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• Fault-tolerant formation control of heterogeneous multi-agent systems with unknown inputs and external disturbances.
  This paper displays an optimal fault-tolerant formation control method, which is applied to a heterogeneous multi-agent system(HMAS) consisting of multiple uncrewed aerial vehicles (UAVs) and uncrewed ground vehicles (UGVs), solving the problem of UAVs and UGV…
  pubmed Li Y, Liu Y, Zhu L, Guo Y 2025 Jul 1 置信度 0.82
• A naturalistic trajectory dataset with dense interaction for autonomous driving.
  Driving interaction, a critical yet underrepresented element in trajectory datasets, is central to the development and evaluation of autonomous driving systems. This work presents InterHub, a curated dataset of dense multi-agent interaction events, derived fro…
  pubmed Jiang X, Zhao X, Liu Y, Li Z 等 2025 Jul 1 置信度 0.82
• Behavioral Strategizing Among Animals: A Systems Approach.
  Examples of behavioral strategizing exist throughout the animal kingdom, but the quantification and analysis of these complex behavioral patterns remain a challenge. Classic research in this realm often relies either on methods that intentionally simplify comp…
  pubmed Moody NM, Fuxjager MJ 2025 Sep 26 置信度 0.82
• Consensus seeking in large-scale multi-agent systems with homogeneous connections by incorporating two-hop neighbor states.
  The development of multi-agent consensus raises the importance of network topology. As the number of agents increases, multi-agent systems (MAS) in a large-scale and high-density topology demand higher resources, which consequently degrades efficiency of conse…
  pubmed Xie G, Shen C, Li Y, Feng Y 等 2025 Oct 置信度 0.82
• Promoting collective cooperation through temporal interactions.
  Collective cooperation maintains the function of many natural and social systems, making understanding the evolution of cooperation a central question of modern science. Although human interactions involve complex contact networks, current explorations are lim…
  pubmed Meng Y, McAvoy A, Li A 2025 Jul 置信度 0.82
• Neural-network-based event-triggered adaptive secure fault-tolerant containment control for nonlinear multi-agent systems under denial-of-service attacks.
  Under the framework of backstepping theory, dealing with the non-differentiable problem of virtual control signals caused by sensor output triggering is difficult. Meanwhile, it is of great practical significance to consider problems of output triggering, mult…
  pubmed Wu X, Ding S, Zhao N, Wang H 等 2025 Nov 置信度 0.82
• Lipschitz-Nonlinear Heterogeneous Multi-Agent Adaptive Distributed Time-Varying Formation-Tracking Control with Jointly Connected Topology.
  This paper studies the problem of time-varying formation-tracking control for a class of nonlinear multi-agent systems. A distributed adaptive controller that avoids the global non-zero minimum eigenvalue is designed for heterogeneous systems in which leaders …
  pubmed Zhu L, Huang Y, Li Y, Cai H 等 2025 Jun 17 置信度 0.82
• Event-triggered consensus of multi-agent systems with uncertain control gain via distributed fuzzy logic observer.
  An event-triggered adaptive backstepping control methodology is proposed to achieve leader-following consensus of uncertain nonlinear high-order multi-agent systems with unknown control gains. In light of the partial observability limitation, adaptive distribu…
  pubmed Xie K, Zhao X, Chen S, Zhang Z 等 2025 Oct 置信度 0.82
• Multi-Agent Reinforcement Learning in Games: Research and Applications.
  Biological systems, ranging from ant colonies to neural ecosystems, exhibit remarkable self-organizing intelligence. Inspired by these phenomena, this study investigates how bio-inspired computing principles can bridge game-theoretic rationality and multi-agen…
  pubmed Li H, Yang P, Liu W, Yan S 等 2025 Jun 6 置信度 0.82
• Conceptual design of a decision knowledge service model integrating a multi-agent supply relationship diagram for electric power emergency equipment.
  The decision regarding the supply of emergency equipments for power emergencies requires timeliness, efficiency, and accuracy. The multi-agent supply relationship graph, based on complex data fusion, enables the comprehensive exploration of interconnections am…
  pubmed Si J, Liu C, Ye J, Wu J 等 2025 置信度 0.82
• Dual-layer coordination framework for urban mining: Integration of social network analysis and multi-agent systems.
  Urban mining recovery and reuse involve a complex system of multiple agents with independent interests across different stages. This study examines the dual-layer coordination among four key agents-supplying, recycling and sorting, reuse, and regulatory-using …
  pubmed Chen L, Gao M, Liang K, Appolloni A 2025 Aug 置信度 0.82
• Time-varying formation control for heterogeneous multi-agent systems in the presence of actuator faults and deception attacks.
  This paper explores the control of time-varying formations in a class of heterogeneous multi-agent systems. The key innovation lies in the simultaneous consideration of hybrid actuator faults and deception attacks. To achieve the control objective, a novel dis…
  pubmed Cao S, Yin Y, Li W, Liu Z 等 2025 Oct 置信度 0.82
• Dynamic formation tracking and fault-tolerant control of multi-agent systems based on distance and topology reconstruction methods.
  This paper introduces a distributed approach for dynamic formation tracking and formation fault-tolerant control within the port-Hamiltonian energy framework for multi-agent system (MAS) affected by Coulomb friction. The coupling relationships between agents a…
  pubmed Liu L, Yu C, Wang Y, Wen J 等 2025 Oct 置信度 0.82
• Convergent adaptive control based prescribed-time synchronization of switched fuzzy competitive network systems with time-varying delays.
