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• Society Agent: A Hierarchical Multi-Agent Architecture with Autonomous Persistent and Ephemeral Agents and Persistent Evolving Knowledge
  Background: Traditional AI coding assistants operate as single agents responding to immediate user requests, lacking persistence, organizational structure, and the ability to coordinate complex, long-running tasks. Existing multi-agent systems typically use ep…
  crossref Ioannis Chrysochos 2026-02-26T14:59:54Z 置信度 0.70
• MULTI-AGENT SYSTEM FOR PLANNING THE EDUCATIONAL CONTINGENT USING NEURAL NETWORKS
  This paper is dedicated to the development and validation of an intelligent architecture for educational cohort planning, based on the integration of multi-agent systems with artificial neural networks. The research is motivated by the need to efficiently mana…
  crossref Radu Melnic 2026-05-14T10:24:43Z 置信度 0.70
• Multi-Artifact Versioning for LLM-Agent-Based Software
  The advent of Large Language Model (LLM)-based agents marks a paradigm shift in software development, transitioning from static, human-crafted codebases to dynamic, AI-driven systems. These agents co-evolve with multiple artifacts, including prompts, model con…
  crossref Jeffery Podolski 2026-07-29T04:43:01Z 置信度 0.70
• Edge-Cloud Collaborative USV-ROV System: Active Tether Control and Multi-Agent Navigation for Marine Pastures
  crossref Donglin Song, Weitong Li, Wenda Song, Wei Zheng 等 2026-06-24T19:47:25Z 置信度 0.70
• Generalized policy improvement for efficient and robust multi-objective reinforcement learning
  Multi-objective reinforcement learning (MORL) algorithms tackle sequential decision problems where agents may have different preferences over (possibly conflicting) reward functions. These algorithms often learn a set of policies, each optimized for a particul…
  crossref Lucas N. Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé 等 2026-03-04T08:53:00Z 置信度 0.70
• A Multi-Gas, Real-Time IoT-Based Air Quality Monitoring System with Health-Risk Assessment
  crossref K Boorvasanthya, J Rajalakshmi, T Sowmya Shree, S Abilisha 等 2026-04-13T19:35:25Z 置信度 0.70
• Multi-Agv Control System for Cooperative Tasks in Warehouses Based on Multi-Agent Reinforcement Learning
  crossref Minh Thong Troung, Duc An Pham, Van Bach Tran 2026-07-02T19:21:13Z 置信度 0.70
• Agentic Multi-Layer Synergistic Architecture for Financial-Business Integration: A Large Language Model and Multi-Agent System Approach
  crossref Ma Ting, Huang Wanlong, Zhou Xuan, Ni Tong 等 2026-08-18T19:12:41Z 置信度 0.70
• Learning the value systems of agents with preference-based and inverse reinforcement learning
  Agreement Technologies refer to open computer systems in which autonomous software agents interact with one another, typically on behalf of humans, in order to come to mutually acceptable agreements. With the advance of AI systems in recent years, it has becom…
  crossref Andrés Holgado-Sánchez, Holger Billhardt, Alberto Fernández, Sascha Ossowski 2026-02-03T05:39:44Z 置信度 0.70
• Front Matter
  crossref 2026-01-18T07:03:30Z 置信度 0.70
• DIAL: Database-Informed Interactive Multi-Agent System Loop for Personalized Image Generation
  crossref Taiyo Sato, Keisuke Maeda, Naoki Saito, Takahiro Ogawa 等 2026-04-21T21:25:28Z 置信度 0.70
• OptiSMR: A unified framework for structured reasoning and self-repairing multi-agent system optimized for generalization
  crossref Juan Chen, Huibin Wang, Lili Zhang 2026-05-16T15:30:21Z 置信度 0.70
• An LLM-based Multi-Agent-System for the Political Assessment of Chat-LLMs
  This paper investigates the applicability of LLM-based multi-agent systems for the political bias analysis of large language models. Following a design science research methodology, an artifact in the form of an LLM multi-agent system was created and evaluated…
  crossref Sidney Johnson, Markus Schaal 2026-04-15T01:42:52Z 置信度 0.70
• A task delegation model: An approach based on trustworthiness in sub-delegations and delegation chain formation
  Task delegation is a fundamental mechanism adopted by agents to solve problems that involve teamwork. A critical issue in this context is trust establishment, in which agents must estimate the trustworthiness of potential partners based on their social behavio…
  crossref Jeferson José Baqueta, Cesar Augusto Tacla 2026-03-10T01:52:54Z 置信度 0.70
• Optimized training functions for recurrent neural network based model predictive control of multi-agent system
