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• Data-Driven Confrontation Game for Multi-Agent System Via Behavior Prediction
  In this paper, the confrontation game problem for multi-agent systems subject to rapidly changing environment, deception of attackers, and unknown dynamics of the multi-agent system, is addressed and applied to unmanned aerial vehicles. A fuzzy network-based p…
  crossref Xindi Wang, Zhenyu Ma, YangYang Zhao, Chuanshuo Cao 2025-10-10T17:34:54Z 置信度 0.70
• Hypertension and total-order forward decomposition optimizations
  Abstract Hierarchical Task Network (HTN) planners generate plans using a decomposition process with extra domain knowledge to guide search towards a planning task. Domain experts develop such domain knowledge through recipes of how to decompose higher level ta…
  crossref Maurício Cecílio Magnaguagno, Felipe Meneguzzi, Lavindra de Silva 2025-04-25T03:07:25Z 置信度 0.70
• Reflexive anticipatory reasoning by BDI agents
  crossref Jomi Fred Hübner, Samuele Burattini, Alessandro Ricci, Simon Mayer 2025-01-23T13:51:57Z 置信度 0.70
• Correction: Epistemic selection of costly alternatives: the case of participatory budgeting
  crossref Simon Rey, Ulle Endriss 2025-04-29T00:17:09Z 置信度 0.70
• Thermodynamic Particle Swarm Optimization for Multi-agent System in Unknown Environment
  In this paper, we address the multi-agent rendezvous problem using Particle Swarm Optimization (PSO). We developed a thermodynamic PSO (TPSO) algorithm, a distributed PSO algorithm where each agent functions as a particle within the problem space. Additionally…
  crossref Kavan Bojappa, Junsoo Lee 2025-12-22T14:10:18Z 置信度 0.70
• Blockchain-based Multi-agent System Framework for Collaborative Distributed Manufacturing System
  In recent years, new collaborative manufacturing models such as distributed manufacturing and social manufacturing have attracted much attention as they have the potential to further transform existing production models and industrial structures. Blockchain as…
  crossref Leonilde Varela, Goran Putnik, Vijaya Kumar Manupati 2025-06-03T12:32:07Z 置信度 0.70
• Adaptation Procedure in misinformation games
  Abstract We study interactions between agents in multi-agent systems, in which the agents are misinformed with regards to the game that they play, essentially having a subjective and incorrect understanding of the setting, without being aware of it. For that, …
  crossref Konstantinos Varsos, Merkouris Papamichail, Giorgos Flouris, Marina Bitsaki 2025-03-22T17:49:36Z 置信度 0.70
• Improving execution concurrency in partial-order plans via block-substitution
  crossref Sabah Binte Noor, Fazlul Hasan Siddiqui 2025-04-23T04:52:20Z 置信度 0.70
• Cyberattack Detection in Multi-Agent System Using Luenberger Observer Under FDI Attack
  In this paper, we address the secure consensus problem for multiple-input-multiple-output (MIMO) linear multiagent systems (MAS) under false data injection (FDI) attacks, where adversaries corrupt the exchanged output measurements between agents.For the purpos…
  crossref Rawaa Dkhil, Boumedyen Boussaid, Ahmed Zouinkhi, Mohamed Djemai 2026-04-16T19:51:19Z 置信度 0.70
• The Importance of Information Sharing in Multi-Agent Systems: Addressing Reinforcement Learning Challenges
  Many multi-agent systems (MASs) involve both cooperation and competition among agents. While some of these systems achieve near-optimal outcomes, others result in suboptimal performance and efficiency. The primary objective is to identify strategies that optim…
  crossref Arash Vesaghi, Mo Mansouri 2025-08-13T17:25:58Z 置信度 0.70
• Demo: A Real-time Multi-Agent Network Attack Detection and Incident Response System
  Network attacks have disrupted critical infrastructure and compromised important network operations worldwide for several decades. In spite of tremendous research outcomes based on various artificial intelligence techniques, current solutions still struggle to…
  crossref Arjun Sudheer, Chia-Hong Chou, Shubham Kumar 2025-08-27T18:20:22Z 置信度 0.70
• Abstract 4364623: Development of a Multi-Agent System for Cardiovascular Diagnostic
  This paper presents a multi-agent AI system designed to provide accurate diagnostic and personalized treatment recommendations for heart attack, heart failure, cardiac arrhythmia, coronary artery disease, and left ventricular hypertrophy. The system tackles th…
  crossref Sampson Kontomah, Tamanna Nahar 2025-11-03T10:23:13Z 置信度 0.70
• SHIELD: Distributed Cognitive-Based Multi-Agent Intelligent Detection and De-sensitization System for Sensitive Information
  crossref Boran Shao, Xudong Liu, Jiankai Rong 2026-04-28T19:45:57Z 置信度 0.70
• A Blockchain-Based Approach to Trust System Design in Multi-Agent Environments
  Introduction. This paper presents a decentralized approach to building a trust system for distributed multi-agent environments using blockchain technology. The developed system, TrustLedger, is based on Ethereum smart contracts, ERC-20 tokens, and token-weight…
  crossref Andrii Dovzhenko, Vadym Yaremenko 2025-10-02T19:32:36Z 置信度 0.70
• Multi-Agent Deep Reinforcement Learning for Task Offloading in LEO Satellite Networks
  In recent years, the rapid development of Low Earth Orbit (LEO) satellite networks has highlighted the need for enhanced data processing capabilities. However, the limited computational capacity and inherent heterogeneity of LEO satellites pose significant cha…
  crossref Sicheng Fan, Jingjing Zhang 2025-07-14T17:40:15Z 置信度 0.70
• State Estimation of the Preceding Vehicle with Data Loss and Parameter Perturbations
  Chapter 4 explores the estimation of the preceding vehicle's state in a connected environment, emphasizing event-triggered estimation, robust estimation methods, and their performance validation.