  This paper addresses the prescribed-time control problem for discontinuous fuzzy neutral-type competitive neural networks (FNTCNNs) featuring switchings and time-varying delays. Notably, FNTCNNs constitute a generalized class of singularly perturbed Filippov s…
  pubmed Gao D, Kong F, Huang T 2025 Oct 置信度 0.82
• Covid-19 in hospitals: Studying influencing factors through agent-based modelling.
  Hospitals are highly dynamic environments where Covid-19 is highly transmissible if effective measures are not taken. General preventive policies are not necessarily effective; however, agent-based modelling can offer a way to tailor policies in such specific …
  pubmed Michaelides P, Sarkadi Ş 2025 置信度 0.82
• Foundation models and intelligent decision-making: Progress, challenges, and perspectives.
  Intelligent decision-making (IDM) is a cornerstone of artificial intelligence (AI) designed to automate or augment decision processes. Modern IDM paradigms integrate advanced frameworks to enable intelligent agents to make effective and adaptive choices and de…
  pubmed Huang J, Xu Y, Wang Q, Wang QC 等 2025 Jun 2 置信度 0.82
• Graph attention networks based multi-agent path finding via temporal-spatial information aggregation.
  An effective Multi-Agent Path Finding (MAPF) algorithm must efficiently plan paths for multiple agents while adhering to constraints, ensuring safe navigation from start to goal. However, due to partial observability, agents often struggle to determine optimal…
  pubmed Zhang Q, Wang P, Ni C, Liu X 2025 置信度 0.82
• Data prioritization aware resource allocation in internet of vehicles using multi-agent deep reinforcement learning.
  Intelligent transportation systems (ITS) are facing the limitation of spectral resources and stringent real time communication requirements. How to effectively allocate system resources for maximizing the performance in Internet of Vehicles (IoV) is still a su…
  pubmed Wang C, Guan Y, Peng S, Chen H 等 2025 Oct 置信度 0.82
• Development of a data-driven urban immunity assessment model: providing a new benchmark for urban governance under public health emergencies.
  Public health emergencies (PHEs) pose significant challenges to global urban governance systems, necessitating the establishment of more efficient and dynamically adaptive response mechanisms. Numerous cases indicate that current urban governance still faces t…
  pubmed Cui P, Cao S, Qin R, Zhang F 2025 置信度 0.82
• AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts.
  Effective patient monitoring is crucial for timely healthcare interventions and improved outcomes, especially in managing conditions influenced by stress and depression, which can manifest through physiological changes. Traditional monitoring systems often str…
  pubmed Shaik T, Tao X, Li L, Xie H 等 2025 Jun 9 置信度 0.82
• Curriculum check, 2025-equipping radiology residents for AI challenges of tomorrow.
  The exponential rise in the artificial intelligence (AI) tools for medical imaging is profoundly impacting the practice of radiology. With over 1000 FDA-cleared AI algorithms now approved for clinical use-many of them designed for radiologic tasks-the responsi…
  pubmed Venugopal VK, Kumar A, Tan MO, Szarf G 2025 Dec 置信度 0.82
• Distributed formation control for port-Hamiltonian multi-agent systems by average state estimation.
  In recent years, propelled by the rapid development of information technology and the Internet, the formation control of multi-agent systems has gradually emerged as a research hotspot. This paper focuses on the formation control problem of multi-agent mechani…
  pubmed Zhao J, Wu Y, Guo Y, Li Z 2025 Sep 置信度 0.82
• Collective predictive coding as model of science: formalizing scientific activities towards generative science.
  This article proposes a new conceptual framework called collective predictive coding as a model of science (CPC-MS ) to formalize and understand scientific activities. Building on the idea of CPC originally developed to explain symbol emergence, CPC-MS models …
  pubmed Taniguchi T, Takagi S, Otsuka J, Hayashi Y 等 2025 Jun 置信度 0.82
• Multi-agent systems powered by large language models: applications in swarm intelligence.
  This work examines the integration of large language models (LLMs) into multi-agent simulations by replacing the hard-coded programs of agents with LLM-driven prompts. The proposed approach is showcased in the context of two examples of complex systems from th…
  pubmed Jimenez-Romero C, Yegenoglu A, Blum C 2025 置信度 0.82
• Aptamers in Combination Therapies for Enhanced Radiosensitization in Cancer.
  This review explores the emerging role of aptamers in enhancing radiotherapy (RT) efficacy through their ability to target tumor sites with high specificity. Cancer, a complex disease, involves uncontrolled cell growth, and radiosensitization refers to the pro…
  pubmed Bemidinezhad A, Abolhassani Y, Sarabian Tabrizi A, Noroozi-Karimabad M 等 2025 Jan 置信度 0.82
• Corrigendum to "Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems" [Neural Networks 187 (2025) 107412].
  pubmed Li Y, Liu J, Jia L, Yin L 等 2025 Oct 置信度 0.82
• A deep learning and IoT-driven framework for real-time adaptive resource allocation and grid optimization in smart energy systems.
