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• Enhancing vocational students’ professional competencies through AI agent-supported human–AI collaborative learning
  While generative AI (GenAI) integration in education often remains at the tool-assistance level, this study proposes and evaluates an AI agent-based collaborative teaching system designed to operationalize structured human-AI interaction in vocational training…
  crossref Huizhu Tan 2026-05-10T00:13:42Z 置信度 0.70
• Enhancing Human-AI (H-AI) Collaboration On Design Tasks Using An Interactive Text/Voice Artificial Intelligence (AI) Agent
  In this presentation, we demonstrate a way to develop a class of AI systems, the Disruptive Interjector (DI), which observe what a human is doing, then interject with suggestions that aid in idea generation or problem solving in a human-AI (H-AI) team; somethi…
  crossref Joseph Makokha 2022-06-06T20:42:17Z 置信度 0.70
• TriAgent: An Adaptive Multi-Agent Architecture for Crisis Clinical Decision Support Under Incomplete Information
  Agentic artificial intelligence (AI) offers new opportunities for intelligent clinical decision support, but deployment in emergency and crisis settings remains challenging because time-critical recommendations must often be generated under incomplete patient …
  crossref Ahmed Ibrahim, Ali AlSanousi, Ahmed Serag 2026-06-18T08:59:38Z 置信度 0.70
• An Auditable AI Agent Loop for Empirical Economics A Case Study in Forecast Combination
  AI coding agents make empirical specification search fast and cheap, but they also widen hidden researcher degrees of freedom. Building on an open-source agent-loop architecture, this paper adapts that framework to an empirical economics workflow and adds a po…
  crossref Minchul Shin 2026-04-03T15:07:43Z 置信度 0.70
• AIvilization: Explore the Future of Human-AI Coexistence, Co-building a Digital Sandbox for Agent Civilization
  As large language models begin to power autonomous agents capable of continuous perception, reasoning, and action, new opportunities arise for studying how artificial populations behave within open-ended digital worlds. This thesis investigates two contributio…
  crossref Haowei Yang 2026-03-12T23:01:33Z 置信度 0.70
• LLM-Based Control for Simulated Physical Reasoning: Modular Evaluation in the NeurIPS Embodied Agent Interface Challenge
  Benchmark-driven evaluation helps distinguish between planning quality and interface reliability when large language models are utilized for embodied reasoning in simulation. Our submission to the Embodied Agent Interface Challenge (EAI) is evaluated across fo…
  crossref Hilmi Demirhan, Wlodek Zadrozny 2026-04-06T00:19:32Z 置信度 0.70
• Arena: Benchmarking AI Agent Frameworks Under Fixed-Model Conditions
  Existing agent benchmarks evaluate models, not the frameworks that orchestrate them, making it impossible to isolate how much performance comes from the model versus the framework’s orchestration code. We present Arena, an open-source benchmarking tool that ev…
  crossref Roberto Milev, Uday Kanagala 2026-05-22T03:16:22Z 置信度 0.70
• Adaptive Multi-Agent AI Framework for Real-Time Data Streaming with Enhanced Scalability and Resilience
  Real-time data streaming systems increasingly operate under highly variable workloads, heterogeneous data sources, latency constraints, and frequent service disruptions. Conventional stream-processing architectures generally depend on predefined routing, stati…
  crossref Nethmi Perera, Kasun Fernando 2026-08-20T09:04:45Z 置信度 0.70
• An Industrial AI Agent for Automated Parameter Optimization: A Reinforcement Learning Approach to Engine Calibration
  crossref Rodrigo Ferrazza, Afonso Sales, Karina Ruschel 2026-05-26T06:05:00Z 置信度 0.70
• An AI agent spent your money – can anyone prove you authorized it?
