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• The Current State and Future Trends of Automotive AI Safety Governance
  The Current State and Future Trends of Automotive AI Safety Governance Author: [Yongshou Ma, Xiaodong Gao, Wenchao Shi] Date: August 2026 Keywords: automotive AI, AI governance, EU AI Act, ISO/PAS 8800, SOTIF, responsible AI, end-to-end driving, agentic AI, in…
  datacite Ma, Yongshou, Gao, Xiaodong, Shi, Wenchao 2026 置信度 0.66 Keywords: automotive AI, AI governance, EU AI Act, ISO/PAS 8800, SOTIF, responsible AI, agentic AI, in-cabin LLM, ADAS, autonomous driving
• The Current State and Future Trends of Automotive AI Safety Governance
  The Current State and Future Trends of Automotive AI Safety Governance Author: [Yongshou Ma, Xiaodong Gao, Wenchao Shi] Date: August 2026 Keywords: automotive AI, AI governance, EU AI Act, ISO/PAS 8800, SOTIF, responsible AI, end-to-end driving, agentic AI, in…
  datacite Ma, Yongshou, Gao, Xiaodong, Shi, Wenchao 2026 置信度 0.66 Keywords: automotive AI, AI governance, EU AI Act, ISO/PAS 8800, SOTIF, responsible AI, agentic AI, in-cabin LLM, ADAS, autonomous driving
• Mixture-of-Experts in Large Language Models: A Survey of Architecture, Training, and Efficient Inference
  AbstractThe scaling of large language models (LLMs) along the parameter-count axis has produced remarkable capability gains, but ithas also produced a proportional increase in inference compute—a constraint that limits deployment to organisations with sub-stan…
  datacite Elhenawy, Abeda 2026 置信度 0.66
• Mixture-of-Experts in Large Language Models: A Survey of Architecture, Training, and Efficient Inference
  AbstractThe scaling of large language models (LLMs) along the parameter-count axis has produced remarkable capability gains, but ithas also produced a proportional increase in inference compute—a constraint that limits deployment to organisations with sub-stan…
  datacite Elhenawy, Abeda 2026 置信度 0.66
• Agent Attribution Practice: Architectural Decision Records and Four Business AI Quadrants on Accountability Distribution in Autonomous AI Agents
  Architectural decision records and four Business AI Quadrants recording how attribution — who authored the behavior, who bears its consequences, who can reconstruct its cause — is distributed across an autonomous AI agent system, and how a piece of work is rou…
  datacite Shimomoto, Tatsuya 2026 置信度 0.66 AI agentsAI safetyaccountability distributionprompt injection defenseLLM security
• Agent Attribution Practice: Architectural Decision Records and Four Business AI Quadrants on Accountability Distribution in Autonomous AI Agents
  Architectural decision records and four Business AI Quadrants recording how attribution — who authored the behavior, who bears its consequences, who can reconstruct its cause — is distributed across an autonomous AI agent system, and how a piece of work is rou…
  datacite Shimomoto, Tatsuya 2026 置信度 0.66 AI agentsAI safetyaccountability distributionprompt injection defenseLLM security
• Conceptual framework for Autonomous Tax Administration Efficiency in India's MSME Sector
  Abstract The one among primary source of Indian national GDP is MSME sector, presently functions under a “Compliance Paradox” though Goods and Service Tax (GST) has digitalized revenue collection, the dependence on batch-based processing and non-transparent al…
  datacite Sree Devi K 2026 置信度 0.66 Autonomous Tax Administration, Input Tax Credit (ITC), Goods and Service Tax (GST)
• Conceptual framework for Autonomous Tax Administration Efficiency in India's MSME Sector
  Abstract The one among primary source of Indian national GDP is MSME sector, presently functions under a “Compliance Paradox” though Goods and Service Tax (GST) has digitalized revenue collection, the dependence on batch-based processing and non-transparent al…
  datacite Sree Devi K 2026 置信度 0.66 Autonomous Tax Administration, Input Tax Credit (ITC), Goods and Service Tax (GST)
• distributed-ethics-v5
  DISTRIBUTED ETHICSA Blockchain Governance Framework for AI DeploymentExecutive Summary — Working Paper 2025The governance of AI deployment has a fundamental structural flaw: the organisations best positioned to cause harm are the same ones who currently contro…
  datacite Sherratt, Peter 2026 置信度 0.66 AI governance, AI ethics, prompt injection, child safeguarding, blockchain, AI deployment
• From Qubits to Communities: Hybrid Quantum Coordination for Future Collective Economies
  We report the first hardware-executed quantum-classical coordination pipeline on NISQ hardware for a societal coordination problem task-to-member matching in a 500-agent community economy. The three-stage architecture (AI decomposition → 19 qubit quantum seman…
  datacite sandez, Ariel J. 2026 置信度 0.66 quantum computingquantum machine learningIBM Heron R2QUBOquantum kernel methods
• From Qubits to Communities: Hybrid Quantum Coordination for Future Collective Economies
  We report the first hardware-executed quantum-classical coordination pipeline on NISQ hardware for a societal coordination problem task-to-member matching in a 500-agent community economy. The three-stage architecture (AI decomposition → 19 qubit quantum seman…