  The rapid evolution of smart grids, driven by rising global energy demand and renewable energy integration, calls for intelligent, adaptive, and energy-efficient resource allocation strategies. Traditional energy management methods, based on static models or h…
  pubmed Singh AR, Sujatha MS, Kadu AD, Bajaj M 等 2025 Jun 2 置信度 0.82
• Economic implications of artificial intelligence-driven recommended systems in healthcare: a focus on neurological disorders.
  The rapid advancement of Artificial Intelligence (AI)-driven recommendation systems in healthcare presents significant economic implications, particularly in the context of neurological disorders. These systems offer opportunities to enhance diagnostic accurac…
  pubmed Zhang J, Xiang S, Li L 2025 置信度 0.82
• Co-Learning: code learning for multi-agent reinforcement collaborative framework with conversational natural language interfaces.
  Online question-and-answer (Q&A) systems based on the Large Language Model (LLM) have progressively diverged from recreational to professional use. However, beginners in programming often struggle to correct code errors independently, limiting their learni…
  pubmed Yu J, Wu Y, Zhan Y, Guo W 等 2025 置信度 0.82
• Self-triggered load frequency control using T-S fuzzy ADP method for unknown power systems.
  Frequency oscillations in interconnected power systems result from the inherent randomness of renewable energy production and fluctuating power load demands. Load frequency control (LFC) has thus emerged as a primary challenge for maintaining power system stab…
  pubmed Ming Z, Zhang H, Sun J 2025 Aug 置信度 0.82
• Fixed-Time Cooperative Formation Control of Heterogeneous Systems Under Multiple Constraints.
  This paper proposes a fixed-time formation-tracking control problem for a heterogeneous multi-agent system (MAS) consisting of six unmanned aerial vehicles (UAVs) and three unmanned ground vehicles (UGVs) under actuator attacks, external disturbances, and inpu…
  pubmed Li Y, Zhao W, Zhu L, Zhang Z 等 2025 May 17 置信度 0.82
• Advances in Zeroing Neural Networks: Bio-Inspired Structures, Performance Enhancements, and Applications.
  Zeroing neural networks (ZNN), as a specialized class of bio-Iinspired neural networks, emulate the adaptive mechanisms of biological systems, allowing for continuous adjustments in response to external variations. Compared to traditional numerical methods and…
  pubmed Wang Y, Hua C, Khan AH 2025 Apr 29 置信度 0.82
• Three-dimensional robust prescribed-time cooperative guidance for leader-follower strategy based on state observer: Simultaneous attack with impact angle control.
  This paper proposes a robust Prescribed-Time Cooperative Guidance (PTCG) method for leader-follower interceptors, enabling simultaneous attacks on maneuvering targets in Three-Dimensional (3D) space while satisfying impact angle constraint. Existing methods, s…
  pubmed Fazeliasl SB, Moosapour SS, Mobayen S 2025 Aug 置信度 0.82
• Multi-Agent-Network-Based Idea Generator for Zinc-Ion Battery Electrolyte Discovery: A Case Study on Zinc Tetrafluoroborate Hydrate-Based Deep Eutectic Electrolytes.
  Aqueous deep eutectic electrolytes (DEEs) offer great potential for low-cost zinc-ion batteries but often have limited performance. Discovering new electrolytes is therefore crucial, yet time-consuming and resource-intensive. In response, this work presents a …
  pubmed Robson MJ, Xu S, Wang Z, Chen Q 等 2025 Aug 置信度 0.82
• Multi-agent cooperative swarm learning for dynamic layout optimisation of reconfigurable robotic assembly cells based on digital twin.
  To meet the requirement of product variety and short production cycle, reconfigurable manufacturing system is considered as an effective solution in addressing current challenges, such as increasing customisation, high flexibility and dynamic market demand. Dy…
  pubmed Wang L, Wang Z, Gumma K, Turner A 等 2025 置信度 0.82
• Consideration of communication in human-machine interaction for cooperative trajectory planning.
  Interactive human-machine systems aim to significantly enhance performance and reduce human workload by leveraging the combined strengths of humans and automated systems. In the state of the art, human-machine cooperation (HMC) systems are modeled in various i…
  pubmed Schneider J, Varga B, Hohmann S 2025 置信度 0.82
• Multi-agent self-attention reinforcement learning for multi-USV hunting target.
  A reinforcement learning (RL) method based on the multi-head self-attention (MSA) mechanism is proposed to solve the challenge of multiple unmanned surface vehicles (multi-USV) hunting target at the surface. The kinematic, dynamic, and environmental models of …
  pubmed Xue S, Zhao N, Wang L, Zhang W 等 2025 Sep 置信度 0.82
• Multi-Agent Approach for Sepsis Management.
  The high incidence of sepsis necessitates the development of practical decision-making tools for intensivists, especially during the early, critical phases of management. This study evaluates a multi-agent system intended to assist clinicians with antibiotic t…
  pubmed Iapascurta V, Fiodorov I, Belii A, Bostan V 2025 Apr 置信度 0.82
• LITERAS: Biomedical literature review and citation retrieval agents.
  Existing tools for reference retrieval using large language models (LLMs) frequently generate inaccurate, gray literature or fabricated citations, leading to poor accuracy. In this study, we aim to address this gap by developing a highly accurate reference ret…
  pubmed Gorenshtein A, Shihada K, Sorka M, Aran D 等 2025 Jun 置信度 0.82
• Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form.
