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• Poster: Custody-Preserving AI Agent Delegation for Decentralized Applications via World AI Protocol
  We present the World AI Protocol (WAI), a capability-based delegation framework that retains externally owned account custody while granting revocable function-level permissions to autonomous agents. From a design perspective, WAI enforces bounded authority th…
  crossref Xinyao Sun, Xiao Wu, Shuyi Zhang, Jinghan Sun 2025-12-24T18:43:25Z 置信度 0.70
• Fostering Empathy and Enhancing Creativity in Human-AI Agent Dialogues
  This article elucidates the process by which empathy is fostered, and creativity is promoted in designers' thoughts through dialogues between AI agents and humans. By constructing a knowledge graph and employing nudge theory-based interactions, empathy is cult…
  crossref Masaki Shimada, Takuma Miyata, Kento Sasaki, Takahiro Suda 等 2025-07-06T07:22:48Z 置信度 0.70
• INTELLIGENT SUSTAINABILITY: AI-AGENT SYSTEM FOR SUSTAINABLE FASHION MARKETING
  crossref Guan Yue, Xu Misha 2025-07-14T07:47:37Z 置信度 0.70
• Circuit-AI: An Advanced Large Language Model (LLM) Based AI-Agent for Bill of Materials (BoM) Optimization, Circuit Simulations & Design
  This paper introduces Circuit-AI, an AI-driven design assistant that leverages large language models (LLMs) to enhance efficiency in power electronics design. By integrating natural language processing with engineering workflows, Circuit-AI streamlines critica…
  crossref Vishwam Raval, Mohamed Zeid, Prasad Enjeti 2025-12-03T18:38:34Z 置信度 0.70
• Enhancing AI Decision-Making: Sensitivity Analysis, Hyperparameter Optimization, Multi-Agent Collaboration, and AI-Human Comparisons
  crossref Manish Kumar, Dr Jugnesh Kumar 2025-07-28T11:35:22Z 置信度 0.70
• AI-EduAgent: A Decentralized Autonomous AI Agent for Real-Time Adaptive Personalized Learning
  This paper aims to introduce AI-EduAgent, a decentralized learning framework that combines Multi-Agent Reinforcement Learning and neuro-adaptive AI to provide real-time, personalized, student-specific learning pathways. AI-EduAgent is different from convention…
  crossref Yannam Bharath Bhushan, A.Prakash, Muhammed Al-Fatlawi, K. Krishnaveni 等 2025-10-17T17:38:30Z 置信度 0.70
• What 2025 taught us about AI agent security: A practitioner’s guide to the incidents shaping enterprise adoption
  This paper examines security incidents affecting artificial intelligence (AI) coding assistants and enterprise AI agents during 2025, providing security teams with practical guidance for risk assessment and mitigation. The paper synthesises notable vulnerabili…
  crossref Tim Williams 2026-03-29T09:22:26Z 置信度 0.70
• AI-HOPE: an AI-driven conversational agent for enhanced clinical and genomic data integration in precision medicine research
  Abstract Motivation The growing complexity of clinical cancer research has fueled a surge in demand for automated bioinformatics tools capable of integrating clinical and genomic data to accelerate discovery efforts. Results We present the Artificial Intellige…
  crossref Ei-Wen Yang, Enrique Velazquez-Villarreal 2025-06-18T07:56:46Z 置信度 0.70
• An AI Agent to Train Our Humanity-Ness?
  Usually, emotions are linked to human interactions or reactions to a situation (Stowell & Warren, 2018; Voronov, 2014). A place is dedicated in literature to the link between learning and emotions (Hökkä, Vähäsantanen & Paloniemi, 2020). However, several insti…
  crossref Aurore Dandoy, Raphaël FALCO, Abir FEKIH 2025-11-07T15:38:56Z 置信度 0.70
• Academic Advising Chatbot Powered with AI Agent
  Academic advising plays a crucial role in fostering student success. However, challenges such as limited advisor availability can hinder effective support. Generative AI, particularly AI-powered chatbots, offers the potential to enhance student advising in hig…
  crossref Michael Tamascelli, Olivia Bunch, Blake Fowler, Maryam Taeb 等 2025-05-08T15:11:23Z 置信度 0.70
• The babel of the bots: semantic collapse in multi-agent AI and the case for a Lingua Franca
  crossref Ananya Hadadi Raghavendra, Vivek Nagarajan 2025-10-15T11:34:31Z 置信度 0.70
• Looking to the Future
  Abstract In this book, we first continue the discussion from our previous work, focusing on financial argument mining concepts, specifically forward-looking argument mining. We then explore recent trends in agent-based approaches, including single-agent design…
  crossref Chung-Chi Chen, Hiroya Takamura 2025-07-16T11:56:42Z 置信度 0.70
• A Synergistic Multi-Agent Framework for Resilient and Traceable Operational Scheduling from Unstructured Knowledge
  In capital-intensive industries, operational knowledge is often trapped in unstructured technical manuals, creating a barrier to efficient and reliable maintenance planning. This work addresses the need for an integrated system that can automate knowledge extr…