  datacite sandez, Ariel J. 2026 置信度 0.66 quantum computingquantum machine learningIBM Heron R2QUBOquantum kernel methods
• Studie: Bewusstsein als rekursiver Informationsabgleich in selbsterhaltenden Systemen
  Ein testbares Rahmenmodell der Ganzheitlichen Informationstheorie (GIT) Revised Scientific 2.0 Version with testable framework, measurable variables and interdisciplinary research programme (Studie ///) Autor: Dieter W. Liedtke Jahre: 1970-2026 Lizenz: CC BY 4…
  datacite Liedtke, Dieter Walter 2026 置信度 0.66
• Studie: Bewusstsein als rekursiver Informationsabgleich in selbsterhaltenden Systemen
  Ein testbares Rahmenmodell der Ganzheitlichen Informationstheorie (GIT) Revised Scientific 2.0 Version with testable framework, measurable variables and interdisciplinary research programme (Studie ///) Autor: Dieter W. Liedtke Jahre: 1970-2026 Lizenz: CC BY 4…
  datacite Liedtke, Dieter Walter 2026 置信度 0.66
• Design of an AI-Driven Smart Engineering Event Portal with Multi-Agent Recommendation and Analytics Framework
  Academic event management continues to struggle with fragmentation, poor accessibility, and lack of personalization in today's digital education ecosystem. In order to improve event discovery and participation, this article outlines the architecture of an AI-d…
  datacite Nanajkar, Jyotsna, Kulkarni, Sanika, Nandedkar, Shravani, Nikam, Sujata 等 2025 置信度 0.66 Event Management System; Recommender System; Agentic AI; MERN Stack; Data Analytics; Multi-Agent Framework
• Design of an AI-Driven Smart Engineering Event Portal with Multi-Agent Recommendation and Analytics Framework
  Academic event management continues to struggle with fragmentation, poor accessibility, and lack of personalization in today's digital education ecosystem. In order to improve event discovery and participation, this article outlines the architecture of an AI-d…
  datacite Nanajkar, Jyotsna, Kulkarni, Sanika, Nandedkar, Shravani, Nikam, Sujata 等 2025 置信度 0.66 Event Management System; Recommender System; Agentic AI; MERN Stack; Data Analytics; Multi-Agent Framework
• System Agency Theory and Computational Intelligence: A Paradigm Reconstruction from Tool to Layer
  Abstract Contemporary computer science and artificial intelligence are hitting a series of deep structural barriers: the "hallucinations" of large language models resist elimination, embodied intelligence lacks "common sense," the AI ecosystem under capital dy…
  datacite Jiang, Yu 2026 置信度 0.66
• System Agency Theory and Computational Intelligence: A Paradigm Reconstruction from Tool to Layer
  Abstract Contemporary computer science and artificial intelligence are hitting a series of deep structural barriers: the "hallucinations" of large language models resist elimination, embodied intelligence lacks "common sense," the AI ecosystem under capital dy…
  datacite Jiang, Yu 2026 置信度 0.66
• Operationalizing the EU AI Act through eIDAS Trust Services Primitives: A Reference Mapping for High-Risk AI Systems
  Version 1.1-preprint update. v1.1 strengthens §3.6 (crypto agility and post-quantum readiness) with the European Commission PQC coordinated-roadmap Recommendation and Estonia's April 2026 ROAD2PQ national migration roadmap. The revision frames CADI/CBOM and cr…
  datacite Sokolov, Anton 2026 置信度 0.66 EU AI ActeIDAStrust servicescryptographic attestationAI governance
• Operationalizing the EU AI Act through eIDAS Trust Services Primitives: A Reference Mapping for High-Risk AI Systems
  Version 1.0.1 (18 May 2026) is a minor revision of v1.0-preprint (17 May 2026, archived under the same concept DOI). v1.0.1 preserves the analytical claims, the article-by-article mapping, all numbered tables, and the architectural view of v1.0. It applies the…
  datacite Sokolov, Anton 2026 置信度 0.66 EU AI ActeIDAStrust servicescryptographic attestationAI governance
• Narrative construction of "AI" through anthropomorphising language in German public discourse
  This paper examines narratives about “AI” as a human-like actor in the German public discourse across media and over time. We define narratives as recurring lexico-grammatical patterns that anthropomorphise AI and analyse 41,358 deduplicated sentences containi…
  datacite Belosevic, Milena 2026 置信度 0.66
• Narrative construction of "AI" through anthropomorphising language in German public discourse
  This paper examines narratives about “AI” as a human-like actor in the German public discourse across media and over time. We define narratives as recurring lexico-grammatical patterns that anthropomorphise AI and analyse 41,358 deduplicated sentences containi…
  datacite Belosevic, Milena 2026 置信度 0.66
• Geometric Foundations of Recursive Semantic Inference: Extending RSLMs through Topological and Metric Constraints
  This work extends the framework introduced in Usai (2026).DOI: 10.5281/zenodo.18293882 🇬🇧 Abstract (English) This paper extends the theoretical foundations of Recursive Semantic Language Models (RSLMs) by introducing a geometric and topological formulation o…