  crossref 2025-10-17T21:16:53Z 置信度 0.70
• FOMC <i>In Silico</i>: A Multi-Agent System for Monetary Policy Decision Modeling
  crossref Sophia Kazinnik, Tara M. Sinclair 2025-09-08T19:12:50Z 置信度 0.70
• Trust in Smart City Mobility Applications: A Multi-Agent System Perspective
  This chapter presents a recommendation system framework for smart mobility applications, emphasizing traffic monitoring and parking management in smart cities. Using Reinforcement Learning (RL) and Social Network (SN) concepts, the methodology classifies agent…
  crossref Maryam Javaherian 2025-05-23T04:36:12Z 置信度 0.70
• Mooseagent: A Llm Based Multi-Agent System for Automating Moose Simulation
  crossref Tao Zhang, Zhenhai Liu, Guangliang Yang, Yong Xin 等 2025-07-07T19:36:25Z 置信度 0.70
• Information elicitation mechanisms for Bayesian auctions
  Abstract In this paper we design information elicitation mechanisms for Bayesian auctions. While in Bayesian mechanism design the distributions of the players’ private types are often assumed to be common knowledge, information elicitation considers the situat…
  crossref Jing Chen, Bo Li, Yingkai Li 2025-08-01T03:43:20Z 置信度 0.70
• Hybrid urban intelligences: graph machine learning-driven multi-agent system for walkability
  Abstract Urban walkability is a critical determinant of health, safety, sustainability, and city life in general, yet most existing indices remain limited to amenity proximity and neglect the perceptual and morphological qualities that shape the walking experi…
  crossref Luis Felipe Palomares Avena 2025-12-24T03:24:03Z 置信度 0.70
• Regulation Mechanism for Electricity-Carbon-Green Certificate Multi-market: Dynamic Modeling, Multi-agent Game & Policy Optimization
  In the context of global climate governance and energy transition, the power industry urgently needs to promote the low-carbon process through market mechanisms. This paper addresses the theoretical and practical challenges of the multi-market coordination mec…
  crossref Honghu Cheng, Daoqing Xie, Haichao Wang, Qiang Li 等 2026-02-19T20:55:18Z 置信度 0.70
• CrowdAgent: Multi-Agent Managed Multi-Source Annotation System
  Maosheng Qin, Renyu Zhu, Mingxuan Xia, Chenchenkai, Zhen Zhu, Minmin Lin, Junbo Zhao, Lu Xu, Changjie Fan, Runze Wu, Haobo Wang. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations. 2025.