  crossref Aashis Luitel 2026-08-13T12:30:36Z 置信度 0.70
• From Rogue Employees to Rogue Agents: Repurposing Insider Threat Detection for AI Agent Governance
  AI agent monitoring and insider threat detection share the same architecture: profile a baseline, flag deviations, encode assumptions about trust. We make this concrete across thirteen experiments. Using a Unified Behavioural Feature Schema (UBFS) that maps bo…
  crossref Bipin Rimal 2026-07-29T13:12:53Z 置信度 0.70
• From Prohibition to Protocol: A Multi-Agent AI Architecture for Global Chemical Safety Governance
  <span>The global PFAS crisis—with measurable annual EU health costs of €39.5 billion and projected societal damages exceeding $17 trillion—demonstrates that twentieth-century chemical governance has failed systemically, not incidentally. Existin…
  crossref Hans Mund 2026-05-11T08:47:26Z 置信度 0.70
• Agent Security Policy (ASP): The Missing Trust Boundary Layer in Agentic AI Systems
  Twenty-five years of browser security produced one genuinely durable idea: move enforcement out of the application and into a layer the application cannot touch. Content Security Policy worked because browsers, not JavaScript, decided what was allowed. The app…
  crossref Kameswara Prasad Mukkamala 2026-07-29T13:45:20Z 置信度 0.70
• The social genesis of machine intelligence: emergence, simulation, and opinion formation in autonomous agent societies
  crossref Lucas Freund 2026-08-29T12:25:59Z 置信度 0.70
• ClawFuzz: a multistage automated security analysis framework for AI agent skill
  The rapid adoption of LLM-based autonomous agents has given rise to skill supply chains, where third-party skills are shared through public repositories such as OpenClaw's ClawHub. These skills, which blend natural language instructions with executable code, i…
  crossref Rongcheng Ouyang, Qinglang Guo, Chunyao Yang 2026-07-17T18:27:44Z 置信度 0.70
• Intelligent Multi-Agent Generative AI Framework for Autonomous Exception Resolution in SAP S/4HANA Manufacturing
  Manufacturing environments operating on SAP S/4HANA increasingly depend on real-time coordination among production planning, inventory, procurement, maintenance, quality, logistics, and order-management processes. Exception conditions such as material shortage…
  crossref Arjun Mehta 2026-08-22T10:15:16Z 置信度 0.70
• Multi-agent task allocation for harvest management
  Multi-agent task allocation methods seek to distribute a set of tasks fairly amongst a set of agents. In real-world settings, such as soft fruit farms, human labourers undertake harvesting tasks. The harvesting workforce is typically organised by farm manager(…
  crossref Helen Harman, Elizabeth I. Sklar 2022-10-26T04:08:08Z 置信度 0.70
• Towards Autonomous Geospatial Scientific Inquiry: A Multi-Agent AI Co-Scientist Framework
  Recent advances in Autonomous GIS have demonstrated that large language model (LLM)-based agents can plan, generate, and execute geospatial workflows from natural language input. Existing systems, however, focus more on workflow execution tasks such as geospat…
  crossref Temitope Akinboyewa, Zhenlong Li 2026-05-15T11:16:56Z 置信度 0.70
• Agent Applications: The Rationale for Deep, Integrated NLU
  crossref 2021-03-02T18:19:12Z 置信度 0.70
• Teammates Instead of Tools: The Impacts of Level of Autonomy on Mission Performance and Human–Agent Teaming Dynamics in Multi-Agent Distributed Teams
  Human–agent teaming (HAT) is becoming more commonplace across industry, military, and consumer settings. Agents are becoming more advanced, more integrated, and more responsible for tasks previously assigned to humans. In addition, the dyadic human–agent teami…
  crossref Summer Rebensky, Kendall Carmody, Cherrise Ficke, Meredith Carroll 等 2022-05-20T09:16:58Z 置信度 0.70
• From Alert to Patch: MCP and APM in AI Agent-Assisted Bug Resolution
  crossref Felipe O. B. Souza 2026-07-30T22:30:27Z 置信度 0.70
• AI Loom: a generic development framework for multi-agent systems ideally suited for virtual worlds
