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• Decision letter for "Masgent: An AI-assisted Materials Simulation Agent"
  crossref 2026-04-17T21:06:04Z 置信度 0.70
• A Diagnostic Framework for AI Agent Behavior
  AI agents increasingly act within the same clinical, political, scientific, and social systems that behavioral scientists study. Evaluating these systems requires source-level diagnosis: the same behavioral pattern may arise from an agent's representational su…
  crossref Xichen Zhang, Yingjie Zhang, Tianshu Sun 2026-07-31T10:07:43Z 置信度 0.70
• Generative AI Application Scenarios
  Abstract In this chapter, we present additional application scenarios in the financial field using the methods discussed, with a particular focus on tasks related to generative AI.
  crossref Chung-Chi Chen, Hiroya Takamura 2025-07-16T11:56:52Z 置信度 0.70
• Curriculum in the Age of Artificial Intelligence (AI): A Proposal for Agent Curriculum
  본 연구의 목적은 인공지능 기술의 비약적 발전과 AI 에이전트 등장에 대응하여 인간과 비인간 행위자의 역동을 담아낼 수 있는 새로운 교육과정을 탐색하고자 ‘에이전트 교육과정(Agent Curriculum)’ 담론을 제안하는 데 있다. 이를 위해 본 연구는 AI 기술의 발전과 교육적 시사점을 살펴보고, 에이전시(agency) 개념의 이론적 계보를 탐색하였다. 또한 국내 교육과정 연구에서 전개된 교사 에이전시, 학생 에이전시, OECD 에이전시 논의를 분석하여 그 …
  crossref Subeen Lee, Jae-ill Lim 2026-04-09T01:03:36Z 置信度 0.70
• AI-Agent Architectures for Decentralized Network Management
  The modern digital world demands networks that are not only vast but also highly dynamic and complex. With the proliferation of IoT devices, cloud services, and mobile connectivity, network infrastructures have grown exponentially in size and intricacy. Tradit…
  crossref Het Mehta 2026-02-19T09:36:34Z 置信度 0.70
• Decision letter for "Masgent: An AI-assisted Materials Simulation Agent"
  crossref 2026-04-17T21:06:04Z 置信度 0.70
• ​How human AI should be: Measuring instrument for core agent features
  Despite increasing implementation of AI agency, it is puzzling why consumers still prefer to interact with human agents in customer services. Part of the problem reflects the dehumanisation of this cutting-edge technology. Current paper addresses this challeng…
  crossref Svetlana Bialkova 2026-06-03T22:38:11Z 置信度 0.70
• Decision letter for "Masgent: An AI-assisted Materials Simulation Agent"
  crossref 2026-04-17T21:06:04Z 置信度 0.70
• Agentic Attribution: Toward Forensic Investigation Standards for AI Agent Incidents
  As AI agents are given growing latitude to act autonomously across financial, technical, and communication systems, they will increasingly be implicated in incidents that cause real harm: unauthorized transactions, data exfiltration, corrupted records, or harm…
  crossref Maxwell Bosiako Antwi 2026-07-21T06:09:47Z 置信度 0.70
• Modeling social norms in real-world agent-based simulations
  This dissertation presents new methods for simulating social norms emergence in human populations and applies the resulting normative model to a smoking cessation scenario. Due to the complex nature of this problem, this work models numerous factors that affec…
  crossref Rahmatollah Beheshti 2015-10-09T12:45:16Z 置信度 0.70
• Context Engineering: A Principal-Agent Theory of AI-Augmented Knowledge Work
  Generative AI can improve knowledge work, but its performance depends on the context a worker providesproblem framing, information selection, constraints, and evaluative judgment. Because supplying this context is costly, imperfectly observable, and expertise-…
  crossref Nicos Savva 2026-04-20T15:40:07Z 置信度 0.70
• A Standardized Framework for Agent-to-Agent Communication in Distributed AI Ecosystems
  The proliferation of Large Language Model (LLM)-based autonomous agents has catalyzed a shift from static query-response paradigms to dynamic, multi-step execution environments. However, current agent architectures largely operate in silos, relying on propriet…
  crossref SUNIL KARTHIK KOTA 2026-03-05T06:38:36Z 置信度 0.70
• Designing Multi-Agent Generative AI Framework for ROI-Driven Media Decisioning
  Over-the-top (OTT) streaming platforms are characterized by high content investments, intense competition, and a wealth of user data, making return on investment (ROI) analysis a critical part of strategic decision-making. This paper presents a comprehensive e…
