agent AI system for automated plant phenotyping.
  Plant phenotyping increasingly relies on (semi-)automated image-based analysis workflows to improve its accuracy and scalability. However, many existing solutions remain overly complex, difficult to reimplement and maintain, and pose high barriers for users wi…
  pubmed Chen F, Stogiannidis I, Wood A, Bueno D 等 2026 Apr 3 置信度 0.82
• Collaborative multi-agent conversational artificial intelligence for clinical support in Parkinson disease.
  Parkinson disease (PD) is a progressive neurodegenerative disorder that poses significant challenges in diagnosis, treatment planning, and long-term care, as patients and healthcare providers often lack timely and context-specific information. This study prese…
  pubmed Mukhtar A, Arzu GE, Toor WT, Ali U 2026 Aug 置信度 0.82
• Real-world pharmacovigilance insights and clinical safety signal characterization of the classic mood stabilizer‑lithium carbonate: A disproportionality analysis based on FAERS data.
  Lithium carbonate is a classic mood stabilizer for bipolar disorder, yet real-world pharmacovigilance of its safety signals (especially underrecognized systems/populations) is lacking. This study detected disproportional ADR signals via FAERS to clarify its mu…
  pubmed Zeng Y, Wu H, Tan X, Wang R 等 2026 Aug 1 置信度 0.82
• Graph transformer Q-network for collaborative governance and decentralized decision-making in multi-intersection networks.
  Coordinated traffic signal control along urban corridors is critical for reducing stop-and-go waves, vehicle delay, and queue spillback, yet remains challenging under large-scale topology, partial observability, and stochastic demand. Existing MARL controllers…
  pubmed Zhang H 2026 Mar 31 置信度 0.82
• Empowering AI data scientists using a multi-agent LLM framework with self-evolving capabilities for autonomous, tool-aware biomedical data analyses.
  Artificial intelligence agents are emerging as powerful applications of large language models (LLMs), automating complex tasks and enabling scientific data exploration. However, their use in biomedical data analysis remains limited by the difficulty of handlin…
  pubmed Bu D, Sun J, Li K, He Z 等 2026 Mar 30 置信度 0.82
• Dual Body Sensation: Effects of Visio-Tactile Presentation Methods in Parallel Agent Control.
  Controlling multiple agents in parallel is an important challenge in human-robot interaction, with growing applications in remote collaboration, telepresence, and multi-agent coordination. However, empirical work on distributed embodiment remains limited, part…
  pubmed Serizawa M, Pannattee P, Fukuchi Y, Yem V 等 2026 May 置信度 0.82
• Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prexdiction with Multimodal Biomedical Data.
  Accurate diagnosis of Alzheimer's disease (AD) requires handling tabular biomarker data, yet such data are often small and incomplete, where deep learning models frequently fail to outperform classical methods. Pretrained large language models (LLMs) offer few…
  pubmed Kearney S, Yang S, Wen Z, Lyu W 等 2026 Mar 17 置信度 0.82
• Observer-based quasi-bipartite consensus cloud control for multi-agent systems with stochastic communication protocol: A dynamic event-triggered approach.
  This paper addresses the bipartite consensus control problem for a class of discrete-time stochastic networked multi-agent systems (S-NMASs) under an observer-based cloud controller (CC) with multiplicative noise and bounded exogenous disturbances. Agents inte…
  pubmed Tan C, Han S, Hu J, Liu GP 等 2026 Jun 置信度 0.82
• Artificial intelligence resolves transboundary water conflicts under climate uncertainty.
  Sustainable transboundary water management is increasingly compromised by climate-induced deep uncertainty, as traditional open-loop strategies fail to adapt to non-stationary hydrological shifts and physical propagation time-lags. To overcome these structural…
  pubmed Cheng C, Pang Q, Tang Y, Zhou Q 等 2026 Jun 15 置信度 0.82
• Track-to-Track Fusion for Cooperative Perception Using Collective Perception Messages.
  Vehicle-to-everything communication grants connected and automated road vehicles the opportunity to share their sensor information such as detected road objects for collective awareness. This paper compares various state fusion strategies within a high-level c…
  pubmed Castelino RM, Pradhan S, Hahn A 2026 Mar 23 置信度 0.82
• Negotiation-augmented federated reinforcement learning for conflict-free edge-cloud stream scheduling.