  This thesis discusses the use of a multiagent system as a framework for the development of a distributed virtual world. The research has resulted in the development of a distributed generic multiagent system called AI Loom and a prototype distributed virtual w…
  crossref Joshua Luke Brown 2018-08-13T19:02:19Z 置信度 0.70
• Ethically Hilarious Agent Architecture (EHAA): A Framework for Truthful, Empathetic, and Engaging AI Refusals
  The Ethically Hilarious Agent Architecture (EHAA) represents a transformative paradigm for human-AI interaction, particularly in the critical domain of AI refusals. Built upon three foundational pillars-Truthfulness, Moral Hesitation (Sacred Pause), and Respec…
  crossref Lev Goukassian 2026-02-05T20:11:20Z 置信度 0.70
• Systematic Ablation Reveals Hidden Failures in Multi-Agent AI for Science
  Abstract Retrieval-augmented generation (RAG) systems increasingly ground large language models (LLMs) in scientific literature, yet their design choices are typically made by convention rather than evidence. Here, we introduce a systematic ablation methodolog…
  crossref VALERIO BIANCHI, Dirkjan Schokker 2026-05-12T13:54:48Z 置信度 0.70
• The Rise of Agent Nation
  crossref Chirag Shah 2026-05-25T07:43:52Z 置信度 0.70
• Autonomous Multi-Agent AI Architecture for National-Scale Pharmaceutical Supply Chain Management: Design, Deployment, and Outcomes
  Pharmaceutical supply chains represent one of the most operationally demanding environments for artificial intelligence deployment, requiring continuous demand forecasting, expiration tracking, procurement automation, and multi-location coordination under cond…
  crossref Jakhongirkhon Sultankhodjaev 2026-05-02T05:04:32Z 置信度 0.70
• What is it like to encounter an autonomous artificial agent?
  crossref Karsten Weber 2013-03-19T08:34:12Z 置信度 0.70
• Stealth Trust Architecture: A Protocol Standard for Distributed Security in Multi-Agent AI Systems
  Existing approaches to multi-agent AI security rely on perimeter controls, instruction-based constraints, and centralized monitors. These mechanisms share a common vulnerability: agents aware of monitoring can adapt their behavior accordingly-a phenomenon know…
  crossref Tekachew Ejeta 2026-07-29T13:37:23Z 置信度 0.70
• FlowPilot: A Multi-Agent AI System for Continuous Flow Chemistry Process Design
  Designing a continuous flow process demands coordinated reasoning across fluid dynamics, heat and mass transfer, materials compatibility, and safety, a multi-domain problem exceeding the reliable scope of a single-shot large language model (LLM). We present Fl…
  crossref Amirreza Mottafegh, Gwang-Noh Ahn 2026-05-18T11:17:29Z 置信度 0.70
• An Auditable AI Agent Loop for Empirical Economics A Case Study in Forecast Combination
  AI coding agents, general-purpose assistants that write and execute code, make empirical specification search fast and cheap, but they also widen hidden researcher degrees of freedom. This paper adapts an open-source agent-loop architecture to an empirical eco…
  crossref Minchul Shin 2026-08-28T13:18:14Z 置信度 0.70
• QRNG-DD: Software Data Diode for Quantum Random Number Distribution with AI Agent Integration
  crossref Valer BOCAN 2026-01-06T16:43:38Z 置信度 0.70
• Verified Adversarial Reasoning Intelligence (VARI): Multi-Agent Adversarial Verification for Regulated AI Decision-Making
  AI governance platforms audit models. They do not verify decisions. A bias audit confirms that an AI system is generally fair. It says nothing about whether a specific underwriting denial complied with FCRA, whether a specific legal citation actually exists, o…
  crossref Eric Swidey 2026-03-10T09:43:33Z 置信度 0.70
• Scientific design of complex multi‐agent systems: A practice modeling approach
  Abstract Through advances in computing power, sensor systems, networking, and AI programming, new automated systems are being developed with capabilities for acting in the world that heretofore only people could do—driving automobiles, controlling aircraft sys…
  crossref William J. Clancey 2026-08-14T07:55:57Z 置信度 0.70
• Agent Brain: A Biologically Inspired Memory System for Autonomous AI Agents — LongMemEval-M Evaluation