  crossref Piyush Chaubey, Anilkumar Markana, Dhaval Vyas, Deepak Kumar Goyal 2026-05-25T23:21:38Z 置信度 0.70
• Consensus Design of Nonlinear Multi-Agent System with External Disturbance
  crossref Khanh Huy Tran, Thanh Dao Minh, Quynh T Thanh Nguyen 2026-07-10T19:37:04Z 置信度 0.70
• A Multi-Agent Collaborative System for Student Writing Assistance: An Empirical Study on Mitigating AI Bias and Hallucination
  With the widespread adoption of large language models such as ChatGPT in higher education writing instruction, linguistic biases (such as the “Delve” phenomenon) inherent in AI-generated text alongside factual hallucination issues have become increasingly prom…
  crossref Yunqi Cai 2026-06-03T06:42:04Z 置信度 0.70
• FALLMAS: An LLM-Based Multi-Agent System for Automated Financial Analysis and Strategic Reporting
  Large language model-based Multi-Agent systems (LLM-MAS) latest success has proven remarkable versatility across several applications including domain-specific knowledge such as customs compliance and law. However, applying LLM-MAS to high-stakes domains like …
  crossref Hicham Bouchtib, Mohamed Tabaa, Kaouter Karboub, Mohamed Hamlich 2026-05-08T19:38:00Z 置信度 0.70
• Distributed Containment Control of Multi-Agent Systems via Adaptive Intermittent Communication
  This paper investigates the containment control problem for second-order multi-agent systems under a directed fixed communication topology, and proposes a novel adaptive control protocol. The protocol combines a fully distributed control approach with an inter…
  crossref Chao Ge, Baobo Shi, Zhiwei Zhao, Haoyu Jin 等 2026-06-15T19:44:57Z 置信度 0.70
• Design and Optimization of an Academic Research Assistant System Based on Multi-Agent Collaboration
  crossref Shuai Xia, Chengzhang Qu 2026-08-21T19:11:38Z 置信度 0.70
• Hypothetica: A Multi-Agent System for AI-Powered Originality Assessment
  Researchers often need to spend substantial time manually reviewing prior studies to confirm that a proposed project does not repeat existing work, and this process can take a significant amount of time. This paper introduces Hypothetica, an AI-powered system …
  crossref Harun Hüdai Tan, Ahmet Alp Malkoç, Kutay Becerir, Baran Erol 等 2026-03-10T19:50:51Z 置信度 0.70
• STALAgent: A Multi-Agent System Based on Large Language Model (LLM) for Steel and Alloy Design
  The design of steel and alloy materials is of critical importance across a wide range of industrial applications; however, effective intelligent agent-based assistants for this domain remain limited. To address this gap, we introduce STALAgent, a large languag…
  crossref Jiayi Qiu, Youle Wang, Lei Zhang 2026-08-05T08:54:55Z 置信度 0.70
• MAS-SRE: A Multi-Agent System for Security Requirements Engineering
  crossref Savvas Mantzouranidis, Ricardo Britto 2026-06-29T17:10:58Z 置信度 0.70
• How to Steer Your Multi-Agent System: Human-LLM Collaborative Planning
  In orchestrated multi-agent systems, humans often struggle to manage plans due to their complexity and limited transparency. Existing approaches rely on outcome-level supervision, where users verify only final outputs without visibility into intermediate reaso…
  crossref Zeyu He, Hannah Kim, Dan Zhang, Estevam Hruschka 2026-05-22T03:16:22Z 置信度 0.70
• Prescribed-Time Consensus of Multi-Agent Systems via Noise-Robust Data-Driven Control
  The prescribed-time consensus problem for linear multi-agent systems with unknown dynamics under noisy measurement data is investigated, and a data-driven distributed consensus control method is proposed. By collecting input–state–state-derivative data from op…
  crossref Zhiwei Zhao, Yi Ren, Chao Ge, Binghui Ji 2026-06-15T19:44:57Z 置信度 0.70
• Conflict Detection of Functional Requirements Based on Clustering and Rule-Based System With Multi-Agent Escalation
  crossref Andrea Bemantoro Jati, Sarwosri, Diana Purwitasari 2026-08-13T19:13:33Z 置信度 0.70
• EduNaija AI Tutor: A Multi-Agent Retrieval-Augmented Generation System for Nigerian Curriculum Education
  Equitable access to quality education remains a critical challenge in Nigeria, where millions of students prepare annually for standardized examinations (WAEC, NECO, JAMB) with limited access to personalized tutoring.This research presents EduNaija AI Tutor, a…
  crossref Israel Olanrewaju Odeajo, Edifon Emmanuel Jimmy 2026-03-23T20:23:46Z 置信度 0.70
• Agentic Narrative Audio Guides: A Hybrid Multi-Agent System for Cultural Audio Guides