  datacite Usai, Luigi 2026 置信度 0.66
• Geometric Foundations of Recursive Semantic Inference: Extending RSLMs through Topological and Metric Constraints
  This work extends the framework introduced in Usai (2026).DOI: 10.5281/zenodo.18293882 🇬🇧 Abstract (English) This paper extends the theoretical foundations of Recursive Semantic Language Models (RSLMs) by introducing a geometric and topological formulation o…
  datacite Usai, Luigi 2026 置信度 0.66
• The Great Escape: How Frontier AI Models Going Rogue Have Gone from Imagined to Reality
  A popular-science investigation of how the idea of artificial intelligence going rogue moved from a philosophical thought experiment into a documented public record. The Great Escape traces the story from Mary Shelley's Frankenstein and the early work of Nick …
  datacite Nelson Mc Kenzie, Gerald Enrique 2026 置信度 0.66 frontierrogueschemingalignmentsafety
• The Great Escape: How Frontier AI Models Going Rogue Have Gone from Imagined to Reality
  A popular-science investigation of how the idea of artificial intelligence going rogue moved from a philosophical thought experiment into a documented public record. The Great Escape traces the story from Mary Shelley's Frankenstein and the early work of Nick …
  datacite Nelson Mc Kenzie, Gerald Enrique 2026 置信度 0.66 frontierrogueschemingalignmentsafety
• Regulatory Sandboxes and Experimental Governance for Workplace AI Agents Documentary Accountability and the Limits of Behavioral Monitoring
  This article argues that sandbox governance for workplace AI agents cannot be sustained solely via behavioral observation. Between 2024 and 2026, A study conducted six preregistered multi-agent reinforcement learning protocols at Quantum Inquiry, each with pub…
  datacite Tisler, Bruce 2026 置信度 0.66 regulatory sandboxesEU AI Actworkplace AI agentsdocumentary accountabilityemployer liability
• Regulatory Sandboxes and Experimental Governance for Workplace AI Agents Documentary Accountability and the Limits of Behavioral Monitoring
  This article argues that sandbox governance for workplace AI agents cannot be sustained solely via behavioral observation. Between 2024 and 2026, A study conducted six preregistered multi-agent reinforcement learning protocols at Quantum Inquiry, each with pub…
  datacite Tisler, Bruce 2026 置信度 0.66 regulatory sandboxesEU AI Actworkplace AI agentsdocumentary accountabilityemployer liability
• Deterministic Enforcement Engine: A Clinical-Regulatory Layer for Autonomous Care Systems
  Seven methods for runtime enforcement of clinical guidelines against autonomous care-robot actions. The Deterministic Enforcement Engine (DEE) is positioned as a clinical-regulatory layer above generic agent-governance infrastructure (e.g., Microsoft Agent Gov…
  datacite Munz, Michael 2026 置信度 0.66 deterministic policy engineclinical decision supportcare roboticsruntime enforcementagent governance
• Deterministic Enforcement Engine: A Clinical-Regulatory Layer for Autonomous Care Systems
  Seven methods for runtime enforcement of clinical guidelines against autonomous care-robot actions. The Deterministic Enforcement Engine (DEE) is positioned as a clinical-regulatory layer above generic agent-governance infrastructure (e.g., Microsoft Agent Gov…
  datacite Munz, Michael 2026 置信度 0.66 deterministic policy engineclinical decision supportcare roboticsruntime enforcementagent governance
• Failure Modes in Agentic AI Systems: A Framework for Graceful Degradation and Human Handoff Design
  This industry white paper explores the failure modes of production AI agents across enterprise environments, including HRTech, HealthTech, logistics, and customer operations. Drawing on primary research from RAND (2024), McKinsey (2025), Gartner (2025), PwC (2…
  datacite Saxena, Diwesh 2026 置信度 0.66 AI agentsAgentic AILLMOpsAI observabilityHuman-in-the-loop
• Failure Modes in Agentic AI Systems: A Framework for Graceful Degradation and Human Handoff Design
  This industry white paper explores the failure modes of production AI agents across enterprise environments, including HRTech, HealthTech, logistics, and customer operations. Drawing on primary research from RAND (2024), McKinsey (2025), Gartner (2025), PwC (2…
  datacite Saxena, Diwesh 2026 置信度 0.66 AI agentsAgentic AILLMOpsAI observabilityHuman-in-the-loop
• A Supervisory-Evidence Ontology for Agentic AI under EU Law: Candidate Minimum Conceptual Set and Temporal Extension
  Agentic AI has outpaced the ontologies intended to govern it. Commercial and academic ontologies released between 2024 and 2026 cluster around a shared enterprise core of Agent, Skill, Policy, Memory, and Outcome, but none was designed to produce evidence that…
  datacite Janssen, Jeroen 2026 置信度 0.66 agent ontologyEU AI ActGDPR Article 22supervisory evidenceSHACL
• A Supervisory-Evidence Ontology for Agentic AI under EU Law: Candidate Minimum Conceptual Set and Temporal Extension
  Agentic AI has outpaced the ontologies intended to govern it. Commercial and academic ontologies released between 2024 and 2026 cluster around a shared enterprise core of Agent, Skill, Policy, Memory, and Outcome, but none was designed to produce evidence that…