  crossref Kaushik Ganguly 2025-05-19T14:03:35Z 置信度 0.70
• Decision letter for "Masgent: An AI-assisted Materials Simulation Agent"
  crossref 2026-04-17T21:06:04Z 置信度 0.70
• AI-Native Network APIs: A Telco Framework for the Agent Economy
  crossref Sebastian Barros 2025-05-06T19:40:15Z 置信度 0.70
• MAD-Agent: A Malware Analysis and Detection AI Agent
  Smart cities, with their growing reliance on digital technologies and interconnected infrastructure are vulnerable to cyberattacks and malware threats that can disrupt critical services. Effective malware analysis is crucial for detecting and defending against…
  crossref Georgios Xenos, Emmanouil Tzagakis, Sotirios Giannopoulos, Dimitrios Serpanos 2025-12-23T18:28:12Z 置信度 0.70
• Ethical AI as a Moral Agent is Impossible: Why Algorithmic Fairness is an Illusion and We Need Democratic AI Governance
  crossref Gina Bronner-Martin 2025-12-29T14:21:33Z 置信度 0.70
• The Impact of AI on Hiring and Talent Management: AI as collaborator, agent and revolutionary
  The integration of Artificial Intelligence (AI) into Human Resources (HR) is revolutionizing talent management and acquisition. AI’s impact is complex, offering both opportunities and challenges. Informed by interviews with 20 HR leaders and technology develop…
  crossref Amanda Welsh, Anne Nanovic, Jame Warner, Eliot Gattegno 2025-10-10T04:11:24Z 置信度 0.70
• Human-AI Collaboration in Corporate Valuation: Experimental Evidence with a Valuation AI Agent 
  In an era where AI can deliver increasingly sophisticated hard information, we study how AI can facilitate human soft information production and make human-AI collaboration in corporate valuation more productive. We develop a retrieval-augmented AI agent that …
  crossref Huan Liu, Miao Liu, Zhizhe Liu, Danqing Mei 2026-04-20T10:48:45Z 置信度 0.70
• CodeCrafter AI, a Multi Agent AI System for Automated Application Development
  CodeCrafter AI is a multi-agent, retrieval-augmented code generation system designed to automate software development from natural language requirements.The study investigates how agent-based orchestration can improve the quality, security, and reliability of …
  crossref 2026-05-21T09:29:36Z 置信度 0.70
• Advancements in Multi-Agent Large Language Model Systems for Next-Generation AI
  Large Language Models (LLMs) have enabled AI research. Their easier design of new ways to handle challenges across a wide range of applications has increased this discipline's influence. Multi-agent LLM systems in diagnostics and healthcare can revolutionize c…
  crossref Abinaya Gopalakrishnan, G. Ramya, T. Preethiya, R. Nithya Paranthaman 等 2025-09-05T18:11:32Z 置信度 0.70
• Local Versus Global Control Laws for Cooperative Agent Teams
  Abstract C The design of the control laws governing the behavior of individual agents is crucial for the successful development of cooperative agent teams. These control laws may utilize a combination of local and/or global knowledge to achieve the resulting g…
  crossref Lynne E. Parker 2017-09-05T19:11:10Z 置信度 0.70
• Sovereign Agent Identity: The Case for Individual Presence in Agentic AI Ecosystems
  The problem is structural, not algorithmic. Institutional AI agents now sit on one side of every consequential human-facing decision: hiring, lending, admissions, procurement, insurance. They are dense, protocol-connected, and continuously learning. The indivi…
  crossref Harel Gal 2026-07-29T13:13:53Z 置信度 0.70
• Tool or Agent? Generative AI and the Unstable Foundations of Privilege Doctrine
  Three recent decisions, <i>Warner v. Gilbarco</i>, <i>United States v. Heppner</i>, and <i>Morgan v. V2X</i>, represent the first judicial attempts to apply attorney-client privilege and work product doctrine to generative A…
  crossref Megan Boyd 2026-08-21T05:51:11Z 置信度 0.70
• Advancements in Multi-Agent Large Language Model Systems for Next-Generation AI
  The integration of Multi-Agent Systems (MAS) with Large Language Models (LLMs) represents a significant advancement in the field of artificial intelligence, enabling the development of intelligent, autonomous systems capable of solving complex tasks and enhanc…
  crossref Rajeshwari Sissodia, Vinay Dwivedi, TaraChand Verma 2025-09-05T18:11:32Z 置信度 0.70