  The rapid expansion of latency-sensitive streaming applications in edge-cloud systems presents considerable hurdles for adaptive scheduling, especially amid variable workloads, diverse resources, and multi-cluster interactions. Current decentralized methodolog…
  pubmed Kang X, Hua C 2026 Mar 26 置信度 0.82
• Unusual Ampullary Presentation of Pediatric Burkitt Lymphoma: Case Report and Literature Review.
  Burkitt lymphoma (BL) is a highly aggressive B-cell non-Hodgkin lymphoma that typically presents with abdominal masses; ampullary involvement with obstructive jaundice and gastrointestinal bleeding is exceptionally rare in children. Early biliary decompression…
  pubmed Malik K, Saleem MS, Amjad H, Bin Kamran N 等 2026 置信度 0.82
• Reinforcement learning for dynamic speed control in connected and autonomous vehicles: A review of applications and challenges.
  This review examines reinforcement learning (RL) methods for dynamic speed control in connected and autonomous vehicle (CAV) environments, covering variable speed limits, platooning, and speed harmonization. Focusing on studies from 2017 to 2025, it analyzes a…
  pubmed Alhmiedat T, Albelwi S, Alotaibi M, Mustafa M 等 2026 置信度 0.82
• WiseMind: a knowledge-guided multi-agent framework for accurate and empathetic psychiatric diagnosis.
  Large Language Models (LLMs) offer promising opportunities to support mental healthcare workflows, yet they often lack the structured clinical reasoning needed for reliable diagnosis and may struggle to provide the emotionally attuned communication essential f…
  pubmed Wu Y, Wan G, Li J, Zhao S 等 2026 置信度 0.82
• A novel multi-agent spatiotemporal fusion framework for intelligent skin cancer diagnosis.
  Skin cancer is one of the most common malignancies worldwide, and early-stage diagnosis remains challenging due to its morphological similarity to benign lesions. Most existing computer-aided diagnostic systems rely on single static images, overlooking tempora…
  pubmed Zheng P, Yang J, Wen X, Hu B 2026 置信度 0.82
• Optimal cooperative output regulation with norm-based performance specifications.
  This article addresses the optimal cooperative output regulation problem for linear heterogeneous multi-agent systems, ensuring both transient and steady-state performance of regulated errors while minimizing the predefined cost. To achieve the explicit specif…
  pubmed Yang Y, Hu W, Luo B, Gui G 2026 May 置信度 0.82
• Mutation promote cooperation in repeated games on structured populations.
  Cooperation is a fundamental phenomenon in human societies and multi-agent systems, yet it remains challenging to sustain among rational individuals. In realistic evolutionary processes, cooperative behavior is inevitably affected by behavioral variation and r…
  pubmed Liu J, Wang X, Sun H, Liu X 等 2026 Mar 1 置信度 0.82
• DispatchMAS: fusing taxonomy and artificial intelligence agents for emergency medical services.
  BACKGROUND: Emergency medical dispatch is a critical, high-stakes process where dispatcher decisions directly impact patient outcomes. While standardized protocols exist, they are challenged by factors like caller distress, ambiguous symptom descriptions, and …
  pubmed Li X, Yu H, Wang W, Wu Y 等 2026 置信度 0.82
• Deep learning for dynamic tactical formation recognition in professional football.
  Recognizing tactical formations is a critical task in professional football performance analytics. However, existing methods often fail to capture the dynamic and continuously evolving nature of modern tactical systems within conventional classification framew…
  pubmed Wang Y, ShangGuan Q, Chen G, Chen Y 2026 Mar 17 置信度 0.82
• Reinforcement Learning-Based Management in IoT-Enabled Renewable Energy Communities: An Approach to Optimization for Comfort, Economy, and Sustainable Performance.
  The increasing deployment of Internet of Things (IoT) sensing infrastructures and distributed renewable energy resources is enabling the emergence of Renewable Energy Communities (RECs), which require intelligent, adaptive, and decentralized energy management …
  pubmed Caputo S, Iacobelli E, De Lucia M, Jayousi S 等 2026 置信度 0.82
• Adaptive Sliding Mode with Finite-Time Convergence for Synchronized Hydraulic Multi-Arm Systems.