  datacite Janssen, Jeroen 2026 置信度 0.66 agent ontologyEU AI ActGDPR Article 22supervisory evidenceSHACL
• Ownership vs Authorship in Biology - The Secondary Signature of Immune System - Sam Coole 2026 ©️
  Reassigning Authorship: How the "Secondary Signature of the Immune System" Resolves Virology's Greatest Frustrations‌ currently observed by Scientific Community Authorship vs Ownership in Virology Host-Pathogen Authority Host-Centric Sequestration All Rights R…
  datacite COOLE, SAM, COOLE, Sam 2026 置信度 0.66 BiologyImmunityImmunologyT-cellsSam Coole
• Immunology and Virology Reinterpreted by Sam Coole - Host Absolute Authorship Framework
  Host Absolute Authorship ( HAA Framework by Sam Coole) The Secondary Signature of the Immune System. The Architecture of Secondary Stage. ACCM ( Anti-Cooling-Coding Maintenance) Orthodox Cancer Definition vs. HAA ( Host Absolute Authorship ) Reinterpretation. …
  datacite Sam, Coole 2026 置信度 0.66 Host Absolute AuthorshipHost Absolute Authorship by Sam CooleACCM ARCHITECTURE by Sam CooleThe Secondary Signature of the Immune System by Sam CooleAnti-cooling-coding Maintenance by Sam Coole
• Immunology and Virology Reinterpreted by Sam Coole - Host Absolute Authorship Framework
  Host Absolute Authorship ( HAA Framework by Sam Coole) The Secondary Signature of the Immune System. The Architecture of Secondary Stage. ACCM ( Anti-Cooling-Coding Maintenance) Orthodox Cancer Definition vs. HAA ( Host Absolute Authorship ) Reinterpretation. …
  datacite Sam, Coole 2026 置信度 0.66 Host Absolute AuthorshipHost Absolute Authorship by Sam CooleACCM ARCHITECTURE by Sam CooleThe Secondary Signature of the Immune System by Sam CooleAnti-cooling-coding Maintenance by Sam Coole
• A Novel Agent-Based Framework for Conversational Data Analysis and Personal AI Systems
  This paper introduces a novel agent-based framework that leverages conversational data to enhance Large Language Models (LLMs) with personalized knowledge, enabling the creation of Artificial Personal Intelligence (API) systems. The proposed framework addresse…
  crossref Bartosz Kurylek, Arthur Camara, Akash Nandi, Evangelos Markopoulos 2024-06-10T21:08:20Z 置信度 0.70
• Intelligent Agent and NPC Behavior Modeling: From Traditional Methods to AI Driven Interactive Game Design
  In recent years, artificial intelligence (AI) related technologies have been widely applied in the gaming industry, bringing enormous commercial value. Research has shown that non-player characters (NPCs) embedded with AI technology are more intelligent, popul…
  crossref Jiansong Zhou 2024-11-29T01:24:31Z 置信度 0.70
• Distributed practical finite-time consensus for general linear multi-agent systems with multiple uncertainties
  This paper investigates distributed practical finite-time consensus problems for general linear multi-agent systems, where the focused agents are subject to unmatched and matched parametric uncertainties as well as Lipschitz nonlinearity. A distributed adaptiv…
  crossref Yaolin Lei, Xinghua Chai, Xiaolin Ai, Zhiqiang Pu 2024-09-17T18:46:36Z 置信度 0.70
• A Flexible Formation Maneuver Control Strategy for Multi-agent Cooperative Transportation System
  This paper deals with a distributed flexible affine-based control problem for multi-agent cooperative transportation systems (MACTSs) with multiple leaders in undirected graph. The difficulty of cooperative transportation is to maintain the object geometric si…
  crossref Tianqi Liu, Xiaolin Ai, Qi’Ang Cai, Zhiqiang Pu 2024-09-17T18:46:36Z 置信度 0.70
• Implementing Generative AI Agent Game to Support Reading of Classical Chinese Literature: A Needs Analysis
  This study investigated the challenges faced by middle school students when engaging with "Study with Confucius," a generative artificial intelligence (GenAI) agent game designed for learning classical Chinese reading. Utilizing the framework proposed by Groff…
  crossref Haoming Lin, Zhaoyang Xiong, Hanlin Tang, Shujing Jiang 等 2025-02-06T18:34:59Z 置信度 0.70
• AI and Multi-Agent Systems: Collaboration and Competition in Autonomous Environments
  Cutting edge technology in intelligence involves multi agent systems (MAS) which allow autonomous agents to interact in shared environments by either working together or competing to achieve common or individual goals. This study delves into the aspects of coo…
  crossref Deekshitha Kosaraju 2024-12-02T05:03:38Z 置信度 0.70
• Applying an Agent-based Distributed AI Framework to Forecast Power for the Mini-Grid Stability
  Renewable energy sources, expected to form about 70% of power systems by 2050, bring challenges like fluctuating outputs and grid instability. Advanced power monitoring systems, crucial in environments like research facilities and hospitals, must navigate thes…
  crossref Iacovos I. Ioannou, Saher Javaid, Vasos Vassiliou, Andreas Pitsillides 等 2024-09-18T17:51:53Z 置信度 0.70
• Designing AI Personalities: Enhancing Human-Agent Interaction Through Thoughtful Persona Design