  crossref Maosheng Qin, Renyu Zhu, Mingxuan Xia, Chenchenkai 等 2025-11-08T12:29:45Z 置信度 0.70
• Research on stochastic process modeling and optimal control algorithm in multi-agent system
  Aiming at the uncertainties of multi-agent system (MAS) in complex environment, such as communication randomness, environmental randomness and sensor noise, this paper proposes a distributed optimal control framework based on stochastic process modeling. First…
  crossref Tingting Shan 2025-10-22T08:47:12Z 置信度 0.70
• A Multi-Agent System Framework for Managing Distributed Energy Resources (DERs)
  In this paper, we propose a multi-tiered framework for controlling distributed energy resources (DERs) such as elastic and non-elastic loads, electric vehicles (EV s), and Battery Energy Storage Systems (BESS). These resources are organized into clusters. By d…
  crossref Omid Ziaee, Beth Crouchet, Chris DeBenedicts 2025-02-19T18:40:18Z 置信度 0.70
• Multi-Agent System for Scientific Literature Search and Recommendation
  Conventional methods of keyword-based search engines can be incomplete, erroneous, and even lead to information overload. We suggest a multi-agent (AI-based) scientific literature retrieval system with features of semantic search, adaptive personalization, and…
  crossref Aswathy K Cherian, Naman Srivastava, Samyak Varia 2025-07-21T18:02:32Z 置信度 0.70
• MT-Mol: Multi Agent System with Tool-based Reasoning for Molecular Optimization
  Large language models (LLMs) have large potential for molecular optimization, as they can gather external chemistry tools and enable collaborative interactions to iteratively refine molecular candidates.However, this potential remains underexplored, particular…
  crossref Hyomin Kim, Yunhui Jang, Sungsoo Ahn 2025-11-08T12:29:45Z 置信度 0.70
• Autonomous Legacy Web Application Upgrades Using a Multi-Agent System
  The use of Large Language Models (LLMs) for autonomous code generation is gaining attention in emerging technologies. As LLM capabilities expand, they offer new possibilities such as code refactoring, security enhancements, and legacy application upgrades. Man…
  crossref Valtteri Ala-Salmi, Zeeshan Rasheed, Abdul Sami, Zheying Zhang 等 2025-04-21T18:58:36Z 置信度 0.70
• An Innovative Deep Learning-Based Predictive Maintenance Model for Smart Automotive System
  This research presents an innovative deep learning-based predictive maintenance model designed for smart automotive systems, utilizing the EnsembleAE-Boost (EAE-Boost) algorithm. The primary objective of the proposed model is to enhance the prediction accuracy…
  crossref V Indumathi, C. AshokKumar 2025-02-27T18:43:07Z 置信度 0.70
• A Multi-Agent Shopping System
  A multi-agent shopping system where system is fed with various product details such as product selection, price comparison, and personalized recommendations. These agents interact with users and various e-commerce platforms to facilitate reliable and efficient…
  crossref Prof. Samita Patil, Singh Deepika 2025-04-12T17:33:14Z 置信度 0.70
• Code2Onto: Multi-Agent System for Code-Driven Ontology Population
  crossref Alexander Graß, Jonathan Lehmkuhl, Diego Collarana, Stefan Decker 等 2026-03-06T20:57:57Z 置信度 0.70
• Positive Consensus of Multi-Agent Systems with Measurement Errors and Input Saturation
  In this paper, the positive consensus problem of multi-agent systems with unknown but bounded measurement errors and input saturation is studied. In the considered system, the upper bounds of the measurement error and input saturation limits of agents are allo…
  crossref Quchao Ma, Cheng Song 2025-09-09T17:29:36Z 置信度 0.70
• Cloud-Edge Collaborative Optimization Model of Multi-Energy System for Energy Storage Aggregation Agent
  Under the goal of "dual carbon", the regional integrated energy system is the core carrier for integrating intermittent renewable energy and multi-type loads, and distributed energy storage is a key resource to calm the fluctuation of new energy.This study con…
  crossref Hai He, Yanfeng Xia, Yuting Zhao, Siyu Zheng 2026-03-13T19:51:28Z 置信度 0.70
• Resilient Cooperative Control and Optimization of Multi-Agent Systems
  crossref 2025-01-31T18:57:00Z 置信度 0.70
• An LLM-based Multi-Agent System for Geoscience Legacy Document Processing, Knowledge Extraction and Quality Control
  crossref Jiyin Zhang, Weilin Chen, Chenhao Li, Xiaogang Ma 2025-09-11T20:13:41Z 置信度 0.70
• A Recommender System Based on Multi Agent System for Real Time Home Health Care Scheduling
  crossref Mouhamed Aziz Souissi, Houyem Ben Hassen, Jihene Tounsi 2026-01-14T20:36:48Z 置信度 0.70
• Efficient Routing and Scheduling for Marsupial USV-AUV System
  This paper addresses the routing and scheduling problem for a marine marsupial system, where an unmanned surface vehicle (USV) and multiple autonomous underwater vehicles (AUVs) cooperate to efficiently perform distributed subsea tasks. Due to the requirement …
  crossref Donghyun Kim, Jinwhan Kim 2026-01-28T20:57:50Z 置信度 0.70