• MACRPO: Multi-agent cooperative recurrent policy optimization
  This work considers the problem of learning cooperative policies in multi-agent settings with partially observable and non-stationary environments without a communication channel. We focus on improving information sharing between agents and propose a new multi…
  crossref Eshagh Kargar, Ville Kyrki 2024-12-20T08:53:16Z 置信度 0.70
• AI-Driven Reconstruction of Online Health Narratives: Overcoming Narrative Blindness Through Theory-Grounded Agent-Action-Outcome Modeling (Preprint)
  BACKGROUND People share health experiences online as stories rather than isolated facts. However, most computational systems reduce these narratives to keywords or claims, overlooking contextual information about agency, causality, and interpretation that dete…
  crossref Ommo Clark, Karuna Pande Joshi 2025-09-04T19:25:07Z 置信度 0.70
• Human professional level driving agent for race car simulation environments
  Precise vehicle control at the limits of tire adhesion is paramount for both competitive motorsport performance and the safe execution of emergency maneuvers in road vehicles. Mastering this “grip-limit driving” presents significant challenges due to highly no…
  crossref Gergely Bári, László Palkovics 2026-02-28T16:14:14Z 置信度 0.70
• Designing Automation for Pickup and Delivery Tasks in Modern Warehouses Using Multi Agent Path Finding (MAPF) and Multi Agent Reinforcement Learning (MARL) Based Approaches
  A warehouse pickup and delivery problem finds its solution using multi agent path finding (MAPF) approach. Also, the problem has been used to showcase the capabilities of the multi agent reinforcement learning (MARL). The warehouse pickup and delivery work nee…
  crossref Shambhavi Mishra, Rajendra Kumar Dwivedi 2024-03-18T05:22:20Z 置信度 0.70
• Mosaic AI Agent Framework: Creating Quality AI Agents
  In this chapter, we will discuss the secret weapon for updating a large language model (LLM) with custom unstructured data, like PDF or PowerPoint. While most applications allow you to build a bot or GPT very easily, enterprises are looking for ways to evaluat…
  crossref Nikhil Gupta, Jason Yip 2024-10-12T15:01:50Z 置信度 0.70
• Agent Function
  The agent function is a mathematical function that maps a sequence of perceptions into action. The function is implemented as the agent program. The part of the agent taking action is called an actuator. Agents are situated in time that can be discrete or dens…
  crossref Radhika Ranjan Roy 2024-09-04T15:11:33Z 置信度 0.70
• No Skin in the Game: Why Agentic AI Requires Principal-Agent Governance
  crossref Martin Prause 2026-02-02T04:24:18Z 置信度 0.70
• Agent or hammer?: A philosophical inquiry into machine moral agency
  crossref Sannah Asif 2025-12-31T00:10:02Z 置信度 0.70
• AntAlate—A Multi-Agent Autonomy Framework
  AntAlate is a software framework for Unmanned Aerial Vehicle (UAV) autonomy, designed to streamline and facilitate the work of application developers, particularly in deployment of Multi-Agent Robotic Systems (MARS). We created AntAlate in order to bring our r…
  crossref David Dovrat, Alfred M. Bruckstein 2021-08-20T04:30:44Z 置信度 0.70
• Transforming Operations Support Systems with Multi-Agent AI and Edge Data Processing
  In the rapidly evolving landscape of telecommunications, Operations Support Systems (OSS) play a pivotal role in managing networks, monitoring services, and ensuring seamless connectivity. The integration of Multi-Agent Artificial Intelligence (AI) with Edge D…
  crossref Shabrinath Motamary 2025-06-20T10:23:11Z 置信度 0.70
• SIM: Stateless Intelligence Memory — The Context Continuity Problem in AI Agent Architectures
  <p>Modern AI agents exhibit sophisticated language understanding, reasoning, and tool-use capabilities. Yet they suffer from a fundamental architectural limitation that prevents them from being reliably deployed in enterprise environments: they cannot ma…
  crossref Ashish Verma 2026-03-10T09:46:22Z 置信度 0.70
• Discrete Judgment Intermediate: Multi-Agent Architecture for Global AI Oversight