  crossref Luca Cirillo, Marco Gotelli, Marina Massei, Xhulia Sina 等 2025-11-25T16:31:54Z 置信度 0.70
• AI Managing Agent-Based Healthcare Processes
  This paper describes a methodology for Evolving Systems Supporting Governance, Regulation, Control, Safety, and Security in personalised healthcare. To embrace AI in any critical system, any stochastic advantage of time or resource saving needs to be trusted, …
  crossref Simon Grange, Pearl Rwauya, Safa Alameri, Rami Bahsoon 2025-10-15T13:24:47Z 置信度 0.70
• How Do People Evaluate Their Interactions with AI: A Qualitative Study of Emotionally Motivated AI Use and User Evaluation
  As AI becomes increasingly embedded in daily life, people are turning to these systems for emotional and personal reasons more frequently. Drawing on critical interviews with 10 young adults, this study examines emerging patterns in how users perceive and navi…
  crossref Ege Otenen, Priya Jain, Erik Stolterman 2026-01-02T14:07:31Z 置信度 0.70
• A Preliminary Study of AI Agent Model in Machine Translation
  We present IR_Multi-agentMT, our submission to the WMT25 General Shared Task.The system adopts an AI-agent paradigm implemented through a multi-agent workflow, Prompt Chaining, in combination with RUBRIC-MQM, an automatic MQM-based error annotation metric.Our …
  crossref Ahrii Kim 2025-11-08T12:29:45Z 置信度 0.70
• A Generalist AI Agent SIMA
  Developing a universal artificial intelligence agent, a subset of Artificial General Intelligence (AGI), is one of the most complex challenges in modern science. Such an agent must generalize knowledge, learn new skills without explicit programming, adapt to u…
  crossref Mykola Glybovets, Nazarii Bachynskyi 2025-05-16T11:07:40Z 置信度 0.70
• Mission-Critical Policy Decisions in a Pandemic: Japan’s Use of AI and Complex Systems Simulation in COVID-19 Response
  crossref Hiroaki Kitano 2025-09-26T06:40:59Z 置信度 0.70
• Countering AI-Agent Level Bot Swarms on the Onion Network: A Multimodal Defense Framework for Anonymous Human-Only Access
  crossref Javad Khoshnevisan 2025-07-10T12:18:28Z 置信度 0.70
• Agent-Specific Privacy Layer Architecture for Privacy-Preserving Data Transfer in Autonomous AI Systems: A Theoretical Framework and Design Specification
  Autonomous AI agent systems are increasingly deployed as intermediaries between sensitive data sources and various external systems, creating significant privacy vulnerabilities during data transfer operations. Recent developments in large language model (LLM)…
  crossref Aarshiya Khandelwal 2025-06-06T00:12:33Z 置信度 0.70
• An Autonomous RL Agent Methodology for Dynamic Web UI Testing in a BDD Framework
  Modern software applications demand efficient and reliable testing methodologies to ensure robust user interface functionality. This paper introduces an autonomous reinforcement learning (RL) agent integrated within a Behavior-Driven Development (BDD) framewor…
  crossref Ali Hassaan Mughal 2025-07-22T09:13:29Z 置信度 0.70
• MULTI-AGENT AI ARCHITECTURES FOR DRUG DISCOVERY: A PROTOTYPE USING FREESOLV
  This study explores the design and implementation of an AI agent architecture aimed at improving early-stage drug discovery through molecular property prediction. The central research question is: Can an AI multi-agent system effectively predict solvation free…
  crossref Jessica Araujo Sciammarelli 2025-11-05T00:48:34Z 置信度 0.70
• Vision: How to fully unleash the productivity of Agentic AI? Decentralized Agent Swarm Network
  Recent advances in LLM-based agents demonstrate impressive autonomy yet remain isolated and static, limiting trustless collaboration and dynamic coordination. In this paper, we envision a decentralized swarm architecture, AgentaNet, where autonomous agents sea…
  crossref Rui Sun, Zhipeng Wang, Jiahao Sun, Rajiv Ranjan 2025-06-18T00:05:32Z 置信度 0.70
• Multi-Agent Geophysical AI Workflow for Automated Reservoir Characterization
  Traditional geophysical workflows like reservoir characterization are driven in a collaborative manner where teams of geoscientists share their individual analyses to inform key decisions made by executives. However, these workflows are repetitive, time-consum…
  crossref M Quamer Nasim, Paresh Nath Singha Roy, Tannistha Maiti 2025-11-06T19:09:33Z 置信度 0.70
• From 'Custom' to 'Code': A Doctrine of Functional Norms for Emergent Practices in AI Agent Interactions
  <div> <div> <div> AI agents develop emergent practices—unwritten de facto rules of interaction—in multi-party environments to coordinate behavior and allocate risk. These practices, although akin to human informal practices that the law has l…