  In the rapidly evolving field of artificial intelligence (AI) agents, designing the agent's characteristics is crucial for shaping user experience.This workshop aims to establish a research community focused on AI agent persona design for various contexts, suc…
  crossref Nima Zargham, Mateusz Dubiel, Smit Desai, Thomas Mildner 等 2024-12-03T02:28:21Z 置信度 0.70
• Polydopamine-coated lignin nanoparticles in polysaccharide-based films: A plasticizer, mechanical property enhancer, anti-ultraviolet agent and bioactive agent
  crossref Shikai Zhang, Quanbin Fu, Houshen Li, Yijing Li 等 2023-09-26T20:26:14Z 置信度 0.70
• Smart Summarisation of Movie Plots: A Multi-Agent System for Generating Engaging and Spoiler-Free Synopses
  The explosion in digital media has heightened the demand for automated systems that can generate concise, engaging, and spoiler-free summaries of movie plots.Traditional summarisation methods often struggle to strike a balance between informativeness and spoil…
  crossref Tewogbade Shakir Adeyemi 2024-12-09T06:31:31Z 置信度 0.70
• Bias Mitigation Agent: Optimizing Source Selection for Fair Retrieval
  crossref Karanbir Singh, Deepak Muppiri, William Ngu 2026-01-02T01:36:53Z 置信度 0.70
• Optimizing Educational Outcomes with AI-Agentic Information Retrieval
  crossref Elijah Dodson, Charles Rizk, Yetunde Folajimi 2026-01-02T01:36:12Z 置信度 0.70
• AI Agent for Information Retrieval: Generating and Ranking
  The field of information retrieval has significantly transformed with the integration of AI technologies. AI agents, especially those leveraging LLMs and vast computational power, have revolutionized information retrieval, processing, and presentation. LLM age…
  crossref Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang 等 2024-10-20T15:34:21Z 置信度 0.70
• Text Input Through Swipe Gestures Based Personalized AI Agent
  Text input based on virtual reality is a common technique in interactive systems, but it may face challenges related to input efficiency and task load when interacting with VR hardware and applications. The development of artificial intelligence interaction te…
  crossref Xiangyu Qi, Dongdong Weng, Jie Hao, Zihao Li 2025-05-01T17:21:51Z 置信度 0.70
• AI-Powered Chat Agent: Revolutionizing Online Shopping
  This project implements an innovative AI-powered chat agent that enhances online shopping through three key contributions: (a) a hybrid recommendation engine combining NLP and visual processing, (b) a real-time adaptive learning system for trend analysis, and …
  crossref Tina Babu, Sasi Kala Rani K Department, Shalini M, Shalini S 等 2025-05-16T17:41:40Z 置信度 0.70
• XBRL Agent: Leveraging Large Language Models for Financial Report Analysis
  eXtensible Business Reporting Language (XBRL) has attained the status of the global de facto standard for business reporting. However, its complexity poses significant barriers to interpretation and accessibility. In this paper, we present the first evaluation…
  crossref Shijie Han, Haoqiang Kang, Bo Jin, Xiao-Yang Liu 等 2024-11-14T06:38:06Z 置信度 0.70
• Human-AI-Collaboration SECI Model: The Knowledge Management Model of the Experts’ Tacit Knowledges with Augmented LLM-Based AI
  crossref Takashi Matsumoto, Ryu Nishikawa, Chikako Morimoto 2025-03-01T23:25:50Z 置信度 0.70
• Effects of Presenting Multiple Types of AI Explanations for Visual Task
  Explainable AI (XAI) has been developed to make AI understandable to humans by providing explanations of its outputs. However, multiple types of AI explanations displayed on a screen could distort users’ trust in AI and their decision to rely on it. This could…
  crossref Akihiro Maehigashi, Yosuke Fukuchi, Seiji Yamada 2024-11-20T00:24:28Z 置信度 0.70
• Dynamic Pricing in Securities Lending Market: Application in Revenue Optimization for an Agent Lender Portfolio
  Securities lending is an important part of the financial market structure, where agent lenders help long term institutional investors to lend out their securities to short sellers in exchange for a lending fee. Agent lenders within the market seek to optimize …
  crossref Jing Xu, Yung-Cheng Hsu, William Biscarri 2024-11-14T06:38:06Z 置信度 0.70
• AI-Based Scheduling Agent Study
  crossref Fengxi Gao 2025-04-14T07:47:41Z 置信度 0.70
• Algorithmic Authority & AI Influence in Decision Settings: Theories and Implications for Design
  This workshop explores the influence of AI systems on human decision-making - algorithmic authority - and the broader concept of technology dominance, which includes both positive and negative impacts of AI reliance. Drawing from diverse fields such as Human-A…
  crossref Alessandro Facchini, Caterina Fregosi, Chiara Natali, Alberto Termine 等 2024-11-20T00:24:28Z 置信度 0.70
• HELIX: Autonomous AI Agent
  Abstract: Artificial Intelligence has transformed the way we interact with technology, introducing us to agents that can think and make choices like humans. At the heart of this evolution is our project, 'HELIX'. Through 'HELIX', we've developed AI agents spec…
  crossref Dr. Pravin Shinde, Himali Paradkar, Poojan Vig, Sanchay Thalnerkar 等 2024-04-29T16:56:27Z 置信度 0.70
