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• Signal Versus Noise: Evaluating iNaturalist Photos as a Source of Quantitative Phenotypic Data in <i>Plethodon</i> Salamanders using Autoresearch and Agentic AI
  Community-science platforms such as iNaturalist now contain tens of millions of georeferenced, photographically vouchered biodiversity records, yet extracting reliable quantitative measurements from opportunistic photographs remains methodologically challengin…
  preprints 2026 置信度 0.74
• Design and Evaluation of an AI-Based Conversational Agent for Travel Agencies: Enhancing Training, Assistance, and Operational Efficiency
  The tourism industry faces increasing pressure for agile, personalized services, yet travel agencies struggle with fragmented knowledge scattered across isolated systems and legacy formats. While Large Language Models (LLMs) are widely applied in customer-faci…
  preprints 2025 置信度 0.74
• Construction and Practical Validation of an Evaluation Framework for General-Purpose Agents
  Abstract Intelligent agent technology represents a pivotal breakthrough in the evolution of artificial intelligence, marking the shift from systems that merely "understand" to those capable of autonomous action. As this technology becomes increasingly central …
  preprints 2025 置信度 0.74
• Hyaluronidase Access in 2025: When Regulatory Reality Undermines Clinical Safety in Aesthetic Medicine
  Background: Hyaluronic acid (HA) fillers are among the most commonly performed aesthetic procedures worldwide. Hyaluronidase is the sole enzymatic antidote capable of reversing HA filler-related vascular occlusion, a rare but potentially vision- and tissue-thr…
  preprints 2026 置信度 0.74
• Multi-agent architecture for patient engagement across conversational channels
  Health systems and populations have expanded rapidly, but the number of human caregivers including doctors, nurses and allied staff has not scaled proportionally. As a result many clinicians are overwhelmed by paperwork, administrative duties, continuous form-…
  europepmc 2025 置信度 0.80
• Climate Change--Driven Evolution of Insecticide Resistance in Malaria Vectors
  Introduction: Climate change is increasingly altering the ecological and evolutionary dynamics of malaria vectors. Rising temperatures, humidity fluctuations, and erratic precipitation patterns intensify physiological stress and accelerate the development of i…
  preprints 2025 置信度 0.74
• Agentic AI for Emergency Response and Comparative Analysis of SmolAgents, LangGraph, AutoGen, Agno AGI and CrewAI for Crisis Solution
  Agentic AI systems are autonomous AI systems that make decisions and take actions without constant human oversight. They enable autonomous agents that can cooperate, reason, and perform complex tasks (with little human involvement). Agentic AI systems have pro…
  preprints 2025 置信度 0.74
• A DEMATEL-Guided Agent-Based Simulation Framework for Trait-Driven Neuroadaptive Interfaces in Smart Hospitality
  Abstract This study introduces a trait-driven neuroadaptive interface model for smart hospitality platforms and develops a mythological framework, grounded in the premise that effective personalization must align with user traits rather than only inferred pref…
  preprints 2025 置信度 0.74
• Semantic-Augmented Reality: A Hybrid Robotic Framework Combining Edge AI and Vision Language Models for Dynamic Industrial Inspection
  With the rise of Industry 4.0, Augmented Reality (AR) has become pivotal for human-robot collaboration. However, most industrial AR systems still rely on pre-defined tracked images or markers, limiting adaptability in unmodeled or dynamic environments. This pa…
  preprints 2025 置信度 0.74
• AI That Thinks in Its Mind
  If we aim to create AGI, our first job is to enable it understand the world. The key to understanding has a name and that name is world model. This is what AGI must look for. In fact, rather than looking for a model, we will aim to find a description of the wo…
  preprints 2025 置信度 0.74
• Solace, a Therapeutic Conversational Agent for Management of Chronic Pain: Acceptability and Usability Study
  Background: Chronic pain is a critical cause of personal suffering and societal concern. However, treatment options remain inadequate and access to efficacious treatment is limited by geography, economics, and scale. Digital health interventions for chronic pa…
  preprints 2025 置信度 0.74
• Hybrid Multi-Agent Systems for Auditable AI Surveying
  Abstract Systematically acquiring expert knowledge remains a bottleneck. Large Language Models (LLMs) scale interaction but introduce a governance challenge: inconsistent coverage, topic drift, and user steering. We present MHAESTRO, a hybrid two-phase approac…
  preprints Alan Naky, Sara Saravi, Firat Batmaz, Yanning Yang 等 2025 置信度 0.74
• A Multi-Agent Coding Assistant for Cloud-Native Development: From Requirements to Deployable Microservices
  The rapid adoption of cloud-native architectures has created an urgent demand for automated development tools that can translate natural language requirements into deployable cloud-native microservices. While recent advances in large language models (LLMs) hav…
  europepmc 2025 置信度 0.80
• AI storytelling &amp; narrative evolution in creative industries: a Systematic Review.