  crossref Anirban Mukherjee, Hannah Hanwen Chang 2025-08-22T11:55:56Z 置信度 0.70
• Agent AI in Cybersecurity: A Novel Multi-Agent Architecture for Proactive Phishing Detection
  Phishing remains one of the most persistent and evolving cyber threats, exploiting human vulnerabilities and adaptive attack strategies to evade traditional defenses. While machine learning (ML) and deep learning (DL) approaches have improved detection rates, …
  crossref Moushmee Kuri, Suruchi Deshmukh, Madhukar Nimbalkar, Hyderali Hingoliwala 等 2026-01-13T20:55:18Z 置信度 0.70
• Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms
  Large Language Model (LLM) agents face security vulnerabilities spanning AI-specific and traditional software domains, yet current research addresses these separately. This study bridges this gap through comparative evaluation of Function Calling architecture …
  crossref Tarek Gasmi, Ramzi Guesmi, Ines Belhadj, Jihene Bennaceur 2025-07-24T22:05:25Z 置信度 0.70
• Human-AI collaboration in Hybrid Multi-Agent Systems
  This paper examines Hybrid Multi-Agent Systems, integrating both human and non-human intelligent agents, as a new subject of management research. It presents original definitions of key concepts: intelligent agents, artificial intelligent agents, and Hybrid Mu…
  crossref Rafal Labedzki 2025-10-22T11:16:29Z 置信度 0.70
• Memory OS of AI Agent
  Large Language Models (LLMs) face a crucial challenge from fixed context windows and inadequate memory management, leading to a severe shortage of long-term memory capabilities and limited personalization in the interactive experience with AI agents.To overcom…
  crossref Jiazheng Kang, Mingming Ji, Zhe Zhao, Ting Bai 2025-11-08T12:29:45Z 置信度 0.70
• Multi-agentMT: Deploying AI Agent in the WMT25 Shared Task
  We present Multi-agentMT, our system for the WMT25 General Shared Task.The model adopts Prompt Chaining, a multi-agent workflow combined with RUBRIC-MQM, an automatic MQM-based error annotation metric.Our primary submission follows a Translate-Postedit-Proofre…
  crossref Ahrii Kim 2025-11-08T12:29:45Z 置信度 0.70
• Deterministic AI Agent Personality Expression through Standard Psychological Diagnostics
  Artificial intelligence (AI) systems powered by large language models have become increasingly prevalent in modern society, enabling a wide range of applications through natural language interaction. As AI agents proliferate in our daily lives, their generic a…
  crossref J. M. Diederik Kruijssen, Nicholas Emmons 2025-03-18T13:45:21Z 置信度 0.70
• Development for an AI Agent-Powered System for Intelligent Quality Management Documentation
  The management of documentation within Quality Management Systems (QMS), particularly for standards like ISO 9001:2015, is a critical yet often inefficient process. Traditional methods are manual, time-consuming, and prone to human error, hindering organizatio…
  crossref Hieu Le Ngoc 2026-02-03T20:52:23Z 置信度 0.70
• Multi-scale Model Synergy
  Abstract In the previous chapters, we discussed the design of AI agents and models, as well as the potential of employing AI agents for various scales of collaboration and interaction. As mentioned in Sect. 1.3 , AI models should not be dismissed in the LLM er…
  crossref Chung-Chi Chen, Hiroya Takamura 2025-07-16T11:57:01Z 置信度 0.70
• Integrating Traditional Technical Analysis with AI: A Multi-Agent LLM-Based Approach to Stock Market Forecasting
  Traditional technical analysis methods face limitations in accurately predicting trends in today's complex financial markets. This paper introduces ElliottAgents, an multi-agent system that integrates the Elliott Wave Principle with AI for stock market forecas…
  crossref Michał Wawer, Jarosław Chudziak 2025-02-28T12:43:20Z 置信度 0.70
• Multi-agent graph exploration system
  The article considers the problem of simple undirected graphs exploration by multi-agent systems. The system considered in the article consists of three agents: two agents-researchers, that can move through the graph, read and change the labels of the graph el…
  crossref Stopkin A 2025-04-07T06:56:30Z 置信度 0.70
• AI-Driven Multi-Agent System for Real-Time Security Analysis of Software Releases
  The increasing complexity of modern software development necessitates intelligent, automated security analysis frameworks that can effectively pay attention of human on high-risk software releases. This paper introduces a MultiAgent System (MAS) framework desi…
  crossref Sergei Fedorov 2025-09-29T17:50:58Z 置信度 0.70
• ConvoGen: Enhancing Conversational AI with Synthetic Data: A Multi-Agent Approach
  In this paper, we present ConvoGen: an innovative framework for generating synthetic conversational data using multi-agent systems. Our method leverages few-shot learning and introduces iterative sampling from a dynamically updated few-shot hub to create diver…