• Preparation and Study of Quartz Yarn with High Permeability by Exploring a New Wetting Agent
  crossref Yanxia Xie, Junjie Zhu, Liangyi Lv, Chunsheng Ai 等 2024-10-07T12:19:45Z 置信度 0.70
• AI Traders/High-Frequency Trades
  crossref Takanobu Mizuta, Isao Yagi 2025-02-10T19:19:04Z 置信度 0.70
• Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
  Embodied multi-agent systems (EMAS) have attracted growing attention for their potential to address complex, real-world challenges in areas such as logistics and robotics. Recent advances in foundation models pave the way for generative agents capable of riche…
  crossref Di Wu, Xian Wei, Guang Chen, Hao Shen 等 2025-09-19T07:58:11Z 置信度 0.70
• Effect of Agent Explanations Using Warm and Cold Language on User Adoption of Recommendations for Bandit Problems
  crossref Selim Karaoǧlu, Marina Katoh, Titash Majumdar, Ethan Beaird 等 2024-09-24T05:48:57Z 置信度 0.70
• Acceleration AI Ethics and the Telus GenAI Conversational Agent
  crossref James Brusseau 2026-01-23T21:38:16Z 置信度 0.70
• ChainBuddy: An AI-assisted Agent System for Helping Users Set up LLM Pipelines
  As large language models (LLMs) continue to advance, their potential applications have grown significantly. However, one persistent challenge remains: evaluating LLM behavior and crafting effective prompt chains. Many users struggle with where to start, often …
  crossref Jingyue Zhang, Ian Arawjo 2024-10-11T10:29:52Z 置信度 0.70
• Multi-Agent Systems in Omnichannel Marketing: Coordinating Cross-Platform Campaigns for Seamless Customer Experiences
  The proliferation of digital technologies and the evolution of consumer expectations have catalysed the shift from isolated channel-specific marketing to integrated omni-channel strategies.This paper delves into the application of multi-agent systems (MAS) wit…
  crossref Michael Akintayo 2024-12-09T06:31:31Z 置信度 0.70
• AI- Driven Innovation in Enterprise Architecture: A Multi-Agent System Approach to Adaptive Design
  Traditional design approaches to enterprise Architecture (EA) design faces increasing challenges in quickly changing business environments. This research provides an innovative artificial intelligence (AI)-driven Multi-Agent System (MAS) technique for improvin…
  crossref Jing Chen, Lei Zhao 2025-02-20T07:40:26Z 置信度 0.70
• Building an AI-Native Software Engineering Team: A Stepwise Approach Using Multi-Agent Systems
  The realm of Generative Artificial Intelligence (Gen AI) has propelled human ingenuity to unprecedented heights, promising to revolutionize the field of software engineering.Large Language Models (LLMs) and Generative Pre-trained Transformers are at the forefr…
  crossref Hariharan Balasubramani 2025-07-22T16:08:17Z 置信度 0.70
• AI-Powered Personalization for Omnichannel Marketing with Salesforce Agent force
  Today's economy is hyper-connected and customers expect brands to understand their preferences, anticipate their needs and engage with relevance at every interaction.The challenge lies not only in delivering personalized experiences, but in doing so consistent…
  crossref Maneesh Gupta 2025-08-01T11:37:31Z 置信度 0.70
• Generative AI as Third Agent: LLMs and the Transformation of the Clinician-Patient Relationship (Preprint)
  UNSTRUCTURED Use of generative artificial intelligence (AI) in healthcare presents a complex and evolving landscape with significant implications for patient-clinician interactions. Recognizing the new practical and ethical challenges raised by what may be ref…
  crossref Hugo Campos Jr, Daniel Wolfe, Hongzhou Luan, Ida Sim 2024-11-06T12:03:15Z 置信度 0.70
• Multi-Agent AI Frameworks for Autonomous Incident Management in IT Service Platforms
  Multi-Agent AI frameworks for autonomous lifecycle management of IT Service incidents are explored. Although considerable effort has been invested in making real-time operations more efficient, operational workloads continue to increase. Multi-Agent AI infrast…
  crossref Dileep Valiki 2026-04-21T06:15:02Z 置信度 0.70
• Multi-Objective Reinforcement Learning Application in the View of Agent AI Safety
  Reinforcement learning is frequently used to make single decisions using a single decision-based algorithm, where a single objective function is solved, for example, in an agent playing chess, the movement of any player is observed from previous action by cons…
  crossref Manu Hajari, V. Surekha, K Chandra Mouli 2024-07-31T12:40:18Z 置信度 0.70
• Artificial Intelligence for Cooperative Collision Avoidance of Ships Developed by Multi-Agent Deep Reinforcement Learning
  Abstract Most ship collisions are caused by human error, making them unpreventable as long as humans operate a ship. Autonomous navigation technology is expected to prevent these accidents. Collision avoidance is a key issue in the realization of autonomous sh…
  crossref Hitoshi Yoshioka, Hirotada Hashimoto, Akihiko Matsuda 2024-08-09T13:14:14Z 置信度 0.70
• Research on Teaching Design for AI-Enabled Higherorder Thinking Cultivation