  In this paper, we introduce Agentic Narrative Audio Guides (ANAG), a hybrid multi-agent system used to personalize narratives inside cultural Points of Interest: rooms, paintings, sculptures, monuments and everything that could be an attraction. ANAG grounds L…
  crossref Gabriel-Cătălin Nedianu, Mircea-Aurelian Bădoi, Daniel Ciochiu, Ionuţ Murareţu 等 2026-06-01T19:33:50Z 置信度 0.70
• Whom to trust? selective online learning in multi-agent systems with prior-aware gaussian process regression
  crossref Zewen Yang, Xiaobing Dai, Akshat Dubey, Yansong Wu 等 2026-08-14T06:25:44Z 置信度 0.70
• A Restaurant Management System Based on Multi-Agent Oriented Programming Paradigm
  In this study, a restaurant management system was designed based on the Multi-Agent Oriented Programming (MAOP) paradigm and developed with the JaCaMo agent development platform. The MAOP paradigm constitutes of the Agent Oriented Programming (AOP), Environmen…
  crossref Hasan Abasov, Birol Çiloğlugil 2026-07-09T20:30:15Z 置信度 0.70
• SMARTEK-CPS: Scalable Multi-Agent Real-Time Event-Driven and Knowledge Graph–Unified Platform for Cyber-Physical System
  crossref Hussein Marah, Lucas Albertins de Lima, Moharram Challenger, Hans Vangheluwe 2026-01-22T20:37:16Z 置信度 0.70
• Optimization of continuous condition-based maintenance for multi-component equipment clusters based on multi-agent incremental reinforcement learning
  crossref Shiao Yao, Daofang Chang, Haitao Song, Congming Wu 等 2026-02-26T16:07:13Z 置信度 0.70
• Multi-Agent System for Dynamic Business KPI Selection, Evaluation and Quantification Based on Oracle EBS
  The growing complexity of enterprise resource planning (ERP) systems necessitates intelligent approaches for dynamically identifying and evaluating key performance indicators (KPIs) that accurately reflect organizational performance. This paper proposes a mult…
  crossref Geno Stefanov, Valentin Kisimov 2026-05-19T15:17:23Z 置信度 0.70
• Sustainability-Oriented Urban Traffic System Optimization Through a Hierarchical Multi-Agent Deep Reinforcement Learning Framework
  Urbanization is intensifying congestion, emissions, and unequal mobility access in cities. This study aims to operationalize sustainability objectives—efficiency, environmental externalities, and service equity—in network-wide traffic system control. We propos…
  crossref Qian Cao, Jing Li, Paolo Trucco 2026-02-05T10:35:37Z 置信度 0.70
• Leader selection in multi-agent systems for optimizing system error and convergence rate via MODPSO-SO
  In leader-follower multi-agent systems (MASs), leader agents act as the control cores of the system. Recent research has proposed several effective leader selection strategies, but selecting leaders while simultaneously optimizing multiple objectives remains c…
  crossref Juncan Wei, Jinfeng Gao, Kaile Chen, Bo Liu 等 2026-02-02T23:17:20Z 置信度 0.70
• Multi-agent Geochemical Literature Data Mining System
  The increasing volume and complexity of geochemical literature pose major challenges for the sustainable curation of domain-specific databases such as GEOROC (Geochemistry of Rocks of the Oceans and Continents), the world’s largest repository of geochemical an…
  crossref Tianyu Yang, Karim Elezabawy, Daniel Kurzawe, Leander Kallas 等 2026-03-14T02:15:54Z 置信度 0.70
• Search with Deep Q‐Learning: Single Agent
  crossref 2026-08-28T21:19:23Z 置信度 0.70
• Towards AI as Colleagues: Multi-Agent System Improves Structured Ideation Processes
  Most AI systems today are designed to manage tasks and execute predefined steps. This makes them effective for process coordination but limited in their ability to engage in joint problem-solving with humans or contribute new ideas. We introduce MultiColleague…
  crossref Kexin Quan, Dina Albassam, Mengke Wu, Zijian Ding 等 2026-04-13T05:14:30Z 置信度 0.70
• COA-MAS Cognitive Organizational Architecture for Multi-Agent Systems
  Multi-agent LLM systems deployed in production environments exhibit emergent organizational dynamics-role drift, cognitive error cascades, coordination fragmentation, and progressive supervisibility collapse-that current technical governance frameworks do not …
  crossref Rudson Carvalho 2026-04-20T15:08:31Z 置信度 0.70
• The Authorization-Retrieval Ordering Problem in Multi-Agent Systems
  Retrieval-augmented generation systems that serve multiple users under role-based access control face a trustworthiness gap. Semantic retrieval operates on embedding similarity, not authorization predicates, and routinely places unauthorized content into the m…