  crossref Reem Gody, Mahmoud Goudy, Ahmed Y. Tawfik 2025-07-07T17:47:34Z 置信度 0.70
• Federated Multi-Agent Deep Reinforcement Learning for Task Offloading and Resource Allocation in Multi-WBAN MEC Systems
  Wireless Body Area Network applications demand reliable, low-latency task processing while operating under stringent energy and deadline constraints. Although mobile devices have achieved significant computational advances, they remain limited by processing ca…
  crossref Heba M. Khater, Farag Sallabi, Ezedin Barka, Mohamed Adel Serhani 2025-11-14T18:47:04Z 置信度 0.70
• Holistic Ethical Commons: A Dynamic Framework for Ethical Decision Making in Multi-Agent AI Systems
  As multi-agent artificial intelligence (AI) systems become increasingly integral to complex societal functions, ensuring ethical decision making within these networks emerges as a critical challenge. This research introduces the Holistic Ethical Commons (HEC) …
  crossref Raghavan Krishnasamy Lakshmana Perumal 2025-09-02T17:29:37Z 置信度 0.70
• LLM-Based AI Agent for VNF Deployment in OpenStack Environment
  This paper presents a novel approach to automating the deployment of Virtual Network Functions (VNFs) in an OpenStack environment using Large Language Models (LLMs). Building on the concept of Intent-Driven Networking (IDN), which allows network administrators…
  crossref Sukhyun Nam, Nguyen Van Tu, James Won-Ki Hong 2025-07-15T17:40:26Z 置信度 0.70
• Development of AI Agent Based on Large Language Model Platforms
  crossref Jianhui Chen, Yunchao Peng 2025-07-21T18:02:44Z 置信度 0.70
• Case Use Demonstration and Superior Image Generation Capabilities of Eli5a: An Autonomous Superintelligent AI Agent for Simplifying Scientific Research for the General Public
  crossref Ahmed S. Sultan 2025-01-26T17:08:28Z 置信度 0.70
• Risk of COVID-19 Infection at Home and in the Office
  crossref Setsuya Kurahashi 2025-09-26T06:41:48Z 置信度 0.70
• CONSUMERS’ ADOPTION TO DIGITAL TWIN AI AGENT APPLICATION
  crossref Tan Wenying, Yin Meiling, Eun-Ju Lee 2025-07-18T04:54:12Z 置信度 0.70
• Hybrid System Framework for AI Pipeline and AI Agent
  A significant task of comparing two core artificial intelligence (AI) architecture techniques: AI agents and AI pipelines. AI pipelines, which are linear, structured frameworks with sequential, static task execution, handle large-scale data processing. On the …
  crossref D. Ratna Giri, Chiranjeevi S. P. Rao Kandula, M. Srikanth, Sumitra Srinivas Kotipalli 等 2025-03-31T10:48:02Z 置信度 0.70
• An Analysis of How Generative Ai Affects Organization Decision-Making Processes within Organizational Behavior, Using Multi-Agent Systems
  crossref Yufeng Wu, Bing Bai 2025-03-27T07:39:14Z 置信度 0.70
• Issues of AI as an Agent: The Lack of Intrinsic Meaning in Symbols and the Challenges of Language Interpretation
  Symbols themselves do not inherently have intrinsic meaning. Their specific meaning is assigned through cognition (training) and constrained and restricted by context (training outcomes). However, natural language systems have vulnerabilities: symbols neither …
  crossref SHIH-WAI LIN 2025-02-11T15:14:17Z 置信度 0.70
• An Organizational Theory for Multi-Agent Interactions: Bridging Human Agents, LLMs, and Specialized AI
  Abstract Purpose: Recent advances in AI, especially in large language models (LLMs), have created new opportunities to integrate human and artificial agents through shared linguistic capabilities. This paper presents a multi-agent organizational framework in w…
  preprints Uwe M. Borghoff, Paolo Bottoni, Remo Pareschi 2025 置信度 0.74
• AI Agents: Agent GPT
  Abstract - Agent GPT is an advanced autonomous AI system designed to simulate human-like reasoning and task execution through the deployment of AI agents. Unlike traditional large language models that respond passively to user prompts, Agent GPT can plan, iter…
  crossref SHIVA SUMANTH REDDY 2025-06-16T06:19:46Z 置信度 0.70
• Mathematical Modeling of Norm Emergence via Conflict Resolution in Multi-Agent Systems
  This paper investigates some mathematical basis of norm emergence in multi-agent systems, where norm emergence is achieved by resolving conflicts among agents. We first define some concepts to describe the dynamics of norm emergence process, then analyze the a…
  crossref Gang Fu, Yuchen Wang, Lei Niu 2026-01-28T20:56:51Z 置信度 0.70
• Optimizing Multi-Agent System Swarm Performance Through Explainable AI
  Advancements in multi-agent systems (MAS) have enabled swarm-based systems to perform decentralized decision-making and autonomous tasks. However, optimizing their performance while ensuring transparency and interpretability remains a challenge. This paper int…