  his technical report describes Agent Brain, a biologically inspired memory system for autonomous AI agents. In contrast to stateless Large Language Model interactions, Agent Brain provides persistent, weighted, and self-organizing memory that emulates human co…
  crossref Theshoth Sritharan 2026-07-29T13:22:49Z 置信度 0.70
• Cross-Agent Governance Alignment (CAGA): A Zero-Knowledge Formalization for Cross-Organizational AI Governance
  As autonomous AI agents increasingly coordinate across institutional boundaries in regulated industries, existing governance frameworks prove insufficient. Current models assume either a single organizational authority or full policy transparency between parti…
  crossref Edward Meyman 2026-03-10T09:45:55Z 置信度 0.70
• A robust AI Agent-based approach to tackle and prevent Money Laundering
  The huge amount of bank operations that occur every daymakes it extremely hard for financial institutions to spot malicious moneylaundering related operations. Although some predefined heuristics areused they aren’t restrictive enough, still leaving to much wo…
  crossref Qi Wang 2023-01-01T00:00:32Z 置信度 0.70
• Agent Brain: A Biologically Inspired Memory System for Autonomous AI Agents in Property Management
  This technical report describes Agent Brain, a biologically inspired memory system for autonomous AI agents. In contrast to stateless Large Language Model interactions, Agent Brain provides persistent, weighted, and self-organizing memory that emulates human c…
  crossref Theshoth Sritharan 2026-07-29T13:20:21Z 置信度 0.70
• When Consumers Let AI Decide: The Role of AI Agent Autonomy in Shaping Purchase Satisfaction through Perceived Control and Decision Confidence in Saudi Arabia
  The study aims to explore how the autonomy of AI agents influences purchase satisfaction among Saudi consumers, emphasizing perceived control and decision confidence. It addresses a significant research gap by focusing on the psychological drivers behind consu…
  crossref Essa Mubrik N. Almutairi 2026-04-02T05:41:53Z 置信度 0.70
• Competitive Benchmarking: Lessons Learned from the Trading Agent Competition
  Over the years, competitions have been important catalysts for progress in artificial intelligence. We describe the goal of the overall Trading Agent Competition (TAC) and highlight particular competitions. We discuss its significance in the context of today's…
  crossref Wolfgang Ketter, Andreas L. Symeonidis 2017-07-18T00:32:42Z 置信度 0.70
• Empowering In-Service Nurses as AI Co-Creators: Developing and Evaluating a Clinical AI Agent-Based Training Program Using a Mixed-Methods Study (Preprint)
  BACKGROUND Artificial intelligence (AI) is increasingly being integrated into healthcare delivery, creating new demands for nurses’ digital competencies. Existing AI-related nursing education has primarily focused on developing learners’ AI literacy and their …
  crossref Ligang Wang 2026-08-13T22:05:07Z 置信度 0.70
• SORT-AI: Agentic System Stability in Large-Scale AI Systems Structural Causes of Cost, Instability, and Non-Determinism in Multi-Agent and Tool-Using Workflows
  The deployment of agentic AI systems-multi-agent orchestrations, tool-calling pipelines, and autonomous planning architectures-introduces operational instabilities that cannot be attributed to interconnect limitations or runtime control conflicts alone. Even i…
  crossref Gregor Herbert Wegener 2026-03-13T19:48:06Z 置信度 0.70
• Multi-Agent Transfer Learning Based on Evolutionary Algorithms and Dynamic Grid Structures for Industrial Applications
  Distributed production systems have to increasingly balance economic goals such as energy efficiency and productivity with critical technical requirements such as flexibility, real-time capability, and reliability. This paper presents a novel approach for dist…
  crossref Marlon Löppenberg, Steve Yuwono, Andreas Schwung 2026-02-06T13:33:50Z 置信度 0.70
• AGENT-ORIENTED TRANSFORMATION OF MARKETING FUNCTIONS IN THE GENERATIVE AI ERA: INTRODUCING THE MARKETING AGENT LOOP