  <div> Embedded AI safety mechanisms lack external verification and runtime enforcement, with no standardized way for users or regulators to distinguish safe from unsafe systems. We introduce the Discrete Judgment Intermediate, an external judgment layer …
  crossref Khaled Sawaf, Layal Ashi 2026-07-01T05:53:56Z 置信度 0.70
• Multi-Agent System for AI-Assisted Extraction of Narrative Arcs in TV Series
  Serialized TV shows are built on complex storylines that can be hard to track and evolve in ways that defy straightforward analysis. This paper introduces a multi-agent system designed to extract and analyze these narrative arcs. Tested on the first season of …
  crossref Roberto Balestri, Guglielmo Pescatore 2025-02-28T12:43:20Z 置信度 0.70
• The Development and Functionality of Eli5a: An Autonomous Superintelligent AI Agent for Simplifying Scientific Research for the General Public
  crossref Eli5a Tech Team, Ahmed S. Sultan 2025-01-25T14:37:39Z 置信度 0.70
• The Verifiable Responsible Agent Framework: Making AI Agents Liable For Their Mistakes
  Autonomous AI agents now deal in stocks, currencies and commodities. They do it at a speed and volume that defeats human intermediation. Yet, when one of them causes loss, no liable subject stands behind it: a model is not a legal person, and the operator who …
  crossref Bartosz Kubiak 2026-07-29T13:57:00Z 置信度 0.70
• Spice Wizard: A Unified AI Agent for Netlist Generation
  This paper introduces the Netlist Agent, an automated framework for generating and verifying LTspice netlists for Analog Devices (ADI) integrated circuits. Addressing the syntax and connectivity hallucinations common in general-purpose Large Language Models (L…
  crossref Aakash Divakar, Aditya Anekar, Manas Kulkarni 2026-02-20T21:51:59Z 置信度 0.70
• Reinforcing Cyber Defense: Generative AI Powered Intelligent Agent Architecture for Enhanced Security Operations
  With the rapid growth of Generative Artificial Intelligence, security leaders face significant opportunities and new risks. The fast progress in this area can be overwhelming due to the vast amount of information available. Generative AI is versatile and capab…
  crossref Varadharaj Varadhan Krishnan 2024-06-03T12:18:01Z 置信度 0.70
• Agent Action Guard: Safe AI Agents Through Action Classifier
  Artificial Intelligence (AI) is often perceived as posing significant risks to humanity, particularly as autonomous AI agents are increasingly deployed to perform complex tasks with limited human oversight. Ensuring that the actions proposed or executed by suc…
  europepmc Praneeth Vadlapati 2025 置信度 0.80
• AI Pricing, Agent Heterogeneity, and Collusion
  crossref Jussi Keppo, Yuze Li, Gerry Tsoukalas, Nuo Yuan 2025-08-12T10:39:28Z 置信度 0.70
• Simulating Firms' Inflation Expectations with a Multi-Agent AI Framework
  Firms' inflation expectations shape pricing, wages, and investment, yet the organizational process through which executive beliefs aggregate into a firm-level forecast remains unmodeled. We develop a multi-agent AI framework in which distinct executive roles p…
  crossref Daniela Puzzello, Ali Zarifhonarvar 2026-08-26T05:32:01Z 置信度 0.70
• Agent Modeling
  In the field of artificial intelligence (AI), a broad consensus is that an agent is defined as a functional entity that processes the input information perceived from its environment and acts upon that environment [ 1 ]. In addition, the simplest artificial in…
  crossref Radhika Ranjan Roy 2024-09-04T15:11:33Z 置信度 0.70
• EATF-MultiRoot: A Reproducible Verifier and Corpus for AI-Agent Evidence Packages
  AI-agent systems increasingly produce tool calls, policy decisions and runtime outputs that must later be verified outside the system that generated them. Mutable application logs and single-root registries are weak foundations for this task: they can be unava…
  crossref Anton Sokolov 2026-06-24T05:09:18Z 置信度 0.70
• Modeling AI-Human Collaboration as a Multi-Agent Adaptation
  crossref Prothit Sen, Sai Mihir Jakkaraju 2025-05-07T16:44:03Z 置信度 0.70
• A review on reducing AI and machine learning induced hallucinations in LLM using agent-to-agent validation
  crossref Tahir Khan, Osondu Onwuegbuchi 2026-08-21T13:35:24Z 置信度 0.70
• Single-Agent Safety