  crossref Shekhar Mahmud, Mustafa Kutlu, Alper Turan Alan 2025-05-12T17:38:36Z 置信度 0.70
• Demo of the Future: Autonomous Web3 AI Agent Showcase
  Web3 AI agents represent a groundbreaking fusion of artificial intelligence and blockchain technology, enabling the creation of autonomous agents capable of proactive decision-making and execution without reliance on centralized systems. By leveraging the dece…
  crossref Nikolay Larionov, Grigorii Melnikov, Yash Madhwal, Yury Yanovich 2025-08-14T18:34:30Z 置信度 0.70
• AI AGENT AUTOMATED TESTING SYSTEM WITH DECISION SUPPORT
  Enterprise-level server hardware testing faces significant challenges due to increasing hardware heterogeneity, high manual labor requirements, and limited intelligence in conventional testing frameworks. Traditional testing approaches often lack scalability, …
  crossref Hu Zezhi, Marifel Grace Kummer 2026-03-10T01:24:47Z 置信度 0.70
• Intelligent Messaging Channel Selector (IMCS) for Context-Aware AI Agent Communication
  Artificial Intelligence (AI) agents must interact with users across a fragmented landscape of messaging platforms, including SMS, WhatsApp, and RCS. Current agent communication strategies often rely on static preferences or simplistic fallback logic, failing t…
  crossref Rahul Goel 2026-03-19T20:04:02Z 置信度 0.70
• Beyond Chatbots: Athlete AI as an Emotional Support Agent for Adolescents
  In this study, we explored incorporating athlete personality traits into AI-based emotional support agents. We developed an athlete AI through a personality training process. A user study was conducted with four adolescents to compare athlete AI with tradition…
  crossref Ichen Lo, Muting Rau 2025-06-28T23:06:53Z 置信度 0.70
• MAARV: Multi-Agent Architecture for Runtime Verification
  The increasing adoption of AI agents for automated code analysis has exposed critical limitations in static evaluation methods, particularly when they fail to ensure runtime correctness. Traditional approaches, such as Agent as a Judge [15], often hallucinate …
  crossref Ajitava Deb, Arush Jauhari, Mridangam Goswami, Usha G 等 2026-01-19T20:52:17Z 置信度 0.70
• LLM-Based AI Agent for Sizing of Analog and Mixed Signal Circuit
  The design of Analog and Mixed-Signal (AMS) integrated circuits (ICs) often involves significant manual effort, especially during the transistor sizing process. While Machine Learning techniques in Electronic Design Automation (EDA) have shown promise in reduc…
  crossref Chang Liu, Emmanuel A. Olowe, Danial Chitnis 2025-08-14T18:34:19Z 置信度 0.70
• IMPLEMENTATION OF AN AI-AGENT TO MANAGE THE DENSITY OF LOGGING INSTRUCTIONS IN SOFTWARE
  Слекеничс А.Я. РЕАЛИЗАЦИЯ AI-АГЕНТА ДЛЯ УПРАВЛЕНИЯ ОБЪЕМОМ ЛОГИРОВАНИЯ В ПРОГРАММНОМ ОБЕСПЕЧЕНИИ // Universum: технические науки : электрон. научн. журн. 2025. 11(140). URL: https://7universum.com/ru/tech/archive/item/21332
  crossref Andrei Slekenichs 2026-01-10T05:21:43Z 置信度 0.70
• Research on the Application and Effect Evaluation of AI Agent in Automated Software Code Migration
  This study focuses on the application and effectiveness evaluation of artificial intelligence agents (AI agents) in software code automatic migration scenarios.In response to the complex legacy system technology debt, high manual migration costs, and cross lan…
  crossref 2026-01-12T10:00:13Z 置信度 0.70
• AI Agent-Driven Machine Learning Workflow Automation on AWS for Scalable Intelligent Applications
  The rapid growth of artificial intelligence (AI) and machine learning (ML) has necessitated the automation of workflows to ensure scalability and efficiency in the development of intelligent applications. This paper proposes an AI agent-driven approach to auto…
  crossref Suraj Eleti 2026-02-24T20:54:18Z 置信度 0.70
• Innovative AI Agent for Real-Time Drill Bit Selection Optimization
  Abstract Objectives/Scope Optimizing drill bit selection constitutes a critical challenge within the domain of oil and gas drilling, with substantial implications for operational efficiency and cost-effectiveness. Traditional methodologies, often reliant on em…
  crossref Matin Shahin, Armin Manssori, Behrad Tabrizipour, Amirreza Zeighami 等 2025-11-03T00:20:24Z 置信度 0.70
• Enhancing Reinforcement Learning Agent with Multimodal Large Model Perception
  With the continuous development of artificial intelligence technology and high-performance computing power, various large models have transitioned from the experimental testing phase to production use, offering more efficient solutions for traditional deep lea…
  crossref Lian Liu, Dongpu Sun 2026-02-18T21:14:51Z 置信度 0.70
• Enhancing Chatbot Literacy through Inquiry-Based Learning with an AI Conversational Agent