  Abstract Artificial Intelligence is reshaping narrative forms and content across the creative industries, transforming how stories are conceived, produced, distributed, and experienced. This study examines the evolution of storytelling under the influence of A…
  preprints 2025 置信度 0.74
• Collective Intelligence: On the Promise and Reality of Multi-Agent Systems for AI-Driven Scientific Discovery
  Modern scientific progress is increasingly driven by collaborative endeavors that leverage specialized expertise and constructive peer critique. Multi-agent systems (MAS) offer a robust framework to emulate these collaborative dynamics inherent to human resear…
  preprints 2025 置信度 0.74
• Multidisciplinary large language model agent teams for precision oncology enhance complex gynecologic oncology decision support
  Large language models can help with clinical decision-making tasks. Complex oncology cases are best managed through multidisciplinary tumor boards but are difficult to do so due to their expense. The MDAT framework is proposed to mimic tumor board-style collab…
  preprints 2025 置信度 0.74
• Agentic Lab: An Agentic-physical AI system for cell and organoid experimentation and manufacturing
  Reproducibility in biological research and manufacturing remains constrained by the complexity of multi-step protocols, fragmented data-analysis pipelines, and the intrinsic variability of experimental execution. Here, we present Agentic Lab, an agentic-physic…
  europepmc 2025 置信度 0.80
• Foundations of Intelligence: A Review of Data Preprocessing Pipelines in Machine Learning from Classical ML to LLMs, Agentic AI, and Multimodal Systems
  Modern AI systems often draw attention for their model architectures or massive parameter scales, yet a consistent pattern emerges across decades of progress: the quality of data preprocessing remains one of the strongest determinants of performance, robustnes…
  preprints 2025 置信度 0.74
• Can Artificial Intelligence Support Healthcare Workers Managing Low-Literacy Patients in Resource-Limited Settings?
  Artificial intelligence (AI) is rapidly transforming healthcare around the world with its greatest potential in low- and middle-income countries (LMICs), which face workforce shortages, long travel distances, and limited diagnostic capability. AI is an equaliz…
  preprints 2025 置信度 0.74
• AI-Simulated Clinical Consultations: Assessing the Potential of ChatGPT to Support Medical Training
  ABSTRACT Background Simulated medical scenarios are useful for evaluating and developing clinical competencies but scheduling them is expensive and time-consuming. Large language models (LLMs) show promise in role-playing tasks. We investigated the fidelity wi…
  preprints 2025 置信度 0.74
• Multi-agent AI enables evidence-based cell annotation in single-cell transcriptomics
  Cell type annotation remains a critical bottleneck, with current methods often inaccurate and requiring extensive manual validation, particularly in disease contexts. While large language models (LLMs) show promise, they can be unreliable due to hallucinations…
  preprints 2025 置信度 0.74
• A Process-Centric Survey of AI for Scientific Discovery Through the EXHYTE Framework
  Abstract Large language models (LLMs) and agent systems are increasingly transforming scientific discovery, driving progress across chemistry, biology, materials science, and physics. Yet most existing work and surveys remain fragmented, focusing on isolated t…
  preprints 2025 置信度 0.74
• WSInsight: a cloud-native, agent-callable platform for single-cell whole-slide pathology
  WSInsight is an open-source platform for cohort-scale H&E whole-slide image analysis. It performs patch-level inference together with single-cell segmentation and phenotype classification, with morphology- and transcriptome-supervised cell-type heads retrainab…