  This study introduces a novel robust finite-time adaptive sliding mode control (FTSMC) strategy, emphasizing its contributions to the synchronized deployment of hydraulically actuated multi-arm systems in confined environments, such as coal bunker cleaning. Ke…
  pubmed Gao B, Yang F, Ji G, Yang G 等 2026 置信度 0.82
• A framework of large language model commander agent for spatial reasoning in combat simulation.
  Large language models (LLMs) demonstrate strong reasoning and planning capabilities in static textual contexts, yet they struggle significantly with dynamic decision-making tasks involving spatial elements, such as point selection in military simulations. Thes…
  pubmed Chen YB, Ping Y, Zhou S, Jojo C 2026 Mar 13 置信度 0.82
• Dynamic event-triggered approximate optimal consensus control for unknown nonlinear multi-agent systems via adaptive dynamic programming.
  This paper proposes a novel dynamic event-triggered approximate optimal consensus control scheme based on adaptive dynamic programming (ADP) for nonlinear multi-agent systems (MASs) with unknown dynamics, aiming to bridge the gap between theoretical control de…
  pubmed Zhang D, Hao Y, Yuan Q, Qin C 2026 May 置信度 0.82
• MAESD: A Unified Multi-Agent Evolutionary Framework for Protein Sequence Design.
  Traditional computational protein design heavily relies on expert-level biological inputs to define structural and functional constraints, posing significant barriers in terms of technical implementation and workflow construction. To address this gap, we capit…
  pubmed Song Z, Yang H, Deng Z, Pan X 等 2026 Apr 13 置信度 0.82
• Bioremediation of soil microplastics: the role of microbial and earthworm activity.
  Microplastics in soil transform through interacting abiotic, microbial, and faunal processes that collectively determine their persistence and ecological impact. To establish a mechanistic understanding of these complex interactions, we systematically reviewed…
  pubmed Stephen G, Namdev PK, Singh K, Yadav S 2026 Apr 置信度 0.82
• On independency of functional and morphological synapse plasticity.
  Synaptic plasticity is associated with structural and morphological changes in spines. In turn, these changes in synaptic weights are provided mainly by the insertion/removal of AMPA-type glutamate receptors in the post-synaptic membrane and a change in their …
  pubmed Maximov D 2026 May 置信度 0.82
• Using reinforcement algorithms to improve the collaboration efficiency of entrepreneurial teams.
  Entrepreneurial Team (ET) plays an essential role in the business process by driving innovation and optimizing ideas via adaptability, collaboration, and resourcefulness. The team performance is continuously affected because of resource imbalance, poor communi…
  pubmed Wang J, Jiang L 2026 置信度 0.82
• Predefined-time consensus control for multiagent systems with input and output quantization.
  For the predefined-time control problem of unknown nonlinear multi-agent systems (NMASs), a novel adaptive neural consensus control strategy is proposed. Unlike existing predefined-time control approaches, this strategy enables communication of input and outpu…
  pubmed Shi J, Cheng H, Wang F 2026 Aug 置信度 0.82
• Reinforcement learning-based optimal control for stochastic opinion dynamics.
  This paper proposes a integrated framework for optimal control of opinion dynamics in social networks, addressing three progressively challenging scenarios: Model-based stochastic control, where agent interactions follow known probability distributions, enabli…
  pubmed Chen Y, Gao H, Mazalov VV, Liu Y 2026 Mar 6 置信度 0.82
• Power management and performance optimization of underwater wireless sensor networks based on MARL.
  In underwater wireless sensor network communication, communication performance degrades due to factors such as complex underwater channels and limited node resources. To reduce node redundancy energy consumption, improve transmission reliability, and extend th…
  pubmed Guan J 2026 置信度 0.82
• Bi-level graph attention paradigm with differential strategy integration for heterogeneous multi-agent reinforcement learning.
  Collaboration among heterogeneous agents is crucial for addressing complex real-world tasks that require leveraging diverse capabilities. In such systems, increasing agent numbers amplify the challenges of communication and coordinated decision-making, in addi…
  pubmed Li Y, Zhang Z, Wang J 2026 Mar 5 置信度 0.82
• A Multi-Agent Continual reinforcement learning framework with multi-Timescale replay and dynamic task classification.