  In today's digital age, Artificial Intelligence (AI) has become a key technology in education, particularly chatbots, which can create personalized and interactive learning experiences. However, many students still lack understanding of how to use these techno…
  crossref Jatiya Panchu, Wuttiporn Suamuang 2026-02-18T21:14:52Z 置信度 0.70
• AI Agent Based Autonomous Cognitive Architecture for 6G Core Network
  With the growing demand for advanced communication systems and the integration of AI technologies, 6G networks are set to provide enhanced performance and enable new applications such as autonomous driving and mixed reality. This paper presents a novel AI agen…
  crossref Menghan Yu, Yanxia Xing, Xu Xia, Jing Jia 2025-07-02T13:42:13Z 置信度 0.70
• AI Agent Model Simulator for Cold-Start Item Recommendation
  Due to the lack of historical interactive data, it is a challenging task for the recommendation system to recommend cold start items. Recently, the related research is generally related to hot items to enhance the characteristics of cold start items, but there…
  crossref BingJun Qin, Jing Li, ZhiHua Xiang 2026-01-20T20:37:43Z 置信度 0.70
• ChainBuddy: An AI-assisted Agent System for Generating LLM Pipelines
  crossref Jingyue Zhang, Ian Arawjo 2025-04-24T03:30:09Z 置信度 0.70
• Mathematical Foundations of AI-Augmented Leadership: The NOVA Framework for Multi-agent AI Optimization
  crossref Tuhin Chattopadhyay 2026-02-18T04:22:13Z 置信度 0.70
• Cognitive AI for Proactive Cyber Defense: A Rule-Based Multi-Agent Approach
  As cyber threats evolve in complexity and frequency, traditional defense mechanisms struggle to keep pace. This paper introduces a cognitive Artificial Intelligence (AI) driven framework using a rule-based multi-agent system (MAS) for proactive cyber defense. …
  crossref Vijayanand Selvaraj 2026-03-04T20:48:10Z 置信度 0.70
• EDAIR: An Efficient Distributed AI Agent Architecture for Multi-Domain Intent Resolution
  The resolution of network intents to network service definitions is a key operation of intent-based networking. In this paper, we study the resolution of multi-domain network intents and propose EDAIR, an efficient distributed architecture that greatly improve…
  crossref Pedro Martinez-Julia, Ved P. Kafle, Hitoshi Asaeda 2025-07-15T17:40:26Z 置信度 0.70
• Agent-to-Agent (A2A) Protocol Integrated Digital Twin System with AgentIQ for Multimodal AI Fitness Coaching and Personalized Well-Being
  crossref Kamran Gholizadeh HamlAbadi, Monica Vahdati, Fedwa Laamarti, Abdulmotaleb El Saddik 2025-10-25T05:44:48Z 置信度 0.70
• Adaptive Data Reduction and Generalization System Using Persona-Specific AI Agent
  A system and method for adaptive data redaction and generalization using persona-specific AI agents are disclosed. The invention enables the processing of generic data sources containing sensitive information, such as financial data, personally identifiable in…
  crossref Sumana Malkapuram, Kailashnath Reddy Kavalakuntla 2026-02-17T21:04:05Z 置信度 0.70
• Ai-Driven Conversational Agent for Enhancing Government Schemes
  Chatbot is a solution to the problems citizens face in accessing government healthcare services. Combining technology with a user-oriented interface, the project allows even those with technical knowledge to easily access the system. Chatbot’s personalized rec…
  crossref Ramathilagam A, Vignesh Abranantham T, Nova S, Elamparithi Pandian 2025-06-17T17:37:35Z 置信度 0.70
• Algorithm Optimization of AI Agent in Customer Behavior Prediction Based on Large Model
  With the rapid development of AI technology, especially the application of Large Language Model (LLM), AI Agent shows great potential in the field of customer behavior prediction. Firstly, this paper reviews the traditional methods of customer behavior predict…
  crossref Haizhi Wei 2025-07-09T23:04:54Z 置信度 0.70
• Technical Report on KshemaGPT: A Multi-Agent LLM for Agriculture & Enterprise AI
  Rural India is highly diverse in terms of customs, languages, and literacy. With more than 22 officially recognized languages, communication and information exchange remain a key factor. Although, the rise of open-source Large Language Models (LLMs) has signif…
  crossref SVSLN Surya Suhas Vaddhiparthy, Gokulraj R, Rajesh Nani Dasari, Sunil Mandava 2025-07-28T18:44:37Z 置信度 0.70
• AI Agent-Driven Framework for Data Governance and Privacy in Oracle-based Insurance Systems
  Insurance Data and Data Governance With consumption of data at the core, insurance industry requires strong data governance as well as policies for ensuring privacy of such data. A solution has now been found to this problem by including AI agents in Oracle ba…
  crossref Sree Kiran Kanchanapally 2025-12-30T18:35:51Z 置信度 0.70
• A Dual-Agent Multimodel AI Framework for Driver State Monitoring System