  preprints 2025 置信度 0.74
• Enabling Humans and AI-Systems to Retrieve Information from System Architectures in Model-Based Systems Engineering
  The complexity of modern cyber-physical systems is steadily increasing as their functional scope expands and as regulations become more demanding. To cope with this complexity, organizations are adopting methodologies such as Model-based Systems Engineering (M…
  preprints 2025 置信度 0.74
• Moremi Bio Agent: Using <i>Neisseria meningitidis</i> Reference Data For The Double Blinded Validation of A General Purpose Biology-Trained Reasoning Model for Pathogen and Antigen Discovery
  Antibodies serve as vital diagnostic and therapeutic agents due to their exceptional specificity toward antigenic targets. Mapping antibody–antigen interactions is essential for understanding immune responses and developing vaccines or biologics. Traditional a…
  preprints 2025 置信度 0.74
• AI-Driven Threat Detection and Response: Toward Autonomous Cyber Defense Systems
  Abstract The increasing sophistication of cyber threats in modern digital infrastructures necessitates intelligent, autonomous defense mechanisms capable of responding faster and more accurately than humans. This study introduces an AI-Driven Threat Detection …
  preprints 2025 置信度 0.74
• Trait-Driven Neuroadaptive Interfaces in Smart Hospitality: A DEMATEL-Guided Agent-Based Simulation Approach
  Abstract This study introduces a trait-driven neuroadaptive interface model for smart hospitality platforms, grounded in the premise that effective personalization must align with user traits rather than only inferred preferences. This paper integrates the Dec…
  preprints 2025 置信度 0.74
• AI agents accelerate catalyst discovery for ultrafast water purification
  crossref Li Minglang, Fu Yang, Patial Shubham Kumar, Ma Tianyi 2026-08-28T11:01:38Z 置信度 0.70
• AI Agent
  crossref 2026-08-28T11:01:38Z 置信度 0.70
• Fraudulent AI as an Agent PE
  This article discusses the tax treaty implications of the use of AI as a fraudulent agent on social media ("impersonating" a real influencer that lives in a real jurisdiction). Via the theory of apparent agency, it may be the case that the real influencer depi…
  crossref Lucas de Lima Carvalho 2025-03-25T06:09:11Z 置信度 0.70
• Device-to-Device Economics and AI Agent Transactions
  Artificial intelligence agents can now buy and sell things without human help, creating new market patterns that old economic theories cannot explain. Major technology companies have built new systems for automated payments, with Ethereum, Coinbase, and Cloudf…
  crossref Vedang Ratan Vatsa 2025-10-29T18:24:34Z 置信度 0.70
• Agent Operating Systems (Agent-OS): A Blueprint Architecture for Real-Time, Secure, and Scalable AI Agents
  Large-model (LM) agents are proliferating across domains, yet current systems remain ad-hoc pipelines without operating system (OS)-level guarantees for scheduling, memory, real-time responsiveness, and end-to-end security. Today's agent architectures resemble…
  europepmc Anis Koubaa 2025 置信度 0.80
• AI agents for MOFs and COFs discovery
  Metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) are highly tunable in pore structure and chemical environment, yet their discovery remains slow and fragmented. Synthesis reports are often difficult to compare, characterization data are l…
  crossref Jiayu Yu, Zihao Jiang, Donglin He 2026-08-17T11:49:26Z 置信度 0.70
• Multi-Agent Geophysical AI Workflow for Automated Reservoir Characterization
  Abstract 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 managers or executives. However, these standard workflo…
  crossref M Quamer Nasim, Paresh Nath Singha Roy 2025-11-03T00:29:50Z 置信度 0.70
• Is AI a Ghost Economic Agent?