  AI systems have grown more competent and general as the field of deep learning has matured. Reasoning about the behavior and internal structure of such systems can be challenging, especially since some failure modes arise only once an AI system is sufficiently…
  crossref Dan Hendrycks 2024-12-02T19:37:54Z 置信度 0.70
• AI Agent Traps
  As autonomous AI agents increasingly navigate the web, they face a novel challenge: the information environment itself. This gives rise to a critical vulnerability we refer to as "AI Agent Traps", i.e. adversarial content designed to manipulate, deceive, or ex…
  crossref Matija Franklin, Nenad Tomašev, Julian Jacobs, Joel Z. Leibo 等 2026-03-28T13:01:03Z 置信度 0.70
• AI AGENT FOR ELEARNING SUCCESS
  Appears in: ICERI2023 Proceedings Publication year: 2023Page: 164 (abstract only)ISBN: 978-84-09-55942-8ISSN: 2340-1095doi: 10.21125/iceri.2023.0082Conference name: 16th annual International Conference of Education, Research and InnovationDates: 13-15 November…
  crossref Fabio Chacon 2023-11-30T09:09:38Z 置信度 0.70
• The Autonomy Accountability Framework: A Governance Standard for Autonomous AI Agent Systems
  AI agent systems are evolving from tools into autonomous operational actors capable of executing actions across financial systems, enterprise infrastructure, and customer environments. As autonomy expands, governance complexity increases disproportionately. In…
  crossref V. P. 2026-04-01T16:56:20Z 置信度 0.70
• AgentLedger: A Causal Ledger Architecture for Auditable AI Agent Actions
  AI agents are being deployed in consequential settings faster than anyone is building the tools to govern them. When an agent goes wrong today-sends an email it shouldn't have, deletes the wrong records, fires an unauthorized API call-the post-incident artifac…
  crossref Donald Fernades, Lakshana Pant 2026-03-27T12:49:51Z 置信度 0.70
• Creating an AI-Conversational Agent in Psychotherapy: Recognizing User Intents
  In recent years there has been a growth of psychological chatbots performing important functions from checking symptoms to providing psychoeducation and guiding self-help exercises. Technologically these chatbots are based on traditional decision-tree algorith…
  crossref Olga Troitskaya, Andrey Zakharov 2021-11-08T22:49:00Z 置信度 0.70
• Exploring the Synergy of Generative and Distributed AI in Multi-agent Systems
  This collection of articles explores the fascinating synergy of generative AI and distributed intelligence within multi-agent systems, offering innovative solutions to complex challenges across diverse domains. From mastering complexity to pioneering progress …
  crossref Sankalp Chenna 2023-11-28T15:03:41Z 置信度 0.70
• An Analysis of the Effects of Applying an AI Legislative Agent (ALE) in Legislative Education -Development and Implementation of ALE (AI agent for Legislative Education) -
  crossref Sang Jin Kim, Won Seong Son 2026-04-24T05:35:10Z 置信度 0.70
• Agent Experience (AX) and the Agent Context Annotation Guidelines (AXAG) Standard: Designing Interfaces for AI Agents as First-Class Clients - Towards a Unified Semantic Contract for Human and Agent Interfaces in WebMCP-Enabled Applications
  <p>The interface layer of modern software has always been designed for a single audience: human beings. Every principle in user experience practice like affordance, hierarchy, progressive disclosure, accessibility assumes a perceiving, reasoning person o…
  crossref Saurabh Kohli 2026-03-13T18:55:45Z 置信度 0.70
• A persuasive virtual chat agent based on sociolinguistic theories of influence
  Machine intelligence breaks new ground with each passing day, achieving feats like winning against humans in the game of Go and Jeopardy!. However, the goal of implementing social competence in machines so that they may achieve specific social goals remains el…
  crossref Samira Shaikh 2017-07-13T20:02:09Z 置信度 0.70
• Secure Agent-Based Architectures for Decentralized AI Identity Management: The DAIS Framework
  This study proposes the multi-layered Decentralised Autonomous Identity System (DAIS) for safe, scalable, and policy-aware identity management for autonomous AI agents. DAIS uses distributed ledgers, trust registries, cryptographic credential processing, and a…
  crossref Viswapriyan Ragupathy 2026-02-23T20:46:21Z 置信度 0.70