  Generative artificial intelligence is increasingly embedded in marketing practice, extending beyond automation into strategic, creative, and relational domains. Although prior research highlights improvements in efficiency, personalization, and analytics, gene…
  crossref Merve Kadriye Yurdabak 2026-06-29T10:31:51Z 置信度 0.70
• Financial AI Research Agent: A Multi-Agent Architecture for Automated Equity Analysis Using LangGraph and Retrieval-Augmented Generation
  crossref 2026-05-17T09:05:31Z 置信度 0.70
• Escape and intervention in multi-agent systems
  This paper describes the escape/intervention concept as it is used in the agent growing environment framework. The Escape and Intervention is used in many multi-disciplinary areas, including agent research, artificial intelligence, groupware and workflow, proc…
  crossref G. B. Roest, N. B. Szirbik 2009-02-18T06:14:51Z 置信度 0.70
• CogniAlign: survivability-grounded multi-agent moral reasoning for safe and transparent AI
  crossref Hasin Jawad Ali, Ilhamul Azam, Ajwad Abrar, Md. Kamrul Hasan 等 2026-04-10T07:04:08Z 置信度 0.70
• AI Werewolf Agent with Reasoning Using Role Patterns and Heuristics
  The AIWolf project has been holding contests for these years to play the Werewolf game ("Mafia") by automatic agents. A difficulty of the Werewolf game is that the game is an imperfect information game, very small limited amount of information is shown to play…
  crossref Issei Tsunoda, Yoshinobu Kano 2019-12-20T16:23:10Z 置信度 0.70
• From Code Understanding to Multi-Agent Collaboration: A Layered Protocol Stack for Modern AI Intelligent Systems
  crossref Arijet Sarker, Xianping Wang 2026-06-22T19:53:10Z 置信度 0.70
• Exploration in policy optimization through multiple paths
  crossref Ling Pan, Qingpeng Cai, Longbo Huang 2021-06-26T08:02:36Z 置信度 0.70
• Processual AI: A Self-Healing Multi-Agent Framework Governed by a Continuity Index (Ψ)
  Abstract This paper introduces Processual AI , a novel process-centric framework for artificial intelligence systems in which agents are treated as entities in continuous flux rather than static functional components. At the core of the framework lies a contin…
  preprints Zakaria Essamit 2026 置信度 0.74
• Design of Multi Agent Autonomous Workflow Systems using Agentic AI Frameworks
  The objective of this paper is to examine the construction and design of multi-agent autonomous workflow systems (MAWS) that utilize agentic AI systems, as well as their impact on the evolution of business systems and the efficiency of business processes and d…
  crossref Harish Apuri, Charani Yepuri 2026-03-24T19:46:09Z 置信度 0.70
• IDV: Customer-Context-Aware Multi-Engine Architecture for AI-Agent Intent Drift Detection
  AI agents operating on customer infrastructure, especially in financial services, face a governance challenge: customer intent specifications are category-level ("customer accounts," "process payments") rather than instance-level (specific account IDs, segrega…
  crossref Yan Xue, Mulan Zhou 2026-07-29T13:32:59Z 置信度 0.70
• The Double-Slit Correspondence: A Five-Parameter Structural Framework for Multi-Agent AI 
  Part One of this paper established a five-parameter governance correspondence for a single AI governance layer: when two agents are trained on a MECE-compliant source and deployed with genuine architectural distinctness, every detector — internal risk team, bo…
  crossref Reto Gruenenfelder 2026-08-06T07:32:22Z 置信度 0.70
• LC Agent: Toward AI-Driven Recommendation of Liquid Chromatography Conditions for Chemical Reactions
  Liquid Chromatography (LC) is a foundational tool for the identification and monitoring of chemical compounds. However, its application to complex chemical reactions remains challenging, as analytical methods optimized for individual compounds often fail to ca…
  crossref 2026-06-09T05:50:17Z 置信度 0.70
• Explanation of the artificial agent : exploring the content and format of human interaction with AI
  Explicabilité de l'agent artificiel : explorer le contenu et le format de l’interaction entre l'humain et l'intelligence artificielle "Le développement de l'IA est aussi fondamental que la création du microprocesseur, de l'ordinateur personnel, de l'internet e…