• A SURVEY ON STOCK INVESTMENT RISK ANALYSIS USING CREWAI MULTI- AGENT SYSTEM
  Stock Investment risk analysis plays a crucial role in financial decision-making, demanding advanced methodologies to navigate the complexities of modern markets.Artificial Intelligence (AI), particularly multiagent systems, has emerged as a transformative too…
  crossref 2025-06-21T15:42:07Z 置信度 0.70
• Strategic classification for non-uniform preferences using penalty labels and randomisation
  crossref Manish Kumar Singh, Ankur A. Kulkarni 2025-11-11T07:28:46Z 置信度 0.70
• A formal testing method for multi-agent systems using colored Petri nets
  crossref Ricardo Arend Machado, Arthur da Silva Zelindro Cardoso, Giovani Parente Farias, Eder Mateus Nunes Gonçalves 等 2025-02-12T10:22:27Z 置信度 0.70
• Disagree and commit: degrees of argumentation-based agreements
  Abstract In cooperative human decision-making, agreements are often not total; a partial degree of agreement is sufficient to commit to a decision and move on, as long as one is somewhat confident that the involved parties are likely to stand by their commitme…
  crossref Timotheus Kampik, Juan Carlos Nieves 2025-01-27T08:12:18Z 置信度 0.70
• A Closed-Loop Multi-Agent System Driven by LLMs for Meal-Level Personalized Nutrition Management
  Personalized nutrition management aims to tailor dietary guidance to an individual's intake and phenotype, but most existing systems handle food logging, nutrient analysis and recommendation separately. We present a next-generation mobile nutrition assistant t…
  crossref Muqing Xu 2026-03-12T20:31:25Z 置信度 0.70
• A framework for building explainable collaborative multimodal dialogue systems using a theory of mind
  Eva is a multimodal conversational framework for building planning-based systems that help users accomplish their domain goals through collaborative dialogue. We argue that planning-based systems can do this by inferring users’ intentions, adopting goals to ac…
  crossref Philip R. Cohen, Lucian Galescu, Maayan Shvo 2025-11-22T01:32:53Z 置信度 0.70
• Conversational Product Navigation for E-Commerce Via Knowledge-Based Multi-Agent Chatbots
  Chatbots have become essential tools on e-commerce platforms, enabling automated customer consultation and support. However, most existing chatbots remain passive, merely responding to user-initiated queries without aligning with business objectives. This pape…
  crossref Gia-Bach Truong, Tuan-Dat Trinh 2025-12-30T18:36:01Z 置信度 0.70
• Game-Theoretic Position Adaptation in Multi-Agent Confrontation via Dynamic Triangle Plane Optimization
  To address the challenge of requiring extensive data and computational resources in intelligent control game systems, this paper proposes a triangular game relationship model on a plane, involving dynamic player A, dynamic player B, and the fixed-point base ca…
  crossref Xiangri Lu 2025-08-06T22:01:22Z 置信度 0.70
• Formation Hunting and Trajectory Optimization of Multi-AUV System Based on Adaptive Multi-Agent Reinforcement Learning
  In this study, we investigate the challenges of formation-based hunting and trajectory optimization for multiple autonomous underwater vehicles (AUVs) in a complex underwater environment. Traditional virtual structure algorithms and leader-follower models ofte…
  crossref Abdul Bari Butt, Li Min, Rao Atif, Muhammad Haider Abbas 2025-07-21T18:02:44Z 置信度 0.70
• Testing Based on Data Dependency in Multi-Agent System
  Agent-Oriented Systems are widely used in complex, autonomous, and distributed systems. Ensuring the integrity and robustness of such systems necessitates rigorous verification and validation methodologies, among which data flow testing is a key static analysi…
  crossref Alina Mishra, Divya Mahakul 2025-12-16T18:29:25Z 置信度 0.70
• Coal Mining Safety and Monitoring System Using Labview
  Safety is crucial in every industry, but it's especially important in mining, where conditions can quickly become life-threatening. Even with standard safety measures, underground mines still face rising temperatures, increased water levels, methane gas leaks,…
  crossref S Rathinamala, John Britto E, Srinithi S, Logeshwaran N 2025-02-27T18:43:07Z 置信度 0.70
• Multi Agent Economic Operation of Hydrogen Integrated Energy System Taking into Account Carbon Trading
  With the increasingly significant challenges of environmental pollution and energy consumption, integrated energy systems have become a key area of research because of their ability to couple multiple energy sources and flexibly coordinate various energy consu…
  crossref Luming Ci 2026-03-25T19:53:42Z 置信度 0.70
• Multi-agent Cooperative Encirclement Method Based on Reinforcement Learning
  This paper introduces a reinforcement learning-based multi-agent cooperative encirclement method to tackle target tracking and encirclement in dynamic stochastic environments. The Soft Actor-Critic (SAC) algorithm is first employed as the backbone algorithm fo…