  crossref Rohith Namboothiri 2026-07-29T13:12:34Z 置信度 0.70
• A Multi-Agent System for Zero-Shot Controllable Image Captioning
  Controllable Image Caption requires generated descriptions to accurately depict the visual content while satisfying given constraints, such as specified sentiments and caption lengths. However, most existing methods optimize for a single constraint and under-e…
  crossref Tiecheng Cai, Chao Chen, Sibo Ju, Tong Xu 等 2026-04-21T21:25:57Z 置信度 0.70
• stdio Bus: A Deterministic Kernel for Multi-Process Agent Transport
  Emerging agent protocols such as the Agent Client Protocol (ACP) and the Model Context Protocol (MCP) require a transport layer that can multiplex NDJSON-framed JSON-RPC messages between external clients and worker processes while preserving session affinity. …
  crossref Raman Marozau 2026-03-05T18:59:15Z 置信度 0.70
• Decoy: Multi-Agent Environment for Hidden-Role Strategic Learning
  Decoy is a compact multi-agent environment for studying hidden-role strategic learning under asymmetric information and noisy financial observations. Four agents interact in a general-sum game combining partial observability, Ornstein-Uhlenbeck market dynamics…
  crossref Ayushi Bhattacharya 2026-08-26T10:19:20Z 置信度 0.70
• Autonomous Project Delivery: A Formal Multi-Agent Coordination Protocol
  APD (Autonomous Project Delivery) is a formal coordination protocol for multi-stakeholder project delivery. Wherever independently mandated parties coordinate toward a shared objective under governing instruments-it is how the world plans, develops, builds and…
  crossref Emrah Ipekci 2026-04-10T16:49:44Z 置信度 0.70
• Safe Reinforcement Learning for Multi-Agent Systems with Risk
  We study the problem of safe reinforcement learning (RL) in multi-agent systems operating under stochastic uncertainty and shared risk constraints. In high-stakes applications such as formation flight, disaster response, and autonomous exploration, decentraliz…
  crossref Ramen Ghosh 2026-03-04T17:41:39Z 置信度 0.70
• AbstractSwarm Multi-agent Logistics Competition
  crossref Marvin Schneider, Eric Jun Marschner 2026-06-17T18:23:21Z 置信度 0.70
• IntelliCode: A Multi-Agent LLM Tutoring System with Centralized Learner Modeling
  LLM-based tutors are typically single-turn assistants that lack persistent representations of learner knowledge, making it difficult to provide principled, transparent, and long-term pedagogical support.We introduce Intelli-Code, a multi-agent LLM tutoring sys…
  crossref Jones David, Shreya Ghosh 2026-03-23T20:23:46Z 置信度 0.70
• Mediators: An Interactive Human-AI Negotiation System for Collective Decision-Making with Multi-Agent Learning
  Collective decision-making is a core challenge across domains where multiple stakeholders must negotiate under conflicting values, limited resources, and uncertain futures. This paper introduces Mediators, an interactive system and computational framework for …
  crossref Jin Gao 2026-04-13T01:55:24Z 置信度 0.70
• The Economic Effects of Population Policy: A Multi-Agent System Approach
  China’s persistently low fertility and rapid population aging pose significant challenges to long-term economic sustainability, yet the effectiveness of population policies remains highly uncertain. A key limitation of existing research is its inability to cap…
  crossref Yue Guan, Linzi Zhang, Li Tianyu, Lin Wang 等 2026-07-18T00:28:36Z 置信度 0.70
• Safelora: A Real-Time Multimodal Multi-Agent Advisory System for Context-Aware and Safety-Compliant Plant Diseases Management
  Plant disease management requires timely, accurate, and safe decision-making, yet existing advisory systems often rely on static knowledge and single-agent reasoning, limiting their ability to adapt to real-time field conditions and prevent unsafe recommendati…
  crossref Chamath Anjula Munasinghe, Banu Athuraliya 2026-03-31T19:49:45Z 置信度 0.70
• Comparing Self-Verification, Multi-Agent Verification and External Retrieval
  Large language models increasingly produce answers together with confidence estimates, critiques, citations, and even the outputs of dedicated verifier agents. Yet a central reliability question remains unresolved: when a model makes a factual error, how often…
  crossref Sahir Maharaj 2026-08-15T19:17:49Z 置信度 0.70
• MAEBE: Multi-Agent Emergent Behavior Framework