  The invasion of artificial intelligence (AI) into economic and social life is leading to significant transformations. They raise the question of the role of AI in economic models and, in particular, whether it should be treated as an economic agent that makes …
  crossref Ivanina Mancheva 2025-09-12T20:37:59Z 置信度 0.70
• Control Overlays for Securing AI Systems: Using Agentic AI—Single Agent and Multi-Agent
  crossref Vicky Pillitteri 2026-01-06T14:56:07Z 置信度 0.70
• Multi-agent Interaction
  Abstract Teamwork, or working collaboratively, has the potential to increase productivity, foster innovation, enhance problem-solving abilities, and improve skills among members. It is commonly practiced in professional settings. With the development of AI age…
  crossref Chung-Chi Chen, Hiroya Takamura 2025-07-16T11:57:01Z 置信度 0.70
• Computational Nutrition 2.0: an algorithmic frontier for AI agents
  crossref Miao Xie, Cheng Shen, Ruixin Zhu, Chunli Lv 2026-08-21T10:35:25Z 置信度 0.70
• Gutenberg Test Part 2: Testing a Creative AI Agent
  This paper is the second part of the &amp;quot;Gutenberg Test&amp;quot;, which examines the ability of an artist-created AI agent to reproduce creative processes. In the first part of the experiment, the author-artist created a &amp;quot;creative AI agent&amp;…
  crossref Todor Pozharev 2025-04-01T06:53:54Z 置信度 0.70
• AI Agent Security: Vulnerability Analysis, Protective Measures and Challenges
  Currently, as a key indicator of artificial intelligence implementation, technological innovation and application promotion of AI agents mutually reinforce each other and advance rapidly. Simultaneously, security risks associated with AI agents are gradually e…
  crossref Huixun Li, Shaodong Feng, Song Han 2026-02-18T21:14:51Z 置信度 0.70
• AI Meets Astronomy: EfficientB0- Powered Classification of AI-Synthesized Celestial Objects Using SpaceNet
  The problem with astronomical images classification generated by artificial intelligence is that the data comes from synthetic sources. The paper developed the first large dataset named SpaceNet with 4,099 AI-generated images of five different classes of astro…
  crossref Jashanpreet Kaur, Gurpreet Singh 2025-02-27T18:43:07Z 置信度 0.70
• Cognitive Bias in AI Recommendations: Understanding and Mitigating Human-AI Decision-Making Errors
  Artificial Intelligence (AI) systems increasingly influence human decision-making, from search engine suggestions to hiring recommendations. However, these systems often reinforce cognitive biases, leading to skewed perceptions and decision errors. This worksh…
  crossref Prasasti Aich 2026-01-02T14:07:31Z 置信度 0.70
• Democracy as a Scaled Collective Intelligence Process: Points of Vulnerability and Augmentation
  crossref Marc-Antoine Parent 2026-07-12T22:38:35Z 置信度 0.70
• Can AI Match Professional Analysts? Evidence from a Multi-Agent System
  We evaluate whether multi-agent systems can generate equity research reports that evaluators perceive as comparable to those produced by professional analysts. Using 50 matched pairs from 2024Q3, we compare system-generated reports to Value Line using AI langu…
  crossref Austin Francis, Cinder Xinde Zhang 2025-11-07T09:51:06Z 置信度 0.70
• Single-Agent/Model Design
  Abstract In this chapter, we focus on single-agent/model design. Section 3.1 begins with a discussion comparing end-to-end learning and feature engineering in the modern era. This section primarily explores the value of manual annotation and how to incorporate…
  crossref Chung-Chi Chen, Hiroya Takamura 2025-07-16T11:56:37Z 置信度 0.70
• Democracy and AI &amp; Game AI Algorithms and Multi-Agent Learning
  crossref 2026-07-12T22:10:29Z 置信度 0.70
• Controlling Large Language Model Hallucination Based on Agent AI with LangGraph
  As Large Language Models (LLMs) become integral to Natural Language Processing (NLP) applications, their tendency to generate hallucinations — outputs misaligned with input data or real-world facts — presents a significant challenge. This paper introduces a no…