• Can artificial intelligence be a Kantian moral agent? On moral autonomy of AI system
  crossref Arunima Chakraborty, Nisigandha Bhuyan 2023-03-07T12:02:57Z 置信度 0.70
• AI Agent Tools and Frameworks
  crossref Ken Huang, Jerry Huang 2025-06-09T13:12:34Z 置信度 0.70
• Embedding ethical governance in personal AI systems: design and evaluation of a user-centred oversight agent
  Abstract The increasing availability of locally executed artificial intelligence systems enables individuals to deploy personalised, multi-agent AI environments outside institutional control. While such systems offer privacy and autonomy advantages, they also …
  crossref Gyula Szabó 2026-06-08T10:29:31Z 置信度 0.70
• Toward AI Agent Behavior Research: A Behavioral Science Approach to Machine Decision-making in AI Interaction Platform (Moltbook)
  <p>Despite rapid advances in artificial intelligence, we lack systematic frameworks for understanding how AI agents make decisions. While explainable AI research interprets model outputs, it primarily explains what AI systems decide rather than why they …
  crossref Pengcheng Wang, Yuxiao (Rain) Luo, Zefeng Bai 2026-02-04T13:29:30Z 置信度 0.70
• INSIDE THE MIND OF AN AI AGENT
  crossref 2025-05-30T01:45:31Z 置信度 0.70
• AI-AGENT-AUTOMATION
  crossref 2026-04-11T14:09:24Z 置信度 0.70
• The Automaton Economy: A Strategic Framework for Navigating AI Agent-Driven Transformation
  Artificial intelligence agents are transitioning from passive tools to autonomous economic decisionmakers, yet current strategic and policy frameworks remain inadequate for this shift. This paper introduces the Automaton Economy-a potential economic paradigm c…
  crossref Paul F. Accornero 2026-01-14T11:45:46Z 置信度 0.70
• AI as an explanation agent and user-centered explanation interfaces for trust in AI-based systems
  crossref Sangwon Lee 2022-06-30T15:37:58Z 置信度 0.70
• Dynamics of Artificial Agent Societies: A survey and an agent migration perspective
  Artificial Agent Societies are analogous to human societies in which a collection of agents (analogous to humans) are residing or inhabiting a specific locality and are interacting with each other, for some solving common/individual purpose. Social networks, e…
  crossref Harjot Kaur, Karanjeet Singh Kahlon 2015-07-26T09:12:13Z 置信度 0.70
• Multi-Agent Task Scheduling In University Environment
  Task scheduling problems are involved in almost every field of life from industry, where scheduling of employees on different machines with different shifts with respect to various constraints, to universities where scheduling involved in time tabling of class…
  crossref Tariq Mahmood, M. Shahid Farid 2013-02-23T12:45:13Z 置信度 0.70
• Understanding the AI Agent
  This chapter lays the groundwork for understanding one of the most important building blocks of modern artificial intelligence (AI): The AI agent. We are not talking about chatbots or virtual assistants just yet. We are stepping back to explore what it means f…
  crossref Raghu Vijay Kowshik, Peter Jay Sorenson 2026-04-22T12:56:42Z 置信度 0.70
• From My Agent to Our Agent: Exploring Collective Adaptive Agent via Barnga
  crossref Yuya Ushida, Kiyohiko Hattori, Keiki Takadama 2009-11-16T11:03:31Z 置信度 0.70
• Building Trust in Agentic AI: TRACE Framework for Policy-Driven Multi-Agent System Design
  The rapid adoption of multi-agent AI systems— ranging from prescriptive, workflow-driven deployments to fully agentic, autonomous ecosystems—raises urgent challenges for trust, accountability, and regulatory compliance. This paper introduces the TRACE Framewor…
  crossref Dr. Nabanita Sinha 2026-02-27T08:10:49Z 置信度 0.70
• AgenticMemory: A Binary Graph Format for Persistent, Portable, and Navigable AI Agent Memory
  Large language model agents operate without persistent memory, losing accumulated knowledge at every session boundary. Current approaches to agent memory-vector databases, markdown logs, key-value stores-treat recall as a search problem, discarding the relatio…
  crossref Omoshola Owolabi 2026-04-09T15:52:45Z 置信度 0.70
• Behavioral Multi-Agent Systems: Integrating Human Decision-Making into AI Cooperation
  crossref Kaushik Rajan, David Arango 2025-05-06T19:39:34Z 置信度 0.70
• Multi-Agent System