  Driver fatigue and emotional instability have been important causes of road accidents; however, existing driver-monitoring systems still mainly rely on visual cues and not on adaptive, human-centered interactions.To address this gap, we propose a dual-agent mu…
  crossref 2025-12-07T14:45:11Z 置信度 0.70
• Imitating Mistakes in a Learning Companion AI Agent for Online Peer Learning
  In recent years, peer learning has gained attention as a method that promotes spontaneous thinking among learners, and its effectiveness has been confirmed by numerous studies. This study aims to develop an AI Agent as a learning companion that enables peer le…
  crossref Sosui Moribe, Taketoshi Ushiama 2025-02-04T18:29:42Z 置信度 0.70
• Ethical Human‐AI Agent Interface Considerations
  Abstract Integrating Artificial Intelligence (AI) in safety critical workflows raises ethical concerns. Human‐Machine or Human‐AI Teaming is a commonly discussed means to alleviate these concerns, as this method places the human in or on the decision loop. The…
  crossref Clayton W. Couch, Michael E. Miller 2025-10-09T14:52:47Z 置信度 0.70
• FROM IDEAS TO INCOME: BUSINESS MODELS FOR THE AGENT ECONOMY
  crossref 2025-05-30T01:45:31Z 置信度 0.70
• Deep Q-Network-Based Agent Learning for Employee Performance Prediction in Industrial Environments
  Employee performance prediction is essential for workforce optimization in industrial environments, enabling organizations to enhance productivity, balance workload distribution, and improve decision-making. Traditional human resource management (HRM) approach…
  crossref Arun Prasad Jaganathan, Prakash Subramani, Nirmal Manmathan 2025-08-12T17:51:53Z 置信度 0.70
• Graph-Enhanced Hierarchical Multi-Agent Reinforcement Learning for Adaptive Healthcare Coordination in Smart Fog Systems
  Fog computing has emerged as a promising solution for resource-constrained, real-time applications, particularly in the healthcare domain. However, efficient task scheduling remains a significant challenge in dynamic environments. This paper introduces the GE-…
  crossref Noman Gul, Bashir Hayat 2025-10-28T21:56:04Z 置信度 0.70
• Analysis of online agent accounting platform under big data AI environment
  This paper aims to provide a comprehensive overview of the current status and future prospects of the agent bookkeeping service industry in China, focusing on the online agent bookkeeping platform developed by Nanjing Cloud Accounting Network Technology Co., L…
  crossref Zhifeng Yuan 2025-03-18T12:31:43Z 置信度 0.70
• Artificial Intelligence Paradigms and Agent-Based Technologies
  crossref Luis Macedo 2025-03-31T01:58:58Z 置信度 0.70
• CareBuddy: A Multi-Agent Conversational AI for Alzheimer’s Care and Assistance
  Abstract Managing Alzheimer’s disease presents daily challenges for both the individuals living with the condition and their informal caregivers. While conversational AI offers potential support, traditional single-agent systems often lack the specialization a…
  crossref Wordh Ul Hasan, Ayanle Aideed, Kimia Tuz Zaman, Juan Li 2026-01-03T12:11:12Z 置信度 0.70
• An AI-based Chat Agent for Measuring Students’ Self-Regulated Learning Skills
  While the recent potential of Large Language Models (lLMs) has been studied across various domains in education, their application in measuring students’ Self-Regulated Learning (SRL) skills remains underexplored. Current SRL measurement initiatives (surveys a…
  crossref Slaviša Radović, Elisabeth Wetchy, Niels Seidel 2026-02-19T20:55:22Z 置信度 0.70
• Account Abstraction for Enforcing Blockchain-Based AI Agent Non-Functional Requirements
  As Artificial Intelligence (AI) agents are brought on-chain in order to manage wallets and transact on behalf of blockchain users, measures are needed to enforce users’ requirements for such systems. In this work, we propose the use of account abstraction (AA)…
  crossref Jan Gorzny, Fatemeh Heidari Soureshjani, Martin Derka 2025-10-13T17:38:30Z 置信度 0.70
• Agentic AI Foundations and Infrastructure for Scalable Multi-Agent System
  crossref Shally Garg, Abhinav Balasubramanian, Meghana Puvvadi 2026-06-16T19:42:01Z 置信度 0.70
• AI Agent based SaaS Platform (AIBSP)
  This work presents a web-based AI-powered platform named AI SAP Tools, designed to deliver intelligent SaaS-based utilities such as research paper summarization, subtitle generation, PDF-based question answering, and data analysis. The system integrates multip…
  crossref MsAnju, Abhimannew Vinuroy Smitha, Arya.J, Madhav K 等 2026-02-13T20:47:49Z 置信度 0.70
• Demo: Conversational AI Agent for ML Infrastructure Monitoring and Analysis
  We present a conversational AI framework for monitoring and analysis of distributed AI/ML infrastructure based on a multi-agent architecture. The system incorporates specialized agents for topology discovery, health assessment, network flow analysis, and root …