  crossref Jialin Wang, Zhihua Duan 2025-01-13T14:14:36Z 置信度 0.70
• The Three-agent Framework: A Case Study to Improve AI Compliance for Hedge Funds
  crossref David Bychkov 2025-08-12T09:53:33Z 置信度 0.70
• Prescriptive Agent Scaffolding: A Practice-Grounded Framework for Building Reliable AI Negotiation Agents
  crossref Yadvinder S. Rana 2025-12-10T07:16:17Z 置信度 0.70
• The Agent Architecture: How <scp>AI</scp> Thinks and Acts
  This chapter delves into the symbiotic relationship between memory and learning as the cornerstone of AI agent architectures, enabling adaptability, problem-solving, and intelligent behavior. The exploration commences by examining various learning paradigms, i…
  crossref 2025-10-06T07:37:41Z 置信度 0.70
• How to Build an Automated Email System using AI Agent in n8n
  Welcome back, readers! In my previous post, I guided you through setting up an LLM pipeline using n8n and Ollama, all hosted locally (catch up here: How to install n8n and create an LLM pipeline using Ollama &amp;amp; Docker! (For Windows)). Today, we're eleva…
  crossref Immanuel Alvaro Bhirawa 2025-07-07T17:14:42Z 置信度 0.70
• How to Build an Automated Email System using AI Agent in n8n
  Welcome back, readers! In my previous post, I guided you through setting up an LLM pipeline using n8n and Ollama, all hosted locally (catch up here: How to install n8n and create an LLM pipeline using Ollama &amp;amp; Docker! (For Windows)). Today, we're eleva…
  crossref Immanuel Alvaro Bhirawa 2025-12-09T08:52:43Z 置信度 0.70
• Circuit-AI: A Self-Hosted AI-Agent Language Model Framework for Control Loop Implementation and Simulation
  This paper presents an AI-Agent designed to assist with power electronics analysis, simulation, and interface with the hardware to optimize its operation employing LLaMA 3 language model, deployed locally on the NVIDIA Jetson Orin Nano Super. The system employ…
  crossref Vishwam Raval, Mohamed Zeid, Prasad Enjeti 2025-10-29T17:31:18Z 置信度 0.70
• Specialized Multi-Agent Neural Architecture for Enhanced Reasoning and Minimal Intervention in AI Systems
  crossref Armando Madero 2025-10-22T13:31:46Z 置信度 0.70
• Evaluating Human-Curated and AI-Generated Affective Images in the Valence-Arousal Space Using a Multimodal AI Agent
  This research introduces a framework for comparative evaluation of human-curated versus AI-generated affective images using a multimodal AI agent. The dataset (N=80 pictures) includes a selection of 40 human-curated images from the Open Affective Standardized …
  crossref Leandros Stefanopoulos 2026-02-17T21:05:43Z 置信度 0.70
• The Frontier Founder: Defining AI-First Entrepreneurship in the Era of Human-Agent Collaboration
  crossref Dorian Cougias 2025-07-22T17:26:31Z 置信度 0.70
• Generative AI and Multi-Agent Systems in Management
  crossref Andrzej Wodecki 2026-01-05T06:10:26Z 置信度 0.70
• Federated Multi-Agent AI for Privacy-Preserving, Energy-Aware Optimisation of Public Transport Systems
  crossref Dimitrios Sargiotis 2025-10-10T07:49:28Z 置信度 0.70
• Governing AI Systems as Recursive Structures Applying Giddens' Structuration Theory to Multi-Agent Governance
  &lt;p&gt;This paper introduces Anthony Giddens’ structuration theory as a foundational framework for understanding and governing multi-agent AI systems. As artificial intelligence increasingly operates within complex, adaptive, and recursive environments, exis…
  crossref Gregory Rice 2025-06-04T14:52:32Z 置信度 0.70
• AI-BASED INTELLIGENT AGENT
  AI-based intelligent agents are computational systems designed to autonomously perceive their environment, make decisions, and take actions to achieve predefined goals. These agents are integral to a wide array of applications, from self-driving cars and robot…
  crossref Om Singh Parihar, Kamaljeet Singh Kalsi 2025-09-18T05:51:25Z 置信度 0.70
• Agentic Multi-Agent AI for Cancer Pathology Imaging: Autonomous Triage, ROI Navigation, and Adaptive Learning    
  Digital pathology has unlocked gigapixel whole-slide images (WSIs) for computational analysis in cancer diagnosis.However, conventional deep learning models struggle with the scale and complexity of WSIs, requiring exhaustive patch analysis and extensive annot…