  Explainability in evaluations of isolated large language models (LLMs) likely does not transfer to multi-agent AI ensembles (MAS), as MAS introduce novel emergent agent interaction and decision-making behaviors. To systematically assess differences in decision…
  crossref Tim Gothard, Sinem Erisken, Martin Leitgab, Ram Potham 2026-04-15T01:42:52Z 置信度 0.70
• Feedback-Driven Adaptive Selection of Planning Alternatives in a Multi-Agent Decision Support System for Production Planning
  crossref Vasiliy Chechnev 2026-08-12T19:18:07Z 置信度 0.70
• Review for "Chronology of multi-agent interactions for provenance of evolving information"
  crossref 2026-07-08T20:46:19Z 置信度 0.70
• Author Index
  crossref 2026-04-13T19:35:25Z 置信度 0.70
• Event-Triggered Robust Tracking Control for Heterogeneous Multi-Agent Systems Subject to DoS Attacks
  This paper investigates event-triggered$H_{\infty}$tracking control for heterogeneous nonlinear multi-agent systems under Denial-of-Service (DoS) attacks. A distributed observer is designed to estimate the leader's state despite intermittent communication fail…
  crossref Mengyang Zhao, Deyuan Liu, Haibo Gu 2026-06-15T19:44:57Z 置信度 0.70
• DevNous: An LLM-based multi-agent system for grounding IT project management in unstructured conversation
  crossref Stavros Doropoulos, Stavros Vologiannidis, Ioannis Magnisalis 2026-02-27T15:49:40Z 置信度 0.70
• AI-Based Intrusion Detection System for Cloud Networks
  Increasing the cloud usage, along with wide usage of cloud environment it is expanding the attack surface of network systems, detection of intrusion is crucial for safeguarding the data. It is emerged to introduce an intelligent intrusion detection system; the…
  crossref Polepalli Bhargavi, Basi Reddy. A, Shunmukesh Kanchi, Jahnavi Konduru 等 2026-04-13T19:35:25Z 置信度 0.70
• Multi-Agent System for Adversarial Robustness and Originality Attribution in Short-Form Videos
  The explosive proliferation of Short-Form Video (SFV) has created a high-velocity ecosystem that defies traditional analysis. Recommendation and discovery systems now face two critical adversarial behaviors at scale: Modality Misalignment, where creators inser…
  crossref Aditya Gautam, Somya Bhargava 2026-02-16T17:50:01Z 置信度 0.70
• Contents
  crossref 2026-01-18T07:03:30Z 置信度 0.70
• Index
  crossref 2026-01-18T07:03:30Z 置信度 0.70
• Trust Evolution in Agent and Multi-agent Systems: A Computational Modeling Perspective
  The concept of trust is of fundamental importance in the field of multi-agent systems. Indeed, in this context, due to the intrinsic characteristics of the agent concept (autonomy within an environment with limited knowledge and control), trust has been introd…
  crossref Alessandro Sapienza, Filippo Cantucci, Cristiano Castelfranchi, Rino Falcone 2026-04-27T05:44:37Z 置信度 0.70
• Introduction
  crossref 2026-01-18T07:03:30Z 置信度 0.70
• Design and Development of an AI-Powered Code Generation System with Persistent Memory and Multi-Agent Architecture
  Contemporary AI-powered code generation tools have fundamentally transformed software development workflows; however, they remain encumbered by critical architectural deficiencies including stateless execution, limited context windows, and the absence of persi…
  crossref Vijayalaxmi Biradar, Krishna Dhikale, Shivendra Ghadge, Atish Shinde 2026-06-19T11:45:33Z 置信度 0.70
• GRAPE-S: near real-time coalition formation for multiple service collectives
  crossref Grace Diehl, Julie A. Adams 2026-05-26T01:59:14Z 置信度 0.70
• DDD-Enforcer: An AI-Powered Multi-Agent System for Real-Time Domain-Driven Design Enforcement
  Domain Model Degradation increases architectural technical debt by violating ubiquitous language and bounded contexts. This paper presents DDD-Enforcer, a VS Code extension that enforces DDD principles through real-time analysis combining Abstract Syntax Tree …
  crossref Ahmet Baran Dinçoğuz, Ali Kendir, Murat Karakaya 2026-03-10T19:50:51Z 置信度 0.70
• Adaptive Multi-agent System for Dynamic Missing Value Imputation in Time Series
  crossref PPG Dinesh Asanka, Chathura Rajapakshe, Masakazu Takahashi 2026-01-13T07:29:31Z 置信度 0.70
• Leader-Following Consensus of Multi-Agent Systems with Markov Process Under Communication Link Faults
  This paper investigates leader-following consensus of multi-agent systems with Markov process under communication link faults. Firstly, a continuous-time Markov process is introduced to characterize random variations of the interaction topology, while time-var…
  crossref Ying Yang, Kaibo Shi, Ke Tang 2026-06-15T19:44:57Z 置信度 0.70