  crossref Rami Ghaleb, Mithun Dharmaraj, Srikar Prayaga, Tarun Banka 2025-10-13T17:38:54Z 置信度 0.70
• Human-Clinical AI Agent Collaboration
  Balancing automation and accountability is fundamental in any healthcare field, particularly under mandates from the world's first AI act. Yet, the act relies on self-assessment. Here, we draw from a half century of theoretical cognitive neuroscience theories …
  crossref Mason Kadem, Baraa Al-Khazraji 2025-08-01T07:49:45Z 置信度 0.70
• QiMARL: Quantum-Inspired Multi-Agent Reinforcement Learning Strategy for Efficient Resource Energy Distribution in Nodal Power Stations
  The coupling of quantum computing with multi-agent reinforcement learning (MARL) provides an exciting direction to tackle intricate decision-making tasks in high-dimensional spaces. This work introduces a new quantum-inspired multi-agent reinforcement learning…
  crossref Sapthak Mohajon Turjya, Anjan Bandyopadhyay, M. Shamim Kaiser, Kanad Ray 2025-09-01T13:27:44Z 置信度 0.70
• Interaction with an AI Chatbot in Audiology Education as a Critical Learning Agent
  INTRODUCTION The challenge of providing clinical audiology students with consistent and meaningful patient interaction is well-documented in educational literature.1–3 Opportunities for patient engagement are needed for development of communication and clinica…
  crossref Prasha Sooful, Pingo Zablon, Mich Thornton 2025-09-02T19:00:15Z 置信度 0.70
• Multi-Agent AI Systems for Secure, Transparent, and Compliant Fraud Surveillance in Cross-Border FinTech Operations
  As cross-border financial transactions grow in scale and complexity, so too does the risk of fraud, regulatory noncompliance, and systemic vulnerabilities in global FinTech ecosystems.The heterogeneous regulatory environments, varying KYC/AML standards, and sp…
  crossref Joshua Seyi Ibitoye 2025-06-27T11:07:41Z 置信度 0.70
• How generative AI reshapes principal-agent relationships: mitigating adverse selection and moral hazard
  In the era of digitalization, the rapid proliferation of information and advancements in artificial intelligence have spurred an unprecedented increase in data generation and dissemination. However, these developments have also led to significant challenges in…
  crossref Yukun Zhang, Tianyang Zhang 2025-10-06T15:28:31Z 置信度 0.70
• Agent AI for Personalized Healthcare: A Multi-Agent Framework for Real-Time Disease Detection and Patient Support
  The rapid growth of digital health data from wearable devices, electronic health records, and medical imaging has created unprecedented opportunities for personalized healthcare. However, traditional AI models often face limitations in scalability, adaptabilit…
  crossref Madhukar Nimbalkar, Pankaj Chandre, Bhagyashree Shendkar, Sachin Jagdale 等 2026-01-13T20:55:18Z 置信度 0.70
• Towards fluid human-agent collaboration: From dynamic collaboration patterns to models of theory of mind reasoning
  Collaborating in real-life situations rarely follows predefined roles or plans, but is established on the fly and flexibly coordinated by the interacting agents. We introduce the notion of fluid collaboration (FC), marked by frequent changes of the tasks partn…
  crossref Florian Schröder, Fabian Heinrich, Stefan Kopp 2025-08-01T04:11:11Z 置信度 0.70
• Cobot: An Embodied AI Agent for Immersive Analytics
  Recent Immersive Analytics research envisioned AI collaborators that assist with data exploration and analysis. With the advent of Large Language Models (LLMs), such collaborators are now feasible. Yet, fundamental design questions remain: How can we leverage …
  crossref Nicolas Barbotin, Jack Fraser, Jeremy McDade, Andrew Cunningham 2025-11-18T18:42:51Z 置信度 0.70
• An AI-Powered Metadata-Driven File Management Agent for Academic Computing Platforms
  The rapid growth of digital files in the academic environment has accelerated the challenges of manual file organization, resulting in an unorganized desktop, inefficient storage, and reduced productivity. This study presents the design and implementation of a…
  crossref W. N. Devindi, K. M. Piyumal 2026-02-25T20:55:02Z 置信度 0.70
• Research on the Application of AI Agent in Postgraduate Education
  With the rapid advancement of AI technologies, AI agents have undergone remarkable evolution. Their application in decomposing complex problems and enhancing automated problem-solving capabilities has demonstrated growing potential across multiple domains. As …
  crossref Di Zheng, Lin Chen, Xianfeng Zhang 2025-07-29T18:20:44Z 置信度 0.70
• Forecasting COVID-19 Infection with Model Averaging: A Real-Time Evaluation
  crossref Shotaro Beppu, Somei Miyashita, Taisuke Nakata 2025-09-26T07:18:49Z 置信度 0.70