  crossref Vikas Ramachandra 2025-11-24T22:52:33Z 置信度 0.70
• AI Agent Safety and Security Considerations
  crossref Jerry Huang, Ken Huang, Krystal Jackson, Chris Hughes 2025-06-09T13:12:40Z 置信度 0.70
• The Effects of an AI Participant on Online Group Deliberation: Evidence from a Controlled Study with Afghan Youth
  crossref Takayuki Ito, Jawad Haqbeen 2026-07-12T22:26:52Z 置信度 0.70
• Assessing and Enhancing the Robustness of LLM-Based Multi-Agent Systems Through Chaos Engineering
  This study explores the application of chaos engineering to enhance the robustness of Large Language Model-Based Multi-Agent Systems (LLM-MAS) in production-like environments under real-world conditions. LLM-MAS can potentially improve a wide range of tasks, f…
  crossref Joshua Owotogbe 2025-06-16T14:47:19Z 置信度 0.70
• Contextualizing AI Agent Evaluation: Proposed Framework for Japanese Businesses
  Evaluation is a crucial step in ensuring the quality, safety, and security of Artificial Intelligence agents. However, evaluation frameworks are often generic and fails to consider cultural contexts and nuances such as in Japan. This research addresses this li…
  crossref Ryo Toyoda, Hidenori Kiyomoto, Seiichi Komayama, Hisashi Shigetani 等 2026-01-23T20:55:29Z 置信度 0.70
• HealthX(AI): A Privacy-Preserving On-Device Voice Agent for Early Psychiatric Screening and Report Generation
  This study introduces a software-based and voice-activated artificial intelligence system that is aimed at facilitating preliminary psychiatric evaluations to enhance doctor-patient interactions, particularly in environments with limited resources. The solutio…
  crossref Samarth Shukla 2025-07-23T18:36:11Z 置信度 0.70
• Designing an AI Agent for SME Loan Origination and Risk Management -Soft Information Processing Advantages
  crossref Tatja Karkkainen 2025-05-19T18:19:38Z 置信度 0.70
• Aṇubuddhi: A Multi-Agent AI System for Designing and Simulating Quantum Optics Experiments
  We present Aṇubuddhi, a multi-agent AI system that designs and simulates quantum optics experiments from natural language prompts without requiring specialized programming knowledge. The system composes optical layouts by arranging components from a three-tier…
  europepmc S. K. Rithvik 2025 置信度 0.80
• Making Mahjong Agents Interpretable: A Parameterized Search Approach
  crossref Lingfeng Li, Yunlong Lu, Yongyi Wang, Qifan Zheng 等 2026-07-12T22:53:10Z 置信度 0.70
• Framing Responsibility Human and AI Agent Effects on Apology Effectiveness in Service Failures
  crossref Jihyun Soh, Eunice Kim 2025-09-16T02:37:42Z 置信度 0.70
• Multi-Agent System for AI-Assisted Extraction of Narrative Arcs in TV Series
  crossref Roberto Balestri, Guglielmo Pescatore 2025-05-05T18:43:17Z 置信度 0.70
• Cross-Border Data Flows and Ai-Technology Adoption: Agent-Based Model Simulations
  crossref Hildegunn Kyvik Nordås, Franziska Klügl 2025-02-13T14:39:14Z 置信度 0.70
• VVF-AI: A Vulnerability Verification Framework Based on AI-Agent
  With the continuous deepening of research on big language models in LLM4Cybersecurity, LLM has shown great potential in applications such as vulnerability detection, code repair, and threat intelligence. This study innovatively proposes an AI agent based PoC v…
  crossref Chunling Liu, Tiemimg Liu, Yonghe Tang, Jian Lin 2025-06-23T17:24:40Z 置信度 0.70
• Finding Our Moral Values: Guidelines for Value System Aggregation
  crossref Víctor Abia Alonso, Marc Serramia, Eduardo Alonso 2026-07-12T22:34:41Z 置信度 0.70
• Agent AI for Finance
  crossref Chung-Chi Chen, Hiroya Takamura 2025-07-16T11:56:37Z 置信度 0.70
• LLMs in Court: Risks and Governance of LLMs in Judicial Decision-Making
  crossref Djallel Bouneffouf, Sara Migliorini 2026-07-12T22:11:23Z 置信度 0.70
• Artificial intelligence agent in clinical trial operations: a fictional (for now) case study
  crossref Timothé Ménard, Katrina A Bramstedt 2025-07-29T10:24:19Z 置信度 0.70