  This paper is concerned with the fixed-time containment control problem for high-order MIMO nonlinear multi-agent systems with external disturbances and actuator faults. First, in the backstepping framework, a neuroadaptive fixed-time containment control proto…
  pubmed Lv H, Liu D, Sun K, Zhu B 2025 Sep 置信度 0.82
• Interruption-Aware Computation Offloading in the Industrial Internet of Things.
  Designing an efficient task offloading system is essential in the Industrial Internet of Things (IIoT). Owing to the limited computational capability of IIoT devices, offloading tasks to edge servers enhances computational efficiency. When an edge server is ov…
  pubmed Bui KA, Yoo M 2025 May 4 置信度 0.82
• Enhancing Airport Traffic Flow: Intelligent System Based on VLC, Rerouting Techniques, and Adaptive Reward Learning.
  Airports are complex environments where efficient localization and intelligent traffic management are essential for ensuring smooth navigation and operational efficiency for both pedestrians and Autonomous Guided Vehicles (AGVs). This study presents an Artific…
  pubmed Vieira M, Vieira MA, Galvão G, Louro P 等 2025 Apr 30 置信度 0.82
• Channel and Power Allocation for Multi-Cell NOMA Using Multi-Agent Deep Reinforcement Learning and Unsupervised Learning.
  Among the 5G and anticipated 6G technologies, non-orthogonal multiple access (NOMA) has attracted considerable attention due to its notable advantages in data throughput. Nevertheless, it is challenging to find the near-optimal allocation of the channel and po…
  pubmed Sun M, Zhong Y, He X, Zhang J 2025 Apr 25 置信度 0.82
• Multi-agent norm perception and induction in distributed healthcare.
  This paper presents a Multi-Agent Norm Perception and Induction Learning Model aimed at facilitating the integration of autonomous agent systems into distributed healthcare environments through dynamic interaction processes. The nature of the medical norm syst…
  pubmed Li C, Petruchik O, Grishanina E, Kovalchuk S 2025 Jun 置信度 0.82
• Human control of AI systems: from supervision to teaming.
  This article reviews two main approaches to human control of AI systems: supervisory human control and human-machine teaming. It explores how each approach defines and guides the operational interplay between human behaviour and system behaviour to ensure that…
  pubmed Tsamados A, Floridi L, Taddeo M 2025 置信度 0.82
• Autonomous air combat decision making via graph neural networks and reinforcement learning.
  With the rapid advancement of technology, aerial interaction patterns have become increasingly complex, making intelligent air combat a prominent and cutting-edge research area in multi-agent systems. In this context, the dynamic and uncertain nature of large-…
  pubmed Huo L, Wang C, Han Y 2025 May 9 置信度 0.82
• Fixed-time cluster consensus for multi-agent systems via event-triggered control.
  This paper focuses on the fixed-time (FXT) cluster consensus of multi-agent systems (MASs) with nonlinear dynamics and uncertain disturbances, in which the network topology contains both cooperative and competitive relationships. First, a novel static event-tr…
  pubmed Duan S, Yu Z, Jiang H, Liu S 2025 Jul 置信度 0.82
• Influence Enhanced Sparse Coordination Graphs for Multi-Agent Reinforcement Learning.
  In contemporary Multi-Agent Reinforcement Learning (MARL), effectively enhancing the expressive capacity of value functions has been a persistent research focus. Many studies have employed value decomposition methods; however, due to the neglect of inter-agent…
  pubmed Zhang X, Chen J, Gan MG, Chen H 2025 Aug 置信度 0.82
• Automating Evaluation of AI Text Generation in Healthcare with a Large Language Model (LLM)-as-a-Judge.
  Electronic Health Records (EHRs) store vast amounts of clinical information that are difficult for healthcare providers to summarize and synthesize relevant details to their practice. To reduce cognitive load on providers, generative AI with Large Language Mod…
  pubmed Croxford E, Gao Y, First E, Pellegrino N 等 2025 May 6 置信度 0.82
• A framework for establishing shared, task-oriented understanding in hybrid open multi-agent systems.
  In Open Multi-Agent Systems (OMAS), the open nature of such systems precludes that all communication protocols are hardwired in advance. It is therefore essential that agents can incrementally learn to understand each other. Ideally, this is done with a minima…
  pubmed Kondylidis N, Tiddi I, Ten Teije A 2025 置信度 0.82
• Study on sustainable transportation mode of medical waste in big city hospitals based on the multi-agent modeling method.
  BackgroundMedical waste should be collected, classified, and transported to the treatment plant within 48 h. If it is not disposed of in time, it will cause cross-infection, increasing the risk of disease transmission and environmental pollution. How to…
  pubmed Liu H, Meijer S, Yao Z 2025 Sep 置信度 0.82
• A labeled synthetic mobile money transaction dataset.
  This data article introduces a labeled synthetic mobile money transaction dataset created using MoMTSim, a multi-agent-based simulation platform designed and validated specifically for mobile money transactions. MoMTSim toolkit simulates mobile money interacti…
  pubmed Azamuke D, Katarahweire M, Bainomugisha E 2025 Jun 置信度 0.82
• DruGagent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction.