  This paper proposes an innovative Multi-Agent Continual Reinforcement Learning (MACRL) framework to address the challenges of continual learning in dynamic multi-agent systems. Traditional reinforcement learning suffers from catastrophic forgetting and ineffic…
  pubmed Liu Y, Feng X, Yu H 2026 Aug 置信度 0.82
• Multi-level signal-vehicle cooperative control to improve safety and efficiency for arterial intersections in mixed-autonomy traffic.
  Cooperative control of traffic signals and connected autonomous vehicles (CAVs) has shown significant promise in improving safety and efficiency at isolated intersections. Nevertheless, extending such strategies to arterial intersections introduces considerabl…
  pubmed Zhang G, Li F, Lee JJ, Huang H 等 2026 Jun 置信度 0.82
• Large language model-based multiagent collaboration for abstract screening toward automated systematic reviews.
  Systematic reviews (SRs) are essential for evidence-based practice but remain labor-intensive, especially during abstract screening. This study evaluates whether multiple large language models (multi-LLMs) collaboration can improve the efficiency and reduce co…
  pubmed Akinseloyin O, Jiang X, Palade V 2026 置信度 0.82
• Multi-Agent Sensor Fusion Methodology Using Deep Reinforcement Learning: Vehicle Sensors to Localization.
  Despite recent major advances in autonomous driving, several challenges remain. Even with modern advanced sensors and processing systems, vehicles are still unable to detect all possible obstacles present in complex urban settings and under diverse environment…
  pubmed Araújo TO, Netto ML, Francisco Justo J 2026 Feb 8 置信度 0.82
• Cytotoxic and Cytostatic Effects of Nanoformulated Fenretinide on MG63 Osteosarcoma Cells.
  Background : Osteosarcoma is the most common primary malignant bone tumor in children and adolescents. At present, multi-agent chemotherapy and surgery provide only limited effects and the prognosis for patients with recurrent or metastatic disease remains poo…
  pubmed Anconelli L, Farioli F, Rossi M, Lodeserto P 等 2026 Feb 23 置信度 0.82
• Benchmarking LLM-based agents for single-cell omics analysis.
  The surge in single-cell omics data exposes limitations in traditional, manually defined analysis workflows. AI agents offer a paradigm shift, enabling adaptive planning, executable code generation, traceable decisions, and real-time knowledge fusion. However,…
  pubmed Liu Y, Zhou L, Du X, He R 等 2026 置信度 0.82
• FaceScanPaliGemma multi-agent vision language models for facial attribute recognition.
  Technologies for recognizing facial attributes such as race, gender, age, and emotion from images of human faces have several applications, including personalized advertising, sentiment analysis, and the study of demographic trends and social behaviors. Analyz…
  pubmed AlDahoul N, Tan MJT, Kasireddy HR, Zaki Y 2026 Feb 23 置信度 0.82
• From human teams to hybrid intelligence teams: identifying, characterizing, and evaluating foundational quality attributes.
  Hybrid Intelligence (HI) is an emerging paradigm in which artificial intelligence (AI) augments human intelligence. The current literature lacks systematic models that guide the design and evaluation of HI systems. Further, discussions around HI primarily focu…
  pubmed Dell'Anna D, Murukannaiah PK, Yurrita M, Dudzik B 等 2026 置信度 0.82
• A graph-based safe reinforcement learning method for multi-agent cooperation.
  Safety and Restricted Communication are two critical challenges faced by practical Multi-Agent Systems (MAS). However, most Multi-Agent Reinforcement Learning (MARL) algorithms that rely solely on reward shaping are ineffective in ensuring safety, and their ap…
  pubmed Gou F, Du H, Cai Y 2026 Jul 置信度 0.82
• Characterizing vehicle-pedestrian interaction behavior in near misses: Insights from three different cities.
  Improving the safety of vulnerable road users such as pedestrians requires a good understanding of their interaction behavior and their collision avoidance mechanisms in interactions with other road users. Refining this understanding will become even more impo…
  pubmed Lanzaro G, Sayed T, Osama A, Telima M 2026 Jun 置信度 0.82
• A Unique Case of Concomitant T-Prolymphocytic Leukemia and B-Cell Acute Lymphoblastic Leukemia.