• AI-vPON: A Trustworthy Sim-to-Real AI Agent for Reliable End-to-End PON Operations
  We present AI-vPON, an LLM-based framework that enables natural language-driven automation of Passive Optical Network (PON) operations. The system comprises three core components—AI Agent, modelled PON (mPON), and Actual PON—interconnected through a Sim-to-Rea…
  crossref Chansung Park, Yongwook Ra, Hwan Seok Chung 2025-12-15T18:36:43Z 置信度 0.70
• A Multilayered AI Simulation for Assessing the Impact of Infection Control Measures
  crossref Setsuya Kurahashi 2025-09-26T06:40:37Z 置信度 0.70
• AI Agent-Based Framework for Personalized Music Recommendation
  Personalized music recommendation plays a critical role in modern digital media platforms, yet existing systems often lack adaptability, contextual sensitivity, and user transparency. This paper presents an AI agent-based framework designed to deliver real-tim…
  crossref Tanush Sharanarthi 2025-10-17T17:38:38Z 置信度 0.70
• A Multi-Agent Generative AI Framework for Automated Data Engineering, Governance, and Analytical Optimization
  The data explosion in industries has introduced unprecedented issues in the management, governance and insights derived about huge volumes of data. Conventional data engineering culture is usually unstructured laborious processes that are subject to errors and…
  crossref 2025-12-13T13:23:27Z 置信度 0.70
• Ai as a Dual Agent in a Trio Dance: Unpacking the Dynamic Interplay of Designers, Users, and Ai Systems
  crossref Yasser Rahrovani, Mohammad Jarrahi, Vern Glaser, Amir Karami 2025-05-02T19:37:48Z 置信度 0.70
• ElecTwit: A Framework for Studying Persuasion in Multi-Agent Social Systems
  This paper introduces ElecTwit, a simulation framework designed to study persuasion within multi-agent systems, specifically emulating the interactions on social media platforms during a political election. By grounding our experiments in a realistic environme…
  crossref Michael Bao 2026-01-28T20:56:51Z 置信度 0.70
• The Road to AI Companionship: Designing a Sentient AI Agent for Enhanced Driving Experience ^*
  Artificial intelligence (AI) integration in the automotive field primarily focuses on automation and driver assistance. However, the emergence of sentient AI agents offers new possibilities for enhancing user experience through interactive companionship. Recen…
  crossref Mihai Duguleană, Răzvan Gabriel Boboc 2026-01-14T20:36:48Z 置信度 0.70
• PDD-AGENT: Multimodal Large Language Model-Driven AI Agent for Enhanced Plant Disease Diagnosis
  Multimodal large language models (MLLMs) have made remarkable progress across various domains, excelling in tasks such as question answering, segmentation, and detection. However, their performance in multitask operations—particularly in specialized applicatio…
  crossref Lufu Qin, Xingcai Wu, Xinyu Dong, Huan Wang 等 2025-08-18T19:41:38Z 置信度 0.70
• AI as a Legal Agent
  This chapter is the second chapter in Part II where the focus is on addressing how modern AI should be legally characterised. The chapter considers whether we should view AI as the legal agents of natural or legal persons. It explores whether agency as a theor…
  crossref Estelle Wallingford 2025-08-05T12:51:43Z 置信度 0.70
• Embodied AI Agent for Co-creation Ecosystem: Elevating Human-AI Co-creation through Emotion Recognition and Dynamic Personality Adaptation
  Embodied AI agents have the potential to revolutionize human-computer interactions by enabling experiences that are both highly creative and deeply empathetic. While platforms like Gennie2, World Labs, and MineDojo primarily focus on real-world simulations and…
  crossref Jade Zheng, Fernando Jia, Florence Li, Yuteng Fu 2025-01-21T10:46:27Z 置信度 0.70
• Explainability of Multi-Agent AI Systems in Decentralized Educational Environments
  Artificial intelligence (AI) is increasingly being implemented in education systems, such as intelligent systems to assist teachers and adaptive learning platforms, including for students with diverse profiles. There is a scientific gap in understanding how to…