  Advancements in large language models (LLMs) allow them to address diverse questions using human-like interfaces. Still, limitations in their training prevent them from answering accurately in scenarios that could benefit from multiple perspectives. Multi-agen…
  pubmed Inoue Y, Song T, Wang X, Luna A 等 2025 Apr 7 置信度 0.82
• Human intergroup coordination in a hierarchical multi-agent sensorimotor task arises from concurrent co-optimization.
  Division of labor and specialization are common principles observed across all levels of biological organisms and societies, including humans that often rely on specialized roles to achieve a shared goal in complex coordination tasks. Understanding these princ…
  pubmed Schmid G, Braun DA 2025 Apr 28 置信度 0.82
• Toward Collaborative Autonomous Driving: Simulation Platform and End-to-End System.
  Vehicle-to-everything-aided autonomous driving (V2X-AD) has a huge potential to provide a safer driving solution. Despite extensive research in transportation and communication to support V2X-AD, the actual utilization of these infrastructures and communicatio…
  pubmed Liu G, Hu Y, Xu C, Mao W 等 2025 Aug 置信度 0.82
• Process Knowledge-Guided Optimization Control for Once-Through Boiler-Turbine Units Based on Multi-Agent Reinforcement Learning.
  For the coal-fired power unit, traditional centralized optimization control frameworks face challenges in achieving fast load response due to heavy computation and long online calculation times, especially for devices with limited computing power. This paper p…
  pubmed Dai B, Chang Y, Xu S, Wang F 2025 Apr 22 置信度 0.82
• Multi-Agent Deep Reinforcement Learning for Integrated Demand Forecasting and Inventory Optimization in Sensor-Enabled Retail Supply Chains.
  The retail industry faces increasing challenges in matching supply with demand due to evolving consumer behaviors, market volatility, and supply chain disruptions. While existing approaches employ statistical and machine learning methods for demand forecasting…
  pubmed Yang Y, Wang M, Wang J, Li P 等 2025 Apr 11 置信度 0.82
• A Deep Reinforcement Learning and Graph Convolution Approach to On-Street Parking Search Navigation.
  Efficient parking distribution is crucial for urban traffic management; nevertheless, variable demand and spatial disparities raise considerable obstacles. Current research emphasizes local optimization but neglects the fundamental challenges of real-time park…
  pubmed Zhao X, Yan Y 2025 Apr 9 置信度 0.82
• Free-will arbitrary time optimization for multi-agent systems with time-varying function.
  The article investigates the problem of free-will arbitrary-time optimization for multi-agent systems. This refers to an optimization algorithm that not only urges all agents to come to a consensus but also collaboratively minimizes the sum of their individual…
  pubmed Wu J, Tang W, Lei W, Xie Y 等 2025 Jul 置信度 0.82
• FROM: A Fish Recognition-Inspired Optimization Method for Multi-Agent Decision-Making Problems with a Fluid Environment.
  Underwater multi-agent systems face critical hydrodynamic constraints that significantly degrade the performance of conventional constraint optimization algorithms in dynamic fluid environments. To meet the needs of underwater multi-agent applications, a fish …
  pubmed Wang Y, Sun L 2025 Apr 2 置信度 0.82
• Adaptive observer-based bipartite tracking consensus for nonlinear multi-agent systems with unknown sensor failures.
  This paper investigates the bipartite tracking consensus (BTC) problem for a broad class of nonlinear multi-agent systems (NMASs) with and without unknown sensor failures. In order to relax the constraint on nonlinear dynamics in signed graph, a general lemma …
  pubmed Chen Y, Xu H, Lin Z, Li Z 等 2025 Jun 置信度 0.82
• LLMs and AI Life Models for Traditional Chinese Medicine-derived Geroprotector Formulation.
  Traditional Chinese Medicine (TCM) represents a vast repository of therapeutic knowledge, but its integration with modern drug discovery remains challenging due to fundamental differences in theoretical frameworks. We developed an AI agent-driven framework com…
  pubmed Galkin F, Ren F, Zhavoronkov A 2025 Apr 9 置信度 0.82
• Impact of charging infrastructure construction on electric vehicle diffusion based on a multi-agent model.
  To explore the impact of charging infrastructure on electric vehicles (EVs) diffusion, a multi-agent model of EVs-charging infrastructure construction (EV-CIC) is established based on complex adaptive system (CAS). The simulation examines four infrastructure f…
  pubmed Zheng Y, Liu D, An F, Wang J 等 2025 Apr 18 置信度 0.82
• [Crisis Transformation of the Coupling Effect of Building Carbon Reduction-Environmental Protection-Economic Development System in China].
  Exploring the spatio-temporal evolution and coordinated developmental level of the building carbon reduction-environmental protection-economic development system and analyzing the risks and opportunities of building carbon emission management are crucial for a…
  pubmed Yang Q, Wang JM, Liu XX, Fu LM 等 2025 Apr 8 置信度 0.82
• Circumventing glioblastoma resistance to temozolomide through optimal drug combinations designed by systems pharmacology and machine learning.
  Glioblastoma (GBM), the most frequent and aggressive brain tumour in adults, is associated with a dismal prognostic despite intensive treatment involving surgery, radiotherapy and temozolomide (TMZ)-based chemotherapy. The initial or acquired resistance of GBM…
  pubmed Corridore S, Verreault M, Martin H, Delobel T 等 2025 Aug 置信度 0.82
• Multi-User Opportunistic Spectrum Access for Cognitive Radio Networks Based on Multi-Head Self-Attention and Multi-Agent Deep Reinforcement Learning.