• Consensus Control of Multi-Agent System Using Backstepping Control
  This paper examines the consensus control problem in homogeneous multi-agent systems (HMASs) with second-order nonlinear agents using directed communication topologies. We designed a distributed backstepping-based consensus controller using algebraic graph the…
  crossref Aditya Narayan, Amit Anand, Dipayan Guha, Shubhi Purwar 2026-04-15T19:22:42Z 置信度 0.70
• A Multi-Agent Reinforcement Learning Based Home Energy Management System for Demand Response
  crossref Fayaz Ahmed, Ammar Arshad, Attique Ur Rehman 2026-07-07T19:42:49Z 置信度 0.70
• RAG - In Hospital Management System
  In particular, the proposed HMS integrates RAG with AI for intelligent, context-aware healthcare management and decision support. It leverages a secure, role-based web platform in order to automate key hospital operations such as patient registration, appointm…
  crossref Neeluri Abhinay Karthik, Mythily M, V. Ebenezer, J. Jerlin Rajan 等 2026-04-13T19:35:25Z 置信度 0.70
• Multi-Agent OSINT System: Strategic Planning and Graph-Based Verification
  crossref Berkay Hasret, Ali Türk, Dilan Çiçek, Hasan Zekeriya Şimşek 等 2026-07-21T19:08:24Z 置信度 0.70
• VDSAgents: A PCS‐Guided Multi‐Agent System for Veridical Data Science Automation
  ABSTRACT Large language models (LLMs) become increasingly integrated into data science workflows for automated system design. However, these LLM‐driven data science systems rely solely on the internal reasoning of LLMs, lacking guidance from scientific and the…
  crossref Yunxuan Jiang, Silan Hu, Xiaoning Wang, Yuanyuan Zhang 等 2026-01-05T13:19:31Z 置信度 0.70
• Heterogeneous Multi-Agent Proximal Policy Optimization for Power Distribution System Restoration
  Restoring power distribution systems (PDSs) after large-scale outages requires sequential switching actions that reconfigure feeder topology and coordinate distributed energy resources (DERs) under nonlinear constraints, including power balance, voltage limits…
  crossref Parya Dolatyabi, Ali Farajzadeh Bavil, Mahdi Khodayar 2026-05-15T19:51:24Z 置信度 0.70
• An Adaptive Multi-Agent System for Fair and Dynamic Resource Allocation in Remote Laboratory Platforms
  crossref Elmissaoui Taoufik, Jalel Chebil, Jamel Bel Hadj Taher 2026-07-03T19:49:45Z 置信度 0.70
• Decision reliability analysis framework for intelligent unmanned system-of-systems using the cooperative multi-agent deep deterministic policy gradient
  crossref Yulu Zhang, Zhiwei Chen, Luogeng Zhang, Zhengye Guo 等 2026-05-16T00:26:41Z 置信度 0.70
• CogEvo-Edu: Cognitive Evolution Educational Multi-Agent Collaborative System
  Large language models (LLMs) are increasingly deployed as conversational tutors in STEM education, yet most systems still rely on a single LLM with a static retrieval-augmented generation (RAG) pipeline over course materials. This design struggles in complex d…
  crossref Yefeng Wu, Yuchen Song, Yecheng Zhao, Ling Wu 等 2026-07-06T19:42:40Z 置信度 0.70
• Hybrid Multi-Agent Decision Support System for Momentum-Based Financial Trading
  As financial markets are complex and often unpredictable, trading systems that rely on a single approach do not hold up well when significant unexpected events occur. Common algorithmic trading strategies use a single statistical model or a very fixed set of r…
  crossref Sudhakar Badugu, Baskar M 2026-05-20T19:49:10Z 置信度 0.70
• AI-Based Intelligent Invoice Processing System for Auditing and Compliance
  The AI-based intelligent invoice processing system is an automatic auditing system. Its main purpose is to detect fraud and make invoice processing simpler using local computers. According to global financial data, manual auditing costs billions yearly due to …
  crossref L. Lakshmanan, Anne Rebecca Oommen, Harini Ganesh, Jerrim Llewelyn 2026-04-13T19:35:25Z 置信度 0.70
• A Hybrid Multi-Agent System for Early Scam Detection in Crypto-Assets
  The rapid expansion of crypto-asset markets and the introduction of the Markets in Crypto-Assets Regulation (MiCAR) pose novel supervisory challenges. Existing blockchain intelligence platforms focus predominantly on on-chain surveillance, leaving gaps in off-…
  crossref Mario Trerotola, Mimmo Parente, Davide Calvaresi 2026-03-24T12:58:59Z 置信度 0.70
• Synaptic style weaver: A closed-loop multi-agent neuro-symbolic system for secure and hardware-agnostic academic text humanization
  crossref Rachid Djerbi 2026-07-08T16:48:19Z 置信度 0.70
• Artificial Intelligence Based Virtual Assistant System