  crossref Guanhua Chen, Jianguo Zhang, Guocheng Luo, Meng Yu 2025-10-14T17:38:51Z 置信度 0.70
• MSPAt-CNN: Multi Spectral Recurrent Primal Dual Attention Based Deep Learning Model for Intrusion Detection System with Mitigation
  Intrusion detection systems are the majorly used tools for defending various cyber-attacks in the real time scenarios. Deep learning-based methods have achieved remarkable success for early intrusion detection, besides, the existing techniques have experienced…
  crossref Rupal K Panchal, Rupal Snehkunj, Vinaykumar V Panchal 2025-02-27T18:43:07Z 置信度 0.70
• Low variance trust region optimization with independent actors and sequential updates in cooperative multi-agent reinforcement learning
  crossref Bang Giang Le, Viet Cuong Ta 2025-02-20T10:28:06Z 置信度 0.70
• QuantAgents: Towards Multi-agent Financial System via Simulated Trading
  crossref Xiangyu Li, Yawen Zeng, Xiaofen Xing, Jin Xu 等 2025-11-08T12:29:45Z 置信度 0.70
• Beyond Text Matching: Multi-Agent System for Comprehensive Research Paper Evaluation
  Indian universities face a critical research quality crisis, with Savitribai Phule Pune University declining 75 ranks (from 16 to 91) over seven years, while 34% of India's retracted papers originate from top-quartile (Q1) journals. Existing plagiarism detecti…
  crossref Subhash G. Rathod, Simant Asawale, Meghna Yashwante, Rupali Dineshwar Taware 2026-02-17T21:04:14Z 置信度 0.70
• MemAGent: A Cognitive-Hierarchical Multi-Agent System for Long-Form Story Generation
  The human writing process is fundamentally characterized by planning and revision. In contrast, the autoregressive mechanism of Large Language Models (LLMs) lacks these critical cognitive functions. This limitation explains why, despite their fluency in prose,…
  crossref Jingyan Li, Gangyi Ding 2026-02-24T20:54:54Z 置信度 0.70
• MASA: LLM-Driven Multi-Agent Systems for Autoformalization
  Autoformalization serves a crucial role in connecting natural language and formal reasoning.This paper presents MASA, a novel framework for building multi-agent systems for autoformalization driven by Large Language Models (LLMs).MASA leverages collaborative a…
  crossref Lan Zhang, Marco Valentino, Andre Freitas 2025-11-08T12:29:45Z 置信度 0.70
• Dynamic Resource Allocation Method Based on Multi-Agent Deep Reinforcement Learning
  This paper presents a Dynamic Resource-Target Assignment (Dynamic RTA) method for multi-force joint operations in dynamic battlefield environments, based on Multi-Agent Deep Reinforcement Learning (MADRL) using the Multi-Agent Double DQN (MADDQN) algorithm. Th…
  crossref Qitong Li, Yixin Zhao 2025-07-10T17:45:12Z 置信度 0.70
• Density-Driven Formation Control of a Multi-Agent System with an Application to Search-and-Rescue Missions
  In this paper, a novel Density-Driven Formation Control (D2FC) framework is presented for the formation control of swarm robots, driven by a given reference density map. This work is specifically designed for search and rescue (SAR) missions. Leveraging princi…
  crossref Mohammad Afrazi, Sungjun Seo, Kooktae Lee 2025-08-21T18:17:51Z 置信度 0.70
• Coordinating monetary contributions in participatory budgeting
  Abstract We formalize a framework for coordinating funding and selecting projects, the costs of which are shared among agents with quasi-linear utility functions and individual budgets. Our model contains the discrete participatory budgeting model as a special…
  crossref Haris Aziz, Sujit Gujar, Manisha Padala, Mashbat Suzuki 等 2025-07-10T09:22:42Z 置信度 0.70
• The distortion of threshold approval matching
  Abstract We study matching settings in which a set of agents have private utilities over a set of items. Each agent reports a partition of the items into approval sets of different threshold utility levels. Given this limited information on input, the goal is …
  crossref Mohamad Latifian, Alexandros A. Voudouris 2025-10-15T04:49:02Z 置信度 0.70
• Sound Recognition System for People with Impaired Hearing
  As natural environmental audio signals have become increasingly diverse and dynamic over time, environmental sound classification provides various challenges. Recent works-convolutions neural networks CNN's, gated recurrent units (GRUs), and ensemble-boosted t…
  crossref Achyuthan Sivasankar, Mohith Niranjen R K, Saanvi Samir Shah 2025-02-27T18:43:07Z 置信度 0.70
• Maestro: Multi-Agent Enhanced System for Task Recognition and Optimization in Manufacturing Lines
  Manufacturing lines face numerous challenges in task recognition and optimization, particularly due to their dynamic nature. To tackle these issues, we introduce Maestro, a multi-agent enhanced system that utilizes a decentralized agent architecture. Each agen…
  crossref Minhui Xie, Shujian Chen 2025-07-11T17:41:55Z 置信度 0.70
• Intelligent Scheduling in Open-Pit Mining: A Multi-Agent System with Reinforcement Learning