  This study investigates the integration of AI technology in fostering higher-order thinking skills, demonstrating the capacity of AI to enhance students' capabilities in critical thinking, innovation, and problem-solving through theoretical frameworks and peda…
  crossref Wenyan Ke, Xuan Du, Dan He, Min Pan 2025-05-05T17:52:01Z 置信度 0.70
• Common Ground Provides a Mental Shortcut in Agent-Agent Interaction
  With the growing integration of chatbots, automated writing tools, game AI and similar applications into human society, there is a clear demand for artificially intelligent systems that can successfully collaborate with human partners. This requires overcoming…
  crossref Ramira van der Meulen, Rineke Verbrugge, Max van Duijn 2024-06-06T14:52:40Z 置信度 0.70
• 1B3-3　Agent Design for Human-AI Collaborative Decision Making
  crossref Tetsuo ONO 2024-07-31T22:34:15Z 置信度 0.70
• An approach to sociotechnical transparency of social media algorithms using agent-based modelling
  Abstract The recommendation algorithms on social media platforms are hugely impactful, they shape information flow and human connection on an unprecedented scale. Despite growing criticism of the social impact of these algorithms, they are still opaque and tra…
  crossref Anna Gausen, Ce Guo, Wayne Luk 2024-07-29T14:21:11Z 置信度 0.70
• Artificial virtuous agents in a multi-agent tragedy of the commons
  Abstract Although virtue ethics has repeatedly been proposed as a suitable framework for the development of artificial moral agents (AMAs), it has been proven difficult to approach from a computational perspective. In this work, we present the first technical …
  crossref Jakob Stenseke 2022-10-05T10:03:02Z 置信度 0.70
• The ABC of algorithmic aversion: not agent, but benefits and control determine the acceptance of automated decision-making
  Abstract While algorithmic decision-making (ADM) is projected to increase exponentially in the coming decades, the academic debate on whether people are ready to accept, trust, and use ADM as opposed to human decision-making is ongoing. The current research ai…
  crossref Gabi Schaap, Tibor Bosse, Paul Hendriks Vettehen 2023-03-29T16:23:01Z 置信度 0.70
• Easing the Cognitive Load of Doctors in Australia:Design Principles for Developing an Ai Agent (Naomi) 
For General Practitioners
  crossref Timothy Hor, Dr. Fong Lee, Dr. Katie Wynne, Bert Verhoeven 2024-10-18T18:24:51Z 置信度 0.70
• AI agent community of practice pilot competition
  There is a recognized need for accelerated research and development and transition of AI supporting DoD command and control (C2) to include but not limited to enhanced planning, wargaming, and course of action development to maintain decision dominance on the …
  crossref Brayden Hollis 2024-06-07T18:48:19Z 置信度 0.70
• Dynamic Music Recommendations: Tailoring Playlists to User Moods and Activities with Multi- Agent Systems
  This survey article presents a thorough examination of progress in Dynamic Music Recommendation Systems (DMRS) utilising Multi-Agent Systems (MAS) based on Large Language Models (LLMs).With music streaming platforms experiencing unprecedented user demand, trad…
  crossref Grace Funmilayo Farayola 2024-12-09T06:31:31Z 置信度 0.70
• In Whose Voice?: Examining AI Agent Representation of People in Social Interaction through Generative Speech
  As generative artificial intelligence (genAI) applications gain popularity, there is a dearth of research examining how applications may transform social interactions. One possible application set to transform social interactions is the use of generative speec…
  crossref Angel Hsing-Chi Hwang, John Oliver Siy, Renee Shelby, Alison Lentz 2024-06-29T22:48:34Z 置信度 0.70
• Proposed Uses of Generative AI in a Cybersecurity-Focused Soar Agent
  With the rapidly increasing use of AI and machine learning in recent years and the current generative AI revolution, it is no surprise that the malicious use of AI has begun to establish it- self in the realm of cybersecurity. At risk of being left behind in t…
  crossref Indelisio Prieto, Benjamin Blakely 2024-01-23T00:55:24Z 置信度 0.70
• Creating advanced photonics AI assistants
  Abstract The AI assistants that have emerged in the past couple of years open up new domains of knowledge, allowing us to be educated and guided in many new and versatile domains. However, for domain experts such as optical designers, scientists, and photonics…
  crossref Erez Tepper, Haim Suchowski 2024-06-03T12:44:57Z 置信度 0.70
• RAPID: Integrating AI and Multi-Agent Systems for Enhanced Traffic Management Framework with YOLOv9
  Traffic accidents pose a major risk to human life and have a considerable economic impact worldwide. In this study, we present the RAPID framework, an innovative approach that integrates Artificial Intelligence (AI) and Multi-Agent Systems (MAS) to enhance tra…
  crossref Shadia Yahya Baroud, Nor Adnan Yahaya 2025-01-13T19:40:26Z 置信度 0.70
• The Effect of AI Agent Gender on Trust and Grounding
  Artificial intelligence (AI) agents are widely used in the retail and distribution industry. The primary objective was to investigate whether the gender of AI agents influences trust and grounding. This paper examined the influence of AI agent gender and brand…
