Image de couverture de livre

An Onto-Relational-Sophic Framework for Governing Synthetic Minds

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ning, Huansheng, Ding, Jianguo
Format:	Preprint
Publié:	2026
Sujets:	Artificial Intelligence Emerging Technologies
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Beyond Tools and Persons: Who Are They? Classifying Robots and AI Agents for Proportional Governance
par: Ning, Huansheng, et autres
Publié: (2026)

Cyberlanguage: Native Communication for the Cyber-Physical-Social-Thinking Fusion Space
par: Ning, Huansheng, et autres
Publié: (2026)

Decentralized Governance of Autonomous AI Agents
par: Chaffer, Tomer Jordi, et autres
Publié: (2024)

Mind the Gap: How Elicitation Protocols Shape the Stated-Revealed Preference Gap in Language Models
par: Mahajan, Pranav, et autres
Publié: (2026)

Trustworthy Orchestration Artificial Intelligence by the Ten Criteria with Control-Plane Governance
par: Kang, Byeong Ho, et autres
Publié: (2025)

Governed By Agents: A Survey On The Role Of Agentic AI In Future Computing Environments
par: Murad, Nauman Ali, et autres
Publié: (2025)

Relational Norms for Human-AI Cooperation
par: Earp, Brian D., et autres
Publié: (2025)

MI9: An Integrated Runtime Governance Framework for Agentic AI
par: Wang, Charles L., et autres
Publié: (2025)

A Practical Multilevel Governance Framework for Autonomous and Intelligent Systems
par: Pöhler, Lukas D., et autres
Publié: (2024)

DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
par: Atta, Hammad, et autres
Publié: (2025)

GPU-RANC: A CUDA Accelerated Simulation Framework for Neuromorphic Architectures
par: Hassan, Sahil, et autres
Publié: (2024)

A Collaborative PIM Computing Optimization Framework for Multi-Tenant DNN
par: Li, Bojing, et autres
Publié: (2024)

Towards Personalized Explanations for Health Simulations: A Mixed-Methods Framework for Stakeholder-Centric Summarization
par: Giabbanelli, Philippe J., et autres
Publié: (2025)

A Large Language Model-based Multi-Agent Framework for Analog Circuits' Sizing Relationships Extraction
par: Liu, Chengjie, et autres
Publié: (2025)

Towards Intelligent Transportation with Pedestrians and Vehicles In-the-Loop: A Surveillance Video-Assisted Federated Digital Twin Framework
par: Li, Xiaolong, et autres
Publié: (2