  An important process in the mining industry is material handling, where trucks are responsible for transporting materials extracted by shovels to different locations within the mine. The decision about the destination of a truck is very important to ensure an …
  crossref Gabriel Icarte-Ahumada, Otthein Herzog 2025-04-23T10:40:48Z 置信度 0.70
• Cooperative Multi-Agent System Research for Driving in Mixed Traffic Environments
  In the realm of mixed-use urban areas, cooperative multi-agent systems are growing quickly, and robust and scalable solutions for intelligent transportation systems are also being put forth. In this research, we develop a robust multi-agent system that integra…
  crossref Mariusz Jaworski, Ryszard Halik, Cyprian Górski 2026-06-09T10:33:24Z 置信度 0.70
• 2025 International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI)
  crossref 2025-02-27T18:45:56Z 置信度 0.70
• HMA: A Hierarchical Multi-Agent System for Document Question Answering
  Document Question Answering (DocQA) stands as a core task within the domain of natural language processing. Nevertheless, when confronted with complex documents that incorporate multimodal information—such as text, images, and tables—existing approaches still …
  crossref Qihang Hou, Guowei Liu, Pinpin Zhu 2026-04-23T08:35:40Z 置信度 0.70
• SysTemp: A Multi-agent System for Template-Based Generation of SysML V2
  crossref Yasmine Bouamra, Bruno Yun, Alexandre Poisson, Frédéric Armetta 2025-11-23T18:22:34Z 置信度 0.70
• GR-MADRL: a multi-agent deep reinforcement learning framework with hamiltonian optimization for task offloading in vehicular fog computing
  crossref Samuel Akwasi Frimpong, Mu Han, Wenyi Zheng, Andrew Quansah 2025-12-20T09:19:09Z 置信度 0.70
• A universal plug-and-display vaccine platform for mucosal and systemic immunity using <i>Bacillus</i> subtilis membrane vesicles
  Many bacterial species naturally secrete membrane vesicles (MVs) that mediate the intercellular transport of biomolecules, including nucleic acids, proteins, and metabolites. Beyond their native physiological roles, MVs hold considerable potential for biomedic…
  preprints 2026 置信度 0.74
• Emergent Physicalism in Economic Modeling:\From Physical Constraints to Macroeconomic Regularities
  Abstract This paper proposes Emergent Physicalism, a methodology for agent-based economics in which macroeconomic regularities emerge from physical constraints (depreciation, diminishing returns, resource flows) interacting with minimal institutional scaffoldi…
  preprints 2026 置信度 0.74
• Social Reflexivity in Compositional World Models
  Compositional world models represent complex environments through modular combinations of programmatic experts. Their core assumption—that the modeled system passively accepts predictions—breaks down in social settings where predictions alter the system itself…
  preprints 2026 置信度 0.74
• Jujube Peel Pigment-Loaded Thermosensitive Hydrogel with in Vitro Pro-Apoptotic and Antibacterial Activities
  Cancer remains a major global health concern, driving the search for safe and effective bioactive compounds from natural sources. Jujube peel red pigment (JP), an anthocyanin-rich extract, has shown preliminary bioactivity, yet its antitumor potential and deli…
  preprints 2026 置信度 0.74
• S-AI-GSF: Controlled Global Self-Formation under Symbolic, Hormonal, and Decidability-Preserving Constraints
  Abstract Sparse Artificial Intelligence and Global Self-Formation are explored in this work through a framework of controlled structural evolution in which an intelligent system can adapt its own architecture while preserving formal decidability guarantees. Th…
  preprints 2026 置信度 0.74
• A Study on Dynamic Dimming Strategies for Tunnel Lighting Based on the PPO Algorithm
  Addressing the issues of insufficient adaptability and limited energy efficiency optimization capabilities in traditional tunnel lighting control methods under complex traffic conditions, this paper proposes a dynamic dimming strategy for tunnel lighting based…
  preprints 2026 置信度 0.74
• Pattern Motional Collective Behavior in a Collision-Avoidance Cucker-Smale Model
  Abstract The classical Cucker-Smale model achieves consensus but lacks mechanisms for collision avoidance and pattern motion simultaneously. To address this limitation, we propose a modified model that incorporates a repulsive function and a driving force. Und…
  preprints 2026 置信度 0.74
• Multi-Agent Collaborative Modeling for Systemic Risk Propagation in Financial Markets: A Game-Theoretic Framework
  This paper focuses on the risk control challenges arising from behavioral interactions among multiple participants in financial markets. It proposes a financial risk game framework based on multi-agent collaborative modeling. The framework integrates environme…
  preprints 2026 置信度 0.74
• Application of the Mushroom Picking Optimization Algorithm to the Optimal Control of Discrete-Time Deterministic and Stochastic Dynamical Systems