  Aiming to address the issue of multi-user dynamic spectrum access in an opportunistic mode in cognitive radio networks leading to low sum throughput, we propose a multi-user opportunistic spectrum access method based on multi-head self-attention and multi-agen…
  pubmed Bai W, Zheng G, Xia W, Mu Y 等 2025 Mar 24 置信度 0.82
• Artificial intelligence orchestration for text-based ultrasonic simulation via self-review by multi-large language model agents.
  Widely used ultrasonic simulation systems often rely on complex graphical user interfaces (GUIs) or scripting, resulting in substantial time investments and reduced accessibility for new users. In this study, we propose a novel text-based simulation control ar…
  pubmed Kim S, Yu Y, Seo H 2025 置信度 0.82
• Pediatric CNS tumors: Overview and treatment paradigms.
  Central nervous system (CNS) tumors represent the most common solid tumors occurring in children, with gliomas, medulloblastomas and ependymomas being the most frequently diagnosed. The most recent 2021 World Health Organization (WHO) Classification of Tumors …
  pubmed Parikh K, Sait SF 2025 Apr 置信度 0.82
• MMAgentRec, a personalized multi-modal recommendation agent with large language model.
  In multimodal recommendation, various data types, including text, images, and user dialogues, are utilized. However, it faces two primary challenges. Firstly, identifying user requirements is challenging due to their inherent complexity and diverse intentions.…
  pubmed Xiao X 2025 Apr 8 置信度 0.82
• Flip Learning: Weakly supervised erase to segment nodules in breast ultrasound.
  Accurate segmentation of nodules in both 2D breast ultrasound (BUS) and 3D automated breast ultrasound (ABUS) is crucial for clinical diagnosis and treatment planning. Therefore, developing an automated system for nodule segmentation can enhance user independe…
  pubmed Huang Y, Chang A, Dou H, Tao X 等 2025 May 置信度 0.82
• A distributed penalty-based zeroing neural network for time-varying optimization with both equality and inequality constraints and its application to cooperative control of redundant robot manipulators.
  This study addresses the distributed optimization problem with time-varying objective functions and time-varying constraints in a multi-agent system (MAS). To tackle the distributed time-varying constrained optimization (DTVCO) problem, each agent in the MAS c…
  pubmed He L, Cheng H, Zhang Y 2025 置信度 0.82
• IAN: An Intelligent System for Omics Data Analysis and Discovery.
  IAN is an R package that addresses the challenge of integrating, analyzing and interpreting high-throughput "omics" data, using a multi-agent artificial intelligence (AI) system. IAN leverages popular pathway and regulatory datasets (KEGG, WikiPathways, Reacto…
  pubmed Nagarajan V, Shi G, Horai R, Yu CR 等 2025 置信度 0.82
• Shared autonomy between human electroencephalography and TD3 deep reinforcement learning: A multi-agent copilot approach.
  Deep reinforcement learning (RL) algorithms enable the development of fully autonomous agents that can interact with the environment. Brain-computer interface (BCI) systems decipher human implicit brain signals regardless of the explicit environment. We propos…
  pubmed Phang CR, Hirata A 2025 Apr 置信度 0.82
• Multilabel Classification for Entry-Dependent Expert Selection in Distributed Gaussian Processes.
  By distributing the training process, local approximation reduces the cost of the standard Gaussian process. An ensemble method aggregates predictions from local Gaussian experts, each trained on different data partitions, under the assumption of perfect diver…
  pubmed Jalali H, Kasneci G 2025 Mar 14 置信度 0.82
• Bilingual Dialogue Dataset with Personality and Emotion Annotations for Personality Recognition in Education.
  Dialogue datasets are essential for advancing natural language processing (NLP) tasks. However, many existing datasets lack integrated annotations for personality and emotion, limiting models' ability to effectively capture these aspects and generate personali…
  pubmed Liu Z, Xiao Y, Su Z, Ye L 等 2025 Mar 27 置信度 0.82
• Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems.
  Zeroing neural networks (ZNNs) are commonly used for dynamic matrix equations, but their performance under numerically unstable conditions has not been thoroughly explored, especially in situations involving unequal row-column matrices. The challenge is furthe…
  pubmed Li Y, Liu J, Jia L, Yin L 等 2025 Jul 置信度 0.82
• Cognitive intelligence routing protocol for disaster management and underwater communication system in underwater acoustic network.
  Future communication paradigms, such as 6G networks, emphasize self-sustainability, intelligent networking, and secure, adaptive communication. This research presents an innovative routing framework tailored for Underwater Sensor Networks (UWSNs) and Underwate…
  pubmed Saleem K, Wang L, Almogren A, Ntizikira E 等 2025 Mar 23 置信度 0.82
• Event-triggered iterative learning control for output constrained multi-agent systems.
  An event-triggered iterative learning consensus tracking control strategy is proposed for output constrained nonlinear discrete-time multi-agent systems. Firstly, the estimated Pseudo partial derivative(PPD) algorithm is determined based on the input and outpu…
  pubmed Cao W, Li H, Qiao J, Zhu Y 2025 置信度 0.82
• Cloud-enabled e-commerce negotiation framework using bayesian-based adaptive probabilistic trust management model.