  T-prolymphocytic leukemia (T-PLL) is a rare lymphoid malignancy with a poor prognosis. B-cell acute lymphoblastic leukemia (B-ALL) also confers a poor prognosis, especially in patients with high-risk features without an option for transplant. Here, we present …
  pubmed Patel VM, Hyak J, Laknezhad S, Chintapenta M 等 2026 Feb 置信度 0.82
• Lagrangian formulation to optimize interactions in virtual environments.
  We study the dynamics of user-agent interactions in virtual environments through mathematical models derived in a Lagrangian formalism. The goal is to optimize the number of agents required to solve a generic predefined task while minimizing the computational …
  pubmed Afify A, Vicini A, Bellacicca A 2026 Jan 置信度 0.82
• Thermodynamic framework for modeling social adoption in multi-agent systems.
  We develop a thermodynamic framework for modeling innovation adoption and abandonment dynamics using statistical mechanics. Starting from a mathematical model for an adoption distribution that fits empirically obtained date, we construct a canonical ensemble w…
  pubmed Giardini GSY, daCunha CR 2026 Jan 置信度 0.82
• Consensus control and performance recovery of heterogeneous second-order multi-agent systems via two-time-scale separation approach.
  This paper addresses a two-time-scale separation-based redesign technique for achieving robust consensus and transient performance recovery in second-order multi-agent systems (MASs) subject to both unmodeled dynamics and external disturbances. The proposed pr…
  pubmed Mohammadalizadeh S, Arefi MM, Khayatian A 2026 置信度 0.82
• Robust and efficient communication in multi-agent reinforcement learning.
  Multi-agent reinforcement learning (MARL) has made significant strides in enabling coordinated behaviors among autonomous agents. However, most existing approaches assume that communication is instantaneous, reliable, and has unlimited bandwidth; these conditi…
  pubmed Liu Z, Li Y, Wang J, Tu J 等 2026 Feb 1 置信度 0.82
• Decision-Making of automated vehicles under diverse risky pedestrian crossing behaviors.
  Uncontrolled midblocks are frequently associated with elevated traffic conflict rates but often lack effective mitigation measures. Risky pedestrian crossing behaviors, such as jaywalking, distracted walking, and dart-outs from occluded areas, combined with he…
  pubmed Chen X, Wang H 2026 Jun 置信度 0.82
• DNA-based cooperative games: an interactive collective decision-making architecture.
  Game theory provides an architecture for multi-agent strategic interactions, while DNA computing offers programmable, parallel molecular-scale operations, enabling unique "molecular gaming" systems beyond silicon-based architectures. Current approaches, primar…
  pubmed Yao Y, Zhang X, Wu R, Cui S 等 2026 Mar 4 置信度 0.82
• Strategy evolution on temporal hypergraphs.
  Individuals interact and cooperate in structured systems. Many studies represent this structure using static networks, where each link represents a permanent connection between two nodes. However, real interactions are generally not time-invariant and are ofte…
  pubmed Wang X, Zhou L, McAvoy A, Tian Z 等 2026 Feb 17 置信度 0.82
• Correction: Multi-agent systems powered by large language models: applications in swarm intelligence.
  [This corrects the article DOI: 10.3389/frai.2025.1593017.].
  pubmed Jimenez-Romero C, Yegenoglu A, Blum C 2025 置信度 0.82
• Modeling interactive car-following behaviors of automated and human-driven vehicles in safety-critical events: a multi-agent state-space attention-enhanced framework.
  As automated vehicles (AVs) become increasingly prevalent in mixed-traffic environments, it is essential to understand how they interact with human-driven vehicles (HDVs), especially in safety-critical situations. Existing research has primarily focused on AVs…
  pubmed Pu Q, Xie K, Guo H 2026 May 置信度 0.82
• A cognitive internet of things resource allocation method based on multi-agent reinforcement learning algorithm.
  This paper addresses the challenges of inter-vehicle communication, taking into consideration the stochastic nature of primary user spectrum occupancy, the highly dynamic fluctuation of channel states, and the timeliness requirements for communication among ve…
  pubmed Wang R, Shen Y, Wang D, Li W 2026 Feb 7 置信度 0.82
• Multi-modal and multi-agent reinforcement learning framework for urban traffic flow prediction and signal control optimization.