  A new method for finding the global extremum of functions of many variables under interval constraints is proposed. The method simulates the process of foraging for edible mushrooms (Boletus edulis, Leccinum aurantiacum, Leccinum scabrum, Cantharellus cibarius…
  preprints 2026 置信度 0.74
• Open-Rosalind: Tool-First Biomedical LLM Agents with Process-Aware Benchmarking
  Large language models are increasingly used as scientific agents, yet the flexibility that benefits general-purpose agents can conflict with the accountability required in biomedical research. We study whether biomedical agents can be organized around auditabl…
  preprints 2026 置信度 0.74
• Instruction Strategy Design for Autonomous Machine Learning Experimentation Systems: A Taxonomy, Cross-System Analysis, and Evidence-Based Practitioner Framework
  Abstract Autonomous machine learning experimentation systems—wherein a large language model (LLM) agent iteratively proposes, executes, and evaluates code modifications against a fixed scalar metric—represent a fundamental shift in how machine learning researc…
  preprints 2026 置信度 0.74
• Deepcounsel: A Multi-Agent Framework for Simulating Complex Courtroom Audio Environments
  The scarcity of high-quality, labeled audio data for legal proceedings remains a significant barrier to developing robust speech-to-text and speaker diarization systems for the judiciary. This paper in- troduces Deepcounsel, a high-fidelity synthetic speech da…
  preprints 2026 置信度 0.74
• Top 10 Read Articles Advances in Vision Computing
  April 2026: Top 10 Read Articles: Advances in Vision Computing: An International Journal (AVC) Advances in Vision Computing: An International Journal (AVC) ISSN: 2349 – 2201 http://airccse.org/journal/avc/index.html SURVEY OF WEB CRAWLING ALGORITHMS Rahul Kuma…
  datacite Yaacoub, Aya 2026 置信度 0.66
• Top 10 Read Articles Advances in Vision Computing
  April 2026: Top 10 Read Articles: Advances in Vision Computing: An International Journal (AVC) Advances in Vision Computing: An International Journal (AVC) ISSN: 2349 – 2201 http://airccse.org/journal/avc/index.html SURVEY OF WEB CRAWLING ALGORITHMS Rahul Kuma…
  datacite Yaacoub, Aya 2026 置信度 0.66
• Decoupling Planning and Control for Instructable Agents
  Recent work shows that pre-trained, instruction-tuned vision-language models (VLMs) perform well at mapping from instructions and observations to high-level plans, but struggle to realize such plans as reliable low-latency action sequences in unfamiliar enviro…
  datacite Tang, Zineng, Allen, Kelsey R., van Steenkiste, Sjoerd, Dasgupta, Ishita 等 2026 置信度 0.66 Artificial Intelligence (cs.AI)Computation and Language (cs.CL)Multiagent Systems (cs.MA)Robotics (cs.RO)FOS: Computer and information sciences
• Claude Code Complete User Handbook
  Claude Code is an agentic work environment: a language model operating in a loop with filesystem access, shell execution, browser control, scheduled and cloud execution, external tool connections through the Model Context Protocol, and multi-agent orchestratio…
  datacite Soldani, David 2026 置信度 0.66 Networking and Internet Architecture (cs.NI)Software Engineering (cs.SE)FOS: Computer and information sciencesD.2.4, D.2.9, K.6.5, I.2.5
• The Secondary Signature of the Immune System . ARCHITECTURE of Secondary Stage of Immune System ( Sam Coole Architecture 2026©️ ) Anti-Cooling-Coding-Maintenance (ACCM) Methodology The ACCM Framework: Thermodynamic Cellular Engineering & Fever-Writing the Genomic Evolution- Antipyretics as a Destructive Genomic Sabotage - HIV-1 / EBOLA / COVID - Symbiotic Intracellular Transactional . Cytoplasm viral contents Sequestration . Sam Coole - All Rights Reserved 2026©️
  The Secondary Signature of the Immune System & Architecture of Secondary Stage Delay to activate Replication Viral Copies Anti-Cooling-Coding-Maintenance (ACCM) Methodology Antipyretics - Genomic Sabotage The ACCM Framework: Thermodynamic Cellular Engineering …
  datacite Coole, Sam 2026 置信度 0.66 Half-Life LatencyBio-Negative CouplingCellular Transactional Self-IntoxicationTask System PreservationBio-positive Coupling
• The Secondary Signature of the Immune System . ARCHITECTURE of Secondary Stage of Immune System ( Sam Coole Architecture 2026©️ ) Anti-Cooling-Coding-Maintenance (ACCM) Methodology The ACCM Framework: Thermodynamic Cellular Engineering & Fever-Writing the Genomic Evolution- Antipyretics as a Destructive Genomic Sabotage - HIV-1 / EBOLA / COVID - Symbiotic Intracellular Transactional . Cytoplasm viral contents Sequestration . Sam Coole - All Rights Reserved 2026©️
  The Secondary Signature of the Immune System & Architecture of Secondary Stage Delay to activate Replication Viral Copies Anti-Cooling-Coding-Maintenance (ACCM) Methodology Antipyretics - Genomic Sabotage The ACCM Framework: Thermodynamic Cellular Engineering …
  datacite Coole, Sam 2026 置信度 0.66 Half-Life LatencyBio-Negative CouplingCellular Transactional Self-IntoxicationTask System PreservationBio-positive Coupling