  Enforcing a trust management model in the broker-based negotiation context is identified as a foremost challenge. Creating such trust model is not a pure technical issue, but the technology should enhance the cloud service negotiation framework for improving t…
  pubmed Rajavel R, Krishnasamy L, Nagappan P, Moorthy U 等 2025 Mar 19 置信度 0.82
• An innovative agent-based technique for determination of tortuosity in porous materials - Case study: bread and bread dough.
  Tortuosity is an important structural parameter of porous materials, and it is the ratio of the actual distance between two points to the shortest linear distance between them. In the current work, we illustrate the employment of Brownian motion principles for…
  pubmed Ghaitaranpour A, Mohebbi M, Koocheki A 2025 置信度 0.82
• Bipartite Fault-Tolerant Consensus Control for Multi-Agent Systems with a Leader of Unknown Input Under a Signed Digraph.
  This paper addresses the bipartite consensus problem of signed directed multi-agent systems (MASs) subject to actuator faults. This problem plays a crucial role in various real-world systems where agents exhibit both cooperative and competitive interactions, s…
  pubmed Liu A, Zhang W, Yue D, Chen C 等 2025 Mar 3 置信度 0.82
• Deep Reinforcement Learning-Based Secrecy Rate Optimization for Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface-Assisted Unmanned Aerial Vehicle-Integrated Sensing and Communication Systems.
  This study investigates security issues in a scenario involving a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-assisted unmanned aerial vehicle (UAV) with integrated sensing and communication (ISAC) functionality (UA…
  pubmed Wang J, Chen S 2025 Mar 2 置信度 0.82
• Self-Organizing Wireless Sensor Networks Solving the Coverage Problem: Game-Theoretic Learning Automata and Cellular Automata-Based Approaches.
  In this paper, we focus on developing self-organizing algorithms aimed at solving, in a distributed way, the coverage problem in Wireless Sensor Networks (WSNs). For this purpose, we apply a game-theoretical framework based on an application of a variant of th…
  pubmed Seredynski F, Szaban M, Skaruz J, Switalski P 等 2025 Feb 27 置信度 0.82
• A Review of Multi-Robot Systems and Soft Robotics: Challenges and Opportunities.
  This review investigates the latest advancements in Multi-Robot Systems (MRSs) and soft robotics, with a particular focus on their integration and emerging opportunities. An MRS extends principles from distributed artificial intelligence and coordination frame…
  pubmed Tejada JC, Toro-Ossaba A, López-Gonzalez A, Hernandez-Martinez EG 等 2025 Feb 22 置信度 0.82
• PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control.
  Multi-Agent Reinforcement Learning (MARL) presents a promising approach for addressing the complexity of Traffic Signal Control (TSC) in urban environments. However, existing platforms for MARL-based TSC research face challenges such as slow simulation speeds …
  pubmed Bokade R, Jin X 2025 Feb 20 置信度 0.82
• Multi-agent large language model frameworks: Unlocking new possibilities for optimizing wastewater treatment operation.
  Wastewater treatment plants (WWTPs) are highly complex systems where biological, chemical, and physical processes interact dynamically, creating significant operational challenges. Traditional modeling approaches, such as Activated Sludge Models (ASMs) and mac…
  pubmed Rothfarb S, Friday M, Wang X, Zaghi A 等 2025 Jun 15 置信度 0.82
• A Multi-Agent and Attention-Aware Enhanced CNN-BiLSTM Model for Human Activity Recognition for Enhanced Disability Assistance.
  Background: Artificial intelligence (AI)-based automated human activity recognition (HAR) is essential in enhancing assistive technologies for disabled individuals, focusing on fall detection, tracking rehabilitation progress, and analyzing personalized moveme…
  pubmed Khatun MA, Yousuf MA, Turna TN, Azad A 等 2025 Feb 22 置信度 0.82
• A feasibility study of automating radiotherapy planning with large language model agents.