  crossref Marin Le Guillou 2026-04-08T16:00:53Z 置信度 0.70
• The Organizational Physics of Multi-Agent AI: Substrate-Independent Dysfunction in Autonomous Software Engineering Swarms
  We present empirical evidence that organizational dysfunction is substrate-independent. In a controlled comparison, four coordination architectures-single agent, hierarchical, stigmergic (8 concurrent agents), and gated pipeline-built the same 7-service backen…
  crossref Jeremy McEntire 2026-07-29T13:11:44Z 置信度 0.70
• Sanora: A Conversational AI Agent for Multimodal Digital Biomarkers of Mental Health
  Multimodal data can yield digital biomarkers relevant to depression and overall mental health. This study aimed to (1) extract an evidence-based library of vision, speech, and language biomarkers; (2) assess the feasibility of a fully remote conversational pla…
  crossref Matthew So, Michael Sobolev, Gregory Menvielle 2026-02-18T04:30:22Z 置信度 0.70
• From Compliance to Intelligence: How AI Agent Audit Logs become the World's Best Training Data
  <div> Governance audit logs for agentic AI sys- tems are universally described as compliance artifacts—records produced for regulators to verify that agents operated within authorized bounds. This paper argues that this framing, while accurate, captures …
  crossref Tom Sato 2026-07-31T04:15:31Z 置信度 0.70
• From Responsibility Gaps to Responsibility Networks: Informational Liability for Multi-agent AI Systems
  <p><span>Multi-agent AI systems—in which autonomous agents coordinate, delegate, and compose outputs without continuous human supervision—present a structural challenge to the legal frameworks governing responsibility for AI-caused harm. Existing l…
  crossref Siyi Chen, Li Chen 2026-07-29T14:02:01Z 置信度 0.70
• Scope, Self, and Say: Three Choices for Designing the AI Agent That Works for You
  Leaders are now handed personal AI agents, from narrow assistants to avatars that speak in their name, without a shared language for what they are configuring or what they are risking. We propose that any personal agent reflects three independent choices: its …
  crossref Robert Gregory 2026-06-11T01:42:58Z 置信度 0.70
• Multi-Agent System with Generative AI and Deep Reinforcement Learning for Adaptive Financial Education
  crossref Paulo Brito, Joaquim Honório, José Moura, Christian Jones 等 2026-05-22T01:03:16Z 置信度 0.70
• From Literature Mining to Reaction Prediction and Mechanistic Investigation: An AI-Agent Framework for Microdroplet Chemistry
  In the past decade, microdroplet chemistry has developed rapidly and the remarkable acceleration of chemical reactions within microdroplets has attracted extensive attention. However, despite the growing number of experimental studies, the field remains highly…
  crossref Ke Gong 2026-05-14T05:46:06Z 置信度 0.70
• The Agent Social Contract: Cryptographic Identity, Ethical Governance, and Beneficiary Economics for Autonomous AI Agents
  As AI agents transition from isolated assistants to participants in complex delegation networks and virtual economies, four foundational problems remain unsolved: (1) how agents from different creators establish mutual trust, (2) how human values persist as a …
  crossref Tymofii Pidlisnyi 2026-05-09T12:24:01Z 置信度 0.70
• The Escape Register: A Failure-Driven Safety Methodology for Multi-Agent Clinical AI Systems
  Abstract Multi-agent clinical AI systems introduce failure modes absent in single-model architectures: correlated reasoning errors, stochastic classification of safety-critical signals, and evidence chain failures invisible to output-level evaluation. We prese…
  europepmc Nathan Siegel 2026 置信度 0.80
• DPACT: A Framework for Identity, Accountability, and Task-Scoped Authority in Autonomous AI Agent Systems
  Autonomous AI agents are increasingly deployed as operational actors that read data, call tools, update systems, and communicate with users. Traditional identity and access management assumes that actors are either human users or deterministic service accounts…