• Methods of Cognitive Modeling and Hybrid Evolutionary Multi-Criteria Algorithms in a Multi-Agent Information-Analytical System
  The paper proposes an approach to multi-criteria decision support based on a cognitively oriented multi-agent information-analytical system. Cognitive modeling methods are developed, including a formal ontological representation of knowledge about production p…
  crossref Vasiliy Borisovich Chechnev 2026-02-18T09:37:13Z 置信度 0.70
• A resilient distributed multi-level energy management system for multi-microgrids based on multi-agent system
  Over the past few decades, the world has witnessed a dramatic rise in power blackouts, primarily driven by High-Impact, Low-Probability events. Consequently, enhancing energy resilience has become a paramount concern. Multi-Microgrids (MMGs), as modern decentr…
  crossref Yanandlall Gopee, Anne Blavette, Guy Camilleri, Xavier Roboam 等 2026-08-28T15:21:07Z 置信度 0.70
• Maximin shares under cardinality constraints
  Abstract We study the problem of fair allocation of a set of indivisible items among agents with additive valuations, under cardinality constraints. In this setting, the items are partitioned into categories, each with its own limit on the number of items it m…
  crossref Halvard Hummel, Magnus Lie Hetland 2026-02-17T15:48:15Z 置信度 0.70
• Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems
  crossref 2026-01-18T21:52:54Z 置信度 0.70
• Constraint-aware multi-agent reinforcement learning with adversarial training for resilience enhancement in multi-microgrid voltage control
  The multi-microgrid system faces severe challenges in maintaining voltage stability when subjected to false data injection (FDI) attacks. This paper proposes a constraint-aware multi-agent reinforcement learning (CAMARL) framework, which combines graph neural …
  crossref Pengcheng Hu, Qianhui Ma, Abhisek Ukil 2026-04-18T14:53:04Z 置信度 0.70
• Optimal Scheduling of Hydrogen-Integrated Hybrid Energy Storage System: A Multi-Agent Optimal Compromise Reinforcement Learning Approach
  To fully account for the dynamic coupling of heterogeneous energy sources, the interactive coordination among multiple agents, and the synergistic operation mechanism of hydrogen-integrated hybrid energy storage system (HI-HESS), and to achieve the collaborati…
  crossref Jinming Li, Tao Li, Ming Dong 2026-02-10T22:40:18Z 置信度 0.70
• Multi-agent reinforcement learning approach for predictive maintenance of a Smart Building lighting system
  crossref Anas Hossini, Leïla Kloul, Maël Guiraud, Benjamin Cohen Boulakia 2025-08-30T14:56:13Z 置信度 0.70
• Group Containment and Formation Control for Heterogeneous Multi-agent Systems with Input Saturation via Multi-task
  crossref Lingzhen Jiang, Weixun Li, Miaoxin Du 2026-08-11T19:18:53Z 置信度 0.70
• Dynamic Proactive Ambulance Redeployment for Emergency Medical System: A Multi-agent Reinforcement Learning Approach
  Ambulances are critical resources in emergency medical systems (EMS). In urban settings, emergency demand evolves with substantial spatial-temporal heterogeneity, creating persistent mismatches between ambulance availability and service needs. Proactive ambula…
  crossref Guannan Liu, Zi-Han Feng, Junjie Wu, Jian Chen 2026-08-05T04:54:22Z 置信度 0.70
• A Hybrid Early-Warning System for Inflation in an Emerging Market: Combining Econometric Models, an Agent-Based Decomposition with Heterogeneous Expectations, a Large Language Model, and a Multi-Output Agent Architecture
  We develop and evaluate a hybrid early-warning system for year-over-year (YoY) inflation in Colombia that combines four econometric models (ARIMA, LASSO, ElasticNet, and a weighted ensemble), a reduced-form VAR, an agent-based model with heterogeneous expectat…
  crossref Esteban Labastidas 2026-04-24T13:38:40Z 置信度 0.70
• Someopark-football-agentic-simulator: A Multi-agent LLM System for Football Simulation with Low-rank Team Identity and Stabilised Emergent Possession
  We present someopark-football-agentic-simulator (sfas), a multi-agent system in which twenty-two large-language-model (LLM) agents play a full ninety-minute football match. The design is deliberately minimal: every frame, the system broadcasts one shared, coar…
  crossref Lingxiao Xu 2026-07-28T06:08:07Z 置信度 0.70
• Multi-Agent Medical Debate System for Clinical Reasoning
  crossref Shreyas Bhoyar, Adil Ansari, Navrati Saxena 2026-07-28T19:11:49Z 置信度 0.70
• Q-KVComm: Efficient Multi-Agent Communication via Adaptive KV Cache Compression
  Multi-agent Large Language Model (LLM) systems face a critical bottleneck: redundant transmission of contextual information between agents consumes excessive bandwidth and computational resources. Traditional approaches discard internal semantic representation…
  crossref Boris Kriuk, Logic Ng 2026-04-13T19:35:25Z 置信度 0.70
• Multimodal Perception-Based Control Strategy for a Multi-Agent Dual-Arm Ball-on-Plate System
  crossref Hongyu Leng, Yuebo Meng 2026-06-24T19:47:19Z 置信度 0.70