  The rapid urbanization of cities has exacerbated traffic congestion, resulting in significant environmental impacts, including elevated greenhouse gas emissions and deteriorating air quality. Traffic management systems, while effective in many contexts, often …
  pubmed Wang R, Zhang J, Wang X, He H 等 2026 Feb 6 置信度 0.82
• Resource allocation over nonlinear uncertain multi-agent systems: An efficient communication perspective.
  Multi-agent system (MAS), as the main framework for distributed resource allocation, may be subject to resource limitations, communication bandwidth constraints, and environmental changes in actual operation, which can lead to nonlinear behavior, uncertain par…
  pubmed Li H, Yan C, Qin S 2026 Mar 置信度 0.82
• Preclinical efficacy of combinatorial B7-H3 CAR T cells and ONC206 against diffuse intrinsic pontine glioma.
  Diffuse intrinsic pontine glioma (DIPG) is a fatal pediatric brain tumor affecting over 300 children annually in the United States. Chimeric antigen receptor (CAR) T cells are a targeted immune effector cell therapy with substantial clinical benefit against he…
  pubmed Timpanaro A, Song EZ, Toumi R, Elena-Sanchez L 等 2026 May 1 置信度 0.82
• Path planning for UAVs in complex terrain based on the PGD model: Algorithmic improvements combining feature extraction and reinforcement learning.
  This paper proposes the PGD model for UAV path planning in complex terrain, addressing key challenges such as high-dimensional state processing, blind path exploration, and poor cross-scene adaptability. The PGD model integrates Transformer, GAN, and DDPG, for…
  pubmed Liu L, Li X, Meng L, Zhao Y 等 2026 置信度 0.82
• Deep neural network-based coupling model of inter-organizational knowledge flow and agent collaborative decision-making.
  Inter-organizational knowledge flow and agent collaborative decision-making constitute mutually interdependent processes critical for organizational performance in complex environments. This study proposes a novel deep neural network-based framework that expli…
  pubmed Li M, Yu W, Li Y 2026 Feb 2 置信度 0.82
• Levels of shared autonomy in brain-robot interfaces: enabling multi-robot multi-human collaboration for activities of daily living.
  Individuals with ALS and other severe motor impairments often rely on caregivers for daily tasks, which limits their independence and sense of control. Brain-robot interfaces (BRIs) have the potential to restore autonomy, but many existing systems are task-spe…
  pubmed Douglas H, Di Vincenzo M, Dossa RFJ, Nunziante L 等 2025 置信度 0.82
• How do dialysis nurses and AI reason clinically? A scenario-based comparative study.
  BACKGROUND: Dialysis nurses routinely make high-stakes clinical decisions under conditions of uncertainty, balancing protocol-based guidelines with contextual and experiential judgment. Recent advances in artificial intelligence (AI) raise questions regarding …
  pubmed Orkaby B, Segev R, Saban M 2026 Jan 31 置信度 0.82
• AoI-Aware Data Collection in Heterogeneous UAV-Assisted WSNs: Strong-Agent Coordinated Coverage and Vicsek-Driven Weak-Swarm Control.
  Unmanned aerial vehicle (UAV) swarms offer an efficient solution for data collection from widely distributed ground users (GUs). However, incomplete environment information and frequent changes make it challenging for standard centralized planning or pure rein…
  pubmed Huang L, Li L, Zhao S, Qu D 等 2026 Jan 8 置信度 0.82
• Privacy-Preserving Average-Tracking Control for Multi-Agent Systems with Constant Reference Signals.
  This paper addresses the average-tracking control problem for multi-agent systems subject to constant reference signals. By introducing auxiliary signals generated from the states and delayed states of agents, a novel privacy-preserving integral-type average-t…
  pubmed Jiang W, Liu CL 2026 置信度 0.82
• End-to-end emergency response protocol for tunnel accidents augmentation with reinforcement learning.
  Autonomous unmanned aerial vehicles (UAVs) offer cost-effective and flexible solutions for a wide range of real-world applications, particularly in hazardous and time-critical environments. Their ability to navigate autonomously, communicate rapidly, and avoid…
  pubmed Ur Rehman HMR, Gul MJ, Younas R, Jhandir MZ 等 2026 置信度 0.82