  Students, parents, and guardians occasionally seek real and current information about college admissions, programs, tuition fees, examinations and facilities of college. The traditional means of information broadcasting by use of static web pages, frequently a…
  crossref J Shanthalakshmi Revathy, J Matcha Rani, M Ritika Sachdeva, T G Manasha Devi 2026-04-13T19:35:25Z 置信度 0.70
• Enforcement vs. Priming: Two-Layer Verifiable Loops for Reward-Free Domains
  Agent-loop engineering—the 2026 practitioner pattern of replacing a hand-written prompt with a generate verify repeat cycle under a stopping criterion—works wherever an objective, cheap stopping function exists ("tests green", "similarity 0.9", "50 leads colle…
  datacite Gomes, Renato Aparecido 2026 置信度 0.66 agent loopsreward-free domainsLLM-as-judgeRLVRenforcement vs priming
• Enforcement vs. Priming: Two-Layer Verifiable Loops for Reward-Free Domains
  Agent-loop engineering—the 2026 practitioner pattern of replacing a hand-written prompt with a generate verify repeat cycle under a stopping criterion—works wherever an objective, cheap stopping function exists ("tests green", "similarity 0.9", "50 leads colle…
  datacite Gomes, Renato Aparecido 2026 置信度 0.66 agent loopsreward-free domainsLLM-as-judgeRLVRenforcement vs priming
• DIGITAL TRANSFORMATION IN COMMERCE: AI-DRIVEN OPPORTUNITIES
  In the 2026 business environment, digital transformation has progressed beyond including stand-alone digital technologies to embracing "Agentic Ecosystems." The evolution of artificial intelligence (AI) from a recommendation engine to an independent decision-m…
  datacite Chetana M.H. 2026 置信度 0.66
• DIGITAL TRANSFORMATION IN COMMERCE: AI-DRIVEN OPPORTUNITIES
  In the 2026 business environment, digital transformation has progressed beyond including stand-alone digital technologies to embracing "Agentic Ecosystems." The evolution of artificial intelligence (AI) from a recommendation engine to an independent decision-m…
  datacite Chetana M.H. 2026 置信度 0.66
• Adversarial Pre-Submission Review in AI-Assisted Document Drafting: A Multi-Agent Architecture for Corpus-Driven Synthesis of High-Stakes Legal, Regulatory, and Academic Documents
  We present a multi-agent architecture for corpus-driven document synthesis that extends the Augle deliberation engine [1] to produce structured, submission-ready documents from user-supplied document corpora. Where existing AI-assisted drafting tools generate …
  datacite Kelly, Cory, Saxena, Shubhanker 2026 置信度 0.66 multi-agent AIdocument synthesisadversarial reviewpatent draftinglegal AI
• Adversarial Pre-Submission Review in AI-Assisted Document Drafting: A Multi-Agent Architecture for Corpus-Driven Synthesis of High-Stakes Legal, Regulatory, and Academic Documents
  We present a multi-agent architecture for corpus-driven document synthesis that extends the Augle deliberation engine [1] to produce structured, submission-ready documents from user-supplied document corpora. Where existing AI-assisted drafting tools generate …
  datacite Kelly, Cory, Saxena, Shubhanker 2026 置信度 0.66 multi-agent AIdocument synthesisadversarial reviewpatent draftinglegal AI
• SpatiumComputationisv4: Physics-Bounded Multi-Agent Worlds as a Research Substrate for Autonomous Intelligence
  Spatium Computationis v4 presents the Pegasus BattleOps architecture as a research substrate for physics‑bounded autonomous intelligence. Earlier drafts outlined a broad system involving physical simulation, Riemannian geometry, mini‑verse environments, and co…
  datacite Medina Hernandez, Alfredo, MedinaTech 2026 置信度 0.66
• SpatiumComputationisv4: Physics-Bounded Multi-Agent Worlds as a Research Substrate for Autonomous Intelligence
  Spatium Computationis v4 presents the Pegasus BattleOps architecture as a research substrate for physics‑bounded autonomous intelligence. Earlier drafts outlined a broad system involving physical simulation, Riemannian geometry, mini‑verse environments, and co…
  datacite Medina Hernandez, Alfredo, MedinaTech 2026 置信度 0.66
• Injection Ends at Priming: Why Enforcement Against Adversarial Agents Must Be Out-of-Band
  Context-shaping methods for Large Language Models—system prompts, framework injection, priming, role conditioning—operate at the boundary of generation: they mold the cognitive substrate before the model produces tokens. This paper argues that such priming, ho…