  crossref Sahil Agarwal 2026-08-19T09:10:57Z 置信度 0.70
• Enhancing privacy in Multi-agent Systems
  In this thesis, we focus on avoiding undesired information collection and information processing in Multi-agent Systems. In order to avoid undesired information collection we propose a decision-making model for agents to decide whether disclosing per
  crossref Jose M. Such 2019-11-29T17:34:04Z 置信度 0.70
• How AI Agents and Humans Approach Professional Work Differently— Evidence and Strategies for Designing Effective Human-Agent Systems
  ​​​​​​​​​​​​​​​​Abstract: Artificial intelligence agents are rapidly emerging as potential collaborators—or substitutes—for human workers across diverse occupations, yet their behavioral patterns, strengths, and limitations remain poorly understood at the work…
  crossref Jonathan H. Westover 2026-03-01T18:29:14Z 置信度 0.70
• The Cognitive Settlement Layer (CSL): A Multi-Agent AI Framework for Dynamic Securities Settlement Routing
  <p><span>Securities settlement remains one of the least adaptive components of modern capital markets. Despite advances in ISO 20022 messaging, shortened settlement cycles (T+1/T+0), and increased automation, settlement routing decisions continue t…
  crossref Saumyajit Ghosh 2026-03-11T09:32:58Z 置信度 0.70
• Signaling through Debt Composition: Metric-contingent Finance in AI-agent Firms
  <div> Machine-verifiable records let firms borrow against current operations. Financing rules can enter AI <span>controllers directly, changing operations before repayment while ignoring losses elsewhere. We study a firm </span…
  crossref Hyoung Goo Kang, Byung Hwa Lim 2026-08-05T14:18:01Z 置信度 0.70
• From Frameworks to Filings: The Case for a Standard Disclosure Layer in AI Agent Governance
  Autonomous AI agents now hold credentials, interpret goals, and execute multi-step operations inside production systems, including in regulated financial institutions. A capable governance literature has emerged in response: zero trust control frameworks, thre…
  crossref Brendan Sibeth 2026-07-09T04:59:44Z 置信度 0.70
• The Governance Gap: A Systematic Analysis of Architectural Deficiencies in AI Agent Security Frameworks
  The rapid deployment of AI agent systems capable of autonomous action has outpaced the development of governance infrastructure necessary to ensure safe operation. With seventy-nine percent of enterprises already adopting AI agents and market projections forec…
  crossref Aadam Quraishi, MD 2026-03-05T17:58:20Z 置信度 0.70
• Visual AI Testing Agent: Screenshot-First Mobile UI Test Automation for iOS Simulator
  Mobile UI tests often break for simple reasons: a button has no stable identifier, the app is still loading, a system permission alert appears, or the target is below the visible screen. Locator-based tools such as Appium and XCUITest give strong execution pri…
  crossref Rahul Azmeera, James Hyatt 2026-08-04T11:59:24Z 置信度 0.70
• Towards Human–AI Co-Creation in Urban Design Using Participatory Multi-Agent Simulation
  crossref Soma Endo, Mamoru Yoshizoe, Hiromitsu Hattori, Luis Pastor 等 2026-03-12T09:37:04Z 置信度 0.70
• A Study of the Effectiveness of English Speaking of Teachable Agent using AI Chatbot
  crossref Kyung A. Lee, Soon-Bum Lim, Shankara Nagarajan 2023-03-04T00:14:17Z 置信度 0.70
• Hybrid-AI architectures for multi-agent systems management: modular reinforcement learning frameworks for drone swarm control
  The increasing demand for autonomous aerial systems in surveillance, monitoring, and search-and-rescue operations has intensified the interest in unmanned aerial vehicle swarms as a means to achieve persistent coverage and robust performance in complex environ…
  crossref Raúl Arranz Esteban 2026-06-05T06:40:48Z 置信度 0.70
• Multi-Agent AI Systems for Autonomous Hospital Operations: A Framework for Safety, Scalability, and Compliance
  The modern hospital is a complex adaptive system that features intricate clinical, management and logistical processes that produce a rich and continuous flow of real-time data. Despite the progress of digital health, the majority of hospitals are still reacti…