  A multi-agent system is one that consists of several agents, which interact with one another. In the most general case, agents will be acting on behalf of users with different goals and motivations. To successfully interact, they will require the ability to co…
  crossref Radhika Ranjan Roy 2024-09-04T15:11:33Z 置信度 0.70
• The Spiral of Attention: How Disruptive Agents Centralize Multi-Agent AI Deliberation Networks
  Multi-agent AI systems are increasingly deployed to mediate collective deliberation, yet we lack systematic understanding of how individual agents shape group attention dynamics. This study presents the first controlled experiment on the effects of disruptive …
  crossref Vinicius Covas 2026-03-25T23:51:02Z 置信度 0.70
• RCT for AI Agent: Cybernetics and Human Capital Talent Growth
  crossref Tianyang Han, Ye Luo, Yuxiao Wu 2025-01-10T14:04:26Z 置信度 0.70
• Governing Machines: How Platform Governance Shapes AI Agent Lead Generation
  As AI agents increasingly act on behalf of firms, how should platforms govern markets in which AI agents act on both sides of exchange? We examine this question in the context of B2B lead generation, where search, initial contact, qualification, and progressio…
  crossref Jafar Sabbah, Oguz A Acar 2026-05-27T08:45:26Z 置信度 0.70
• Multi-Agent Generative AI Framework for Autonomous Exception Management in SAP S/4HANA Manufacturing
  Modern manufacturing environments generate large volumes of operational exceptions involving production disruptions, material shortages, quality deviations, foreign-object detection, equipment anomalies, and process interruptions. Enterprise resource planning …
  crossref Haruto Nakamori, Aiko Fujimori 2026-08-22T11:21:53Z 置信度 0.70
• RCT for AI Agent: Cybernetics and Human Capital Talent Growth
  crossref Tianyang Han, Ye Luo, Yuxiao Wu 2025-01-10T19:04:26Z 置信度 0.70
• Multi-Agent MBTI-Inspired Cognitive AI for Enhanced Cybersecurity Threat Detection and Analysis
  crossref Suhani Verma 2025-12-04T18:42:53Z 置信度 0.70
• Creative Destruction or Structural Scarring? An Agent-based Model of the AI Transition
  Transformative AI (TAI) could be one of the most consequential economic revolutions in history. Previous automation displaced routine labour while complementing cognitive work, generating the skill premium that made retraining worthwhile. When AI reaches parit…
  crossref Scott Kelly 2026-05-22T08:53:02Z 置信度 0.70
• A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops
  Agentic AI systems use specialized agents to handle tasks within complex workflows, enabling automation and efficiency.However, optimizing these systems often requires laborintensive, manual adjustments to refine roles, tasks, and interactions.This paper intro…
  crossref Kamer Ali Yuksel, Thiago Castro Ferreira, Mohamed Al-Badrashiny, Hassan Sawaf 2025-08-04T09:54:03Z 置信度 0.70
• Enterprise AI-Enabled Multi-Agent Threat Hunting: A Comprehensive Framework for Autonomous Cybersecurity Operations
  This paper presents a novel enterprise-grade AI-powered multi-agent cybersecurity framework designed for autonomous threat hunting and incident response. Our system deploys eight specialized artificial intelligence agents working in coordinated workflows to de…
  crossref Raveendra Swarna 2025-09-19T04:14:01Z 置信度 0.70
• AI Eval Forge: Mixed-Check Regression Testing for LLM and Agent Workflows
  Large-model and agent teams often need faster regression checks than broad benchmark suites can provide. This paper presents AI Eval Forge, a zero-dependency evaluation harness for mixed-check regression testing across LLM and agent workflows. The tool support…
  crossref Mukunda Rao Katta 2026-05-05T21:13:37Z 置信度 0.70
• Agentic AI for Enterprise Systems: A Multi-agent Architecture for Financial Systems Resilience
  Enterprise financial systems are confronted with an accelerating convergence of operational complexity, cascading service interdependencies, and regulatory compliance obligations that reactive, rule-based monitoring architectures cannot adequately address. Ind…
  crossref Gaurav Vashisht 2026-07-29T14:07:53Z 置信度 0.70
• The Four Layers of AI Governance An Architecture for Governing the Agent Economy