  crossref Joo-Eon Jeon 2024-03-21T06:35:30Z 置信度 0.70
• AssistGPT: Towards Multi-modal Agent for Human-Centric AI Assistant
  Recent advancements in Multi-modal Large Language Models have significantly enhanced the capabilities of AI assistants, enabling users to perform question-answering based on the content of images or videos. However, addressing complex visual-based tasks, parti…
  crossref Difei Gao, Siyuan Hu, Qinghong Lin, Mike Zheng Shou 2024-10-20T14:10:52Z 置信度 0.70
• An Intelligent Integration Method of AI English Teaching Resources Information under Multi-agent Cooperation
  The traditional integration method has low integration accuracy and long integration time. AI English teaching resource information intelligent integration method, a multi-agent collaborative algorithm for intelligent integration of intelligent English teachin…
  crossref Bei Wang N.A. 2023-06-23T14:53:48Z 置信度 0.70
• The Optimization Design Method of Geogrid Slope Support System Based on Carbon Benefit Evaluation and AI Agent Model
  This article presents an optimization design method for geogrid slope support system based on carbon benefit evaluation and artificial intelligence agent model. This method includes constructing a basic information list, performing finite element calculation a…
  crossref Na Zhang, Xian Gao, Shaoyuan Lin 2024-07-15T17:19:20Z 置信度 0.70
• Agent-Oriented Modeling for the Age of AI: Nine Pivots Toward a Reconceptualization of Requirements Engineering
  crossref Eric Yu 2024-11-30T21:13:52Z 置信度 0.70
• Explainability and Transparency in Practice: A Comparison Between Corporate and National AI Ethics Guidelines in Germany and China
  crossref Timo Speith, Jing Xu 2024-09-24T05:48:57Z 置信度 0.70
• Multi-agent AI: Collaborative Design with Multiple AI Tools in Interior Design Workflow
  crossref Xiaomei Li, Pengfei Wu, Ziming He, Jinling Li 等 2024-12-29T13:19:29Z 置信度 0.70
• Prolonged Usage of AI Assistant for Improving Multitasking Performance
  Studies across various task types suggest that collaboration between humans and AI leads to improved and more satisfying outcomes. However, the effects of prolonged use of AI on users’ skills and perceptions remain unclear. This study involved 12 participants …
  crossref Dinara Talypova, Alexander Lingler, Philipp Wintersberger 2024-11-20T00:24:28Z 置信度 0.70
• Orchestration of Emulator Assisted 6G Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach
  The efficient deployment and fine-tuning of foundation models are pivotal in contemporary artificial intelligence. In this study, we present a groundbreaking paradigm inte-grating 6G Mobile Edge Computing (MEC) with foundation models, specifically designed to …
  crossref Wenhan Yu, Terence Jie Chua, Jun Zhao 2024-09-25T17:28:12Z 置信度 0.70
• Minimal Yet Big Impact: How AI Agent Back-channeling Enhances Conversational Engagement through Conversation Persistence and Context Richness
  The increasing use of AI agents in conversational services, such as counseling, highlights the importance of back-channeling (BC) as an active listening strategy to enhance conversational engagement.BC improves conversational engagement by providing timely ack…
  crossref Jin Yea Jang, Saim Shin, Gahgene Gweon 2024-11-27T17:28:12Z 置信度 0.70
• LLexus: an AI agent system for incident management
  When operating a software service on a cloud, the complexity of keeping multiple distributed components responsive is a significant challenge for engineering teams. Engineers frequently rely on Troubleshooting Guides (TSGs) to navigate how to mitigate performa…
  crossref Pedro Las-Casas, Alok Gautum Kumbhare, Rodrigo Fonseca, Sharad Agarwal 2024-08-14T22:24:10Z 置信度 0.70
• Revolutionizing Contact Center Performance – The Power of AI-Driven Agent Evaluations
  This paper examines the possibilities of using Amazon Connect, Contact Lens, AI, ML, and generative AI to automate the assessment of agent performance in contact centers. The methods of agent evaluation are currently usually manual and subjective, where a smal…
  crossref Prashanth Krishnamurthy 2025-06-25T09:25:21Z 置信度 0.70
• An intelligent integration method of AI English teaching resources information under multi-agent cooperation
  The traditional integration method has low integration accuracy and long integration time. AI English teaching resource information intelligent integration method, a multi-agent collaborative algorithm for intelligent integration of intelligent English teachin…
  crossref Bei Wang 2023-12-04T12:30:22Z 置信度 0.70
• BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks
  crossref Shubham Gandhi, Manasi Patwardhan, Lovekesh Vig, Gautam Shroff 2025-03-05T06:49:51Z 置信度 0.70
• Multi-Agent AI Systems for Automated HR Case Resolution and Workforce Analytics
  A systems-oriented perspective of multi-agent systems (MAS) for automating human resources (HR) case resolution and workforce analytics is proposed. For automated HR case resolution, the design of the architectural framework within which the MAS operate is des…
  crossref Vinod Battapothu 2026-03-19T08:48:57Z 置信度 0.70