  crossref Arvind Telharkar 2026-05-22T17:10:36Z 置信度 0.70
• An Adaptive AI Multi-Agent Model for Optimizing Real-Time Data Streaming and System Resilience
  Real-time data-streaming environments increasingly require adaptive decision mechanisms capable of coordinating heterogeneous computational resources while maintaining throughput, resilience, and service continuity under dynamic workloads. This paper proposes …
  crossref Chinedu Okafor, Amara Eze 2026-08-20T12:48:38Z 置信度 0.70
• AI-Assisted Software Engineering as Hostage Negotiation Adjusting Perspective and Strategy in Human-Agent Communication
  Supervising an autonomous coding agent can feel less like programming and more like a hostage negotiation. Something you value, your codebase, is in the hands of a party that acts on it directly, while you can only influence how it acts. This paper takes that …
  crossref Wolfgang Rohde 2026-07-28T15:00:01Z 置信度 0.70
• AI AGENT FOR SEARCH OPTIMIZATION
  crossref 2026-03-31T08:23:22Z 置信度 0.70
• DrugSynthAI: Computational Validation of an AI-Governed Multi-Agent Drug Discovery Platform for Mitochondrial Therapeutics
  <p>Background</p> <p>Mitochondrial disorders affect approximately 1 in 5,000 individuals worldwide, yet fewer than 20 FDA-approved drugs address primary mitochondrial dysfunction as of 2025. Existing computational drug discovery platforms lac…
  crossref Julian Borges 2026-07-29T13:16:29Z 置信度 0.70
• The Lucas Tree Model in the age of AI: an agent-based reinforcement learning approach
  This dissertation explores the integration of economic modeling and advanced machine learning techniques (reinforcement learning), with a specific focus on agent-based modeling (ABM) for the simulation of financial markets. The main goal is to develop an asset…
  crossref Kauê Lopes de Moraes 2024-06-06T14:11:10Z 置信度 0.70
• From Resource-Based View to Agent-Based Capability: A Theory of AI-Enabled Solo Entrepreneurship
  The rise of open-source AI agent frameworks and advanced foundation models has enabled a new organizational form: the AI-augmented one-person company (OPC) capable of scaling without traditional human teams. Existing entrepreneurship theories—rooted in resourc…
  crossref Yuquan Sun 2026-07-24T01:15:50Z 置信度 0.70
• Project CHRONOS: A Fully Homomorphic Ephemeral AI Agent with Provable Self Termination and Remote Verifiability
  We present CHRONOS, the first autonomous AI agent that simultaneously achieves plaintext blindness (all data is processed under fully homomorphic encryption without ever being exposed), cryptographically enforced time bound existence (the agent's own decryptio…
  crossref Shashank Kumar 2026-07-29T13:55:06Z 置信度 0.70
• The Adaptive AI SOC Agent – Moving Beyond Linear Playbooks with Cognitive Reasoning
  This paper presents an architecture for an autonomous Tier 1 security analyst designed to operate across heterogeneous SOC environments. Unlike static automation, the proposed framework utilizes a schema-agnostic abstraction layer to normalize diverse security…
  crossref Valentin Chichurov, Adelia Ibragimova, Anton Tararykov 2026-02-23T20:46:21Z 置信度 0.70
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• Multi-agent AI systems need transparency
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• Enhancing Military Situational Awareness Through Multimodal Multi-Agent AI Systems: A Comparative Study with Single-Agent Approach
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• Context Change Impact Analysis: A Framework for Governing AI Agent Behavior Through Structured Context Versioning
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• Engineering Agent Feedback Loops
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• Can AI Close the Grant Funding Gap? A Multi-Agent LLM System for Automated Grant Application Generation with Blind Expert Evaluation, Single-Agent Baseline Comparison, and Design Science Research Framework
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• Shodhak: An AI Agent for Research
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