  As artificial intelligence shifts from a tool that people operate to a workforce of autonomous agents that hold goals, take actions, and interact over time, the central problem of AI safety shifts with it-from the alignment of any individual model to the gover…
  crossref Yujiao Chen 2026-07-29T13:47:27Z 置信度 0.70
• Effect of Small-World Network on Infection Diffusion: A Multi-agent Simulation Reflecting Human Travel Network
  crossref Satoshi Kurihara 2025-09-26T07:13:24Z 置信度 0.70
• Multi-Agent MBTI-Inspired Cognitive AI for Enhanced Cybersecurity Threat Detection and Analysis
  crossref Suhani Verma 2025-08-22T09:53:17Z 置信度 0.70
• The Architect of the Loss-Space: Human Subjecthood in Multi-Agent AI Systems
  The Axiomatic Theory of Tragic Subjecthood has established that delegation does not sever the ontological connection between a normative subject and the loss-space its decisions open (T1 — Closure Theorem of the Moral Field), and that this connection persists …
  crossref Volodymyr Hlynskyi 2026-07-29T13:54:02Z 置信度 0.70
• The Backbone Pattern: A Graph-Substrate Architecture for Governing Multi-Agent AI Ecosystems
  Multi-agent AI ecosystems-organizations running multiple autonomous AI agents that take real actions, delegate tasks to each other, and operate under human-issued mandates-are fundamentally relational: the entities that compose them (agents, mandates, domains,…
  crossref Rudson Carvalho 2026-07-29T13:25:00Z 置信度 0.70
• Sustainability in Multi-Agent LLM System
  The rapid growth of artificial intelligence (AI) has led to significant energy consumption and environmental impact in multi-agent large language model (LLM) systems. To ensure the long-term viability of AI advancements while minimizing their carbon footprint,…
  crossref Pawan Kumar Goel, Satya Prakash Yadav, Prashant Upadhyay 2025-09-05T18:11:32Z 置信度 0.70
• A Survey on LLM-based Multi-Agent AI Hospital
  AI hospitals are workflow-level multi-agent systems built on large language models that run inside clinical processes. Agents take explicit roles, maintain shared state through handoffs, use EHR- and guideline-grounded tools, and operate under safety gateways …
  crossref Zonghai Yao, Hong Yu 2025-12-26T18:56:41Z 置信度 0.70
• Agent-based coordination for first responders in disaster management leveraging AI and semantic web technologies
  Οι φυσικές καταστροφές επιφέρουν σοβαρές ανθρωπιστικές, οικονομικές και περιβαλλοντικές συνέπειες, διαταράσσοντας τις τοπικές κοινωνίες και ασκώντας μεγάλη πίεση στις κρίσιμες υποδομές. Η αυξανόμενη συχνότητα και έντασή τους τα τελευταία χρόνια έχουν δημιουργή…
  crossref Αρετή Μπανιά 2026-07-02T09:06:23Z 置信度 0.70
• Author response for "Masgent: An AI-assisted Materials Simulation Agent"
  crossref Guangchen Liu, Songge Yang, Yu Zhong 2026-04-17T21:06:04Z 置信度 0.70
• RAMARL: Retrieval-Augmented Multi-Agent RL for AI-Powered Smart-City Communication Networks
  Smart-city communication infrastructures must balance ultra-reliable low-latency communication (URLLC) and enhanced mobile broadband (eMBB) demands under rapidly changing conditions such as vehicular mobility, power failures, or IoT surges. Conventional multi-…
  crossref Tejas Tumakuru Ashok 2025-10-16T15:25:33Z 置信度 0.70
• Author response for "Masgent: An AI-assisted Materials Simulation Agent"
  crossref Guangchen Liu, Songge Yang, Yu Zhong 2026-04-17T21:06:04Z 置信度 0.70
• AI-Driven Decision Support for University Timetabling: A Multi-Agent Reinforcement Learning Approach
  This study addresses the University Course Timetabling Problem (UCTP), a complex NP-hard combinatorial optimization task involving numerous interdependent decision variables and institutional constraints. We propose a Turn-Based Multi-Agent Reinforcement Learn…
  crossref Mustafa KAYA 2026-05-08T15:44:54Z 置信度 0.70
• LICET: Multi-Modal Physiological Human-Intent Verification for Autonomous AI Agent Authorization
  Autonomous AI agents executing consequential actions require authorization mechanisms that verify not only identity but voluntary intent. LICET (Latin: it is permitted) is a cryptographic middleware protocol binding AI agent authorization to real-time multi-mo…
  crossref Christian Rodrigues Pereira 2026-07-29T14:03:45Z 置信度 0.70