  Objective. Radiotherapy planning requires significant expertise to balance tumor control and organ-at-risk (OAR) sparing. Automated planning can improve both efficiency and quality. This study introduces GPT-Plan, a novel multi-agent system powered by the GPT-…
  pubmed Wang Q, Wang Z, Li M, Ni X 等 2025 Mar 21 置信度 0.82
• Distributed Cognitive Architecture (DCA) — Theory I: Atomic Agents · Fractal Composition · Convergence
  Distributed Cognitive Architecture (DCA) — Theory I develops the formal convergence theory for memory-augmented, multi-agent systems built around frozen Foundation Models. Genuine task-solving intelligence requires two dynamics that current Foundation Models l…
  datacite Wustlich, Welf 2026 置信度 0.66 WMC-AgentsConvergence theoryAttractor dynamicsLyapunov stabilityMulti-agent systems
• An Irreducible Dynamical Grammar for Minimal Living Systems: Synthesizing Non-Equilibrium Thermodynamics, Autopoietic Closure, Biosemiotics, and Grounded Heredity
  An Irreducible Dynamical Grammar for Minimal Living Systems Synthesizing Non-Equilibrium Thermodynamics, Autopoietic Closure, and Grounded Heredity Theoretical definitions of minimal life have historically bifurcated into two disjoint paradigms: the physiologi…
  datacite José Carlos Perales Quiroga 2026 置信度 0.66 Minimal lifeAutopoiesisNon-Equilibrium ThermodynamicsBiosemioticsSystems Biology
• An Irreducible Dynamical Grammar for Minimal Living Systems: Synthesizing Non-Equilibrium Thermodynamics, Autopoietic Closure, Biosemiotics, and Grounded Heredity
  An Irreducible Dynamical Grammar for Minimal Living Systems Synthesizing Non-Equilibrium Thermodynamics, Autopoietic Closure, and Grounded Heredity Theoretical definitions of minimal life have historically bifurcated into two disjoint paradigms: the physiologi…
  datacite José Carlos Perales Quiroga 2026 置信度 0.66 Minimal lifeAutopoiesisNon-Equilibrium ThermodynamicsBiosemioticsSystems Biology
• UrduGuard: Benchmarking and Detecting Urdu-Language Jailbreak and Prompt-Injection Attacks in Multi-Agent LLM Systems
  Jailbreak and prompt-injection defenses for large language models (LLMs) are trained and evaluated almost exclusively on English text, and recent work has shown that this leaves models vulnerable to the same attacks once translated into low-resource languages.…
  datacite Umer, Muhammad 2026 置信度 0.66 jailbreakprompt injectionlarge language modelsUrdumultilingual NLP
• UrduGuard: Benchmarking and Detecting Urdu-Language Jailbreak and Prompt-Injection Attacks in Multi-Agent LLM Systems
  Jailbreak and prompt-injection defenses for large language models (LLMs) are trained and evaluated almost exclusively on English text, and recent work has shown that this leaves models vulnerable to the same attacks once translated into low-resource languages.…
  datacite Umer, Muhammad 2026 置信度 0.66 jailbreakprompt injectionlarge language modelsUrdumultilingual NLP
• HIERARCHICAL-GRANULARITY HOLONIC MODELLING
  This thesis aims to introduce an agent-based system engineering approach, named Hierarchical-Granularity Holonic Modelling, to support intelligent information processing at multiple granularity levels. The focus is especially on complex hierarchical systems. N…
  datacite M. Calabrese 2011 置信度 0.66
• Winnex Maestro Module v2.0 — Enterprise AI Orchestration Hub: Marketplace, WorkRAI, Cronologia, Strategy Room, 4-Layer Validation (70 files, 18 entities)
  # Winnex Maestro Module — Enterprise AI Orchestration Hub ## The Complete Agent Marketplace, WorkRAI, Cronologia, Strategy Room, and RH Management System (~70 files, 18 JSON entities, 35+ processors) This is the **central orchestration module** of the Winnex M…
  datacite Padilha, Klenio Araujo 2026 置信度 0.66 enterprise AI orchestrationmarketplaceWorkRAICronologiaStrategy Room
• Winnex Maestro Module v2.0 — Enterprise AI Orchestration Hub: Marketplace, WorkRAI, Cronologia, Strategy Room, 4-Layer Validation (70 files, 18 entities)
  # Winnex Maestro Module — Enterprise AI Orchestration Hub ## The Complete Agent Marketplace, WorkRAI, Cronologia, Strategy Room, and RH Management System (~70 files, 18 JSON entities, 35+ processors) This is the **central orchestration module** of the Winnex M…
  datacite Padilha, Klenio Araujo 2026 置信度 0.66 enterprise AI orchestrationmarketplaceWorkRAICronologiaStrategy Room
• AI-HOS: An AI-Native Hospital Operating System with a Healthcare Agent Interaction Protocol for Context-Centric, Policy-Governed Clinical Workflow Orchestration
  Modern hospital information systems (HIS) and electronic health records (EHR) are designed around application modules, forms, and database records accessed through CRUD APIs by human users. This paper argues that this application-centric paradigm is structural…
  datacite Ramadan, Mohamed Salah 2026 置信度 0.66 AI-native hospital operating systemagentic AImulti-agent systemshealthcare AIhealthcare interoperability
• AI-HOS: An AI-Native Hospital Operating System with a Healthcare Agent Interaction Protocol for Context-Centric, Policy-Governed Clinical Workflow Orchestration
  Modern hospital information systems (HIS) and electronic health records (EHR) are designed around application modules, forms, and database records accessed through CRUD APIs by human users. This paper argues that this application-centric paradigm is structural…
  datacite Ramadan, Mohamed Salah 2026 置信度 0.66 AI-native hospital operating systemagentic AImulti-agent systemshealthcare AIhealthcare interoperability
• The Verification-Anchored Federation: Suppressing Silent Errors in Small Specialist Language Models with External Verification and Conformal Abstention
  Multi-agent and small-model LLM systems commonly try to obtain reliability by asking a network to evaluate itself: self-reflection, verbalized confidence, or trained refusal. The research record shows that this pattern is fragile. We describe the Verification-…
  datacite Pol, Amol 2026 置信度 0.66 verificationconformal predictionselective predictionabstentionhallucination
• Strix: Open-Source Autonomous AI Agents for Application Security Testing — Architecture, Multi-Agent Orchestration, Reporting, and Responsible Use
  Manual penetration testing does not scale with continuous delivery, while many static scanners flood teams with unverified alerts. Strix (strix-agent) is an open-source system of autonomous AI agents that perform authorised application security assessments: th…
  datacite Zmanovskii, Nikita 2026 置信度 0.66