  crossref Radka Nacheva, Otmane Azeroual 2026-01-14T20:37:42Z 置信度 0.70
• Agent Flows
  The pace of innovation coming out of Microsoft is hard to keep up with.As we were putting the final touches on this book, a new feature called agent flows was released.Agent flows blend the power of Power Automate with the Copilot Studio interface, offering a …
  crossref 2025-08-15T21:17:45Z 置信度 0.70
• MedRAG-Agent: Medical Query Resolution By Employing A Multi-Agent, Knowledge Graph-Enhanced RAG-Based AI Framework
  The usage of LLMs (Large Language Models) in healthcare is limited by their dependence on static, outdated knowledge, and their tendency for incorrect information (also known as "hallucinations"). Although "retrieval-augmented generation" (RAG) has been recogn…
  crossref Vikas Yadav, Gaurav, Ashmit Rana, Shivam Sharma 2026-02-04T20:45:18Z 置信度 0.70
• Multi-Agent Smart Water Distribution with Computer Vision-Based Container Detection and AI-Driven Behavior Forecasting for Disaster Relief in Smart Cities
  This paper presents a self-developed multi-agent IoT water distribution system for disaster relief in smart cities, in which each smart dispenser operates as a fully agentic autonomous unit. The proposed design integrates an in-housetrained lightweight compute…
  crossref Wuttachai Chumyen 2026-01-28T20:56:51Z 置信度 0.70
• Warmth and Competence in Human-AI Agent Interactions
  As artificial intelligence (AI) technologies increasingly integrate into daily life, understanding how people perceive AI agents in trust-related interactions is critical for fostering effective human-AI collaboration. Drawing on social cognition theory, this …
  crossref Katarzyna Samson, Tomasz Zaleskiewicz 2026-02-17T11:05:29Z 置信度 0.70
• AI Agents in Recruitment: A Multi-Agent System for Interview, Evaluation, and Candidate Scoring
  crossref Gangesh Pathak, Divya Pandey 2025-05-07T19:06:19Z 置信度 0.70
• Information Asymmetry and Moral Hazard in AI-Mediated Commerce: A Principal-Agent Analysis (Working Paper)
  In agentic commerce, a profound schism emerges between human intention and algorithmic execution. Consumers may express preferences, but the final purchasing decision is often executed by an AI agent. This paper analyzes this dynamic through the established le…
  crossref Paul F. Accornero 2025-10-15T11:07:56Z 置信度 0.70
• Adaptive Multi-Agent Tutoring AI for Multimodal Mathematics Conversational Learning
  crossref Quy Minh Le, Hoang D. Nguyen 2025-10-21T15:17:36Z 置信度 0.70
• Nursing Students’ Perceptions of Virtual Reality (VR) Device Cyber Security : In the Context of AI Agent–Based Healthcare Communication Services
  의료 현장에서 AI Agent와 VR/XR 기술의 확산은 환자 중심 치료 효율성을 높이는 동시에, 음성·생체·행동 정보의 대규모 수집으로 새로운 보안·프라이버시 위험을 야기한다. 국제 표준기관(NIST, ISO/IEC)은 XR 기기를 고위험 의료기기로 분류하 고 있으며, 특히 간호사는 이러한 위험을 이해해야 한다. 그러나 간호대학생 대상 보안 인식 연구는 매우 부족하다. 본 연구에 서 간호대학생 110명을 조사한 결과, 단순 VR 경험은 보안 인식과 유의한 관련…
  crossref Young Shin Lee 2026-01-21T08:58:37Z 置信度 0.70
• Intent-Driven Multi-Agent Coordination for Edge Computing under Resource and Communication Constraints
  Keeping edge nodes coordinated efficiently with limited communication and computation resources is becoming increasingly challenging as edge computing becomes central to time-critical and distributed systems. Communication overhead and vulnerability to single …
  crossref Shilpi Mittal, Kavita Gupta 2026-03-04T20:47:34Z 置信度 0.70
• Multi-Agent Cognitive Routing with Deep Policy Distillation for Next-Generation Networks
  Next-generation networks are characterized by ultra-dense deployments, highly dynamic traffic patterns, and stringent quality-of-service requirements, making conventional static and single-agent routing strategies increasingly inadequate. To address these chal…
  crossref P. Ramya, H. C. 2026-08-26T15:35:00Z 置信度 0.70
• Multi-Agent Coordination
  crossref Ken Huang, Jerry Huang 2025-06-09T13:13:09Z 置信度 0.70
• Deep Learning Based Multimodal Human Activity Recognition in Smart Homes Using SDHAR-HOME
  crossref Nowayer Alrashidi, Shichao Liu, Takayuki Ito, Jawad Haqbeen 等 2026-07-12T22:22:48Z 置信度 0.70