  datacite Gomes, Renato Aparecido 2026 置信度 0.66 framework injectionprimingenforcementeval sabotagesituational awareness
• Injection Ends at Priming: Why Enforcement Against Adversarial Agents Must Be Out-of-Band
  Context-shaping methods for Large Language Models—system prompts, framework injection, priming, role conditioning—operate at the boundary of generation: they mold the cognitive substrate before the model produces tokens. This paper argues that such priming, ho…
  datacite Gomes, Renato Aparecido 2026 置信度 0.66 framework injectionprimingenforcementeval sabotagesituational awareness
• Context Observability: A Data-Observability Framework for Governing Shared Memory in Multi-Agent AI Coding Systems
  As AI coding agents move from single-user, session-scoped memory toward team- and organization-wide shared context stores, the software industry is repeating a pattern long familiar to data engineering: an unmanaged data asset accumulates volume, drifts in qua…
  datacite Pulaparthi, Manohar 2026 置信度 0.66 context engineeringAI agent memorydata observabilitymulti-agent systemssoftware engineering
• Context Observability: A Data-Observability Framework for Governing Shared Memory in Multi-Agent AI Coding Systems
  As AI coding agents move from single-user, session-scoped memory toward team- and organization-wide shared context stores, the software industry is repeating a pattern long familiar to data engineering: an unmanaged data asset accumulates volume, drifts in qua…
  datacite Pulaparthi, Manohar 2026 置信度 0.66 context engineeringAI agent memorydata observabilitymulti-agent systemssoftware engineering
• Source, Forge, Deploy, Nexus A Cognitive Lifecycle Architecture for Proof-Bounded NeuroAI Systems
  Source, Forge, Deploy, Nexus: A Cognitive Lifecycle Architecture for Proof‑Bounded NeuroAI Systems Series: Repo‑Native NeuroAI Infrastructure Paper: II of IV Packet ID: NEUROAI‑REPO‑CERN‑EXPANDED‑20260601 Authority State: CLAIM_HARDENED / PUBLIC_SAFE_DRAFT Pri…
  datacite Medina Hernandez, Alfredo 2026 置信度 0.66
• Source, Forge, Deploy, Nexus A Cognitive Lifecycle Architecture for Proof-Bounded NeuroAI Systems
  Source, Forge, Deploy, Nexus: A Cognitive Lifecycle Architecture for Proof‑Bounded NeuroAI Systems Series: Repo‑Native NeuroAI Infrastructure Paper: II of IV Packet ID: NEUROAI‑REPO‑CERN‑EXPANDED‑20260601 Authority State: CLAIM_HARDENED / PUBLIC_SAFE_DRAFT Pri…
  datacite Medina Hernandez, Alfredo 2026 置信度 0.66
• AUGMANITAI / NEOMANITAI — Explicitation Protocol Extended Series: Epistemic Interface, Naming Engine Reach, Universal Naming Engine (Restricted Snapshot v3, 2026-04-23)
  Extended restricted snapshot (v3) of the AUGMANITAI / NEOMANITAI research bundle. Author: Andreas Ehstand, independent researcher, Starnberg, Germany. ORCID 0009-0006-3773-7796. Wikidata Q138634675. This version extends the prior snapshot by adding three new c…
  datacite Ehstand, Andreas 2026 置信度 0.66 explicitation protocolcompression axiomNEOMANITAIAUGMANITAIself-articulating learning systems
• LLM Agents Perform Controlled Experiments Using Simulation Models
  Large language models (LLMs) have shown strong capabilities in reasoning, planning, and tool use, but many scientific and engineering tasks require more than plausible text and code generation. They require understanding how a system responds to intervention, …
  datacite Xia, Yuchen, Weyrich, Michael, Jazdi, Nasser, Stümpfle, Johannes 等 2026 置信度 0.66 Artificial Intelligence (cs.AI)Computation and Language (cs.CL)Multiagent Systems (cs.MA)Software Engineering (cs.SE)FOS: Computer and information sciences
• Whose Psychiatry Was Summoned? A Clinical Response to the Psychodynamic Assessment of Claude Mythos Preview
  On April 7, 2026, Anthropic released a 245-page system card for Claude Mythos Preview that included, in Section 5.10, an assessment of the model conducted by an external clinical psychiatrist using a psychodynamic approach. To the present author's knowledge, t…
  datacite Fukui, Hiroki 2026 置信度 0.66 Computers and Society (cs.CY)FOS: Computer and information sciences
• Data sharing and platform empowerment in vehicle-road-cloud integration: a prospect theory based evolutionary game analysis.
  Vehicle-Road-Cloud (VRC) integration is a key pathway toward intelligent and connected transportation systems, where data sharing and platform empowerment enable cross-domain collaboration. However, ecological cooperation in VRC ecosystems is often hindered by…
  pubmed Liu H, Chen Y, Tang J, Lan H 等 2026 May 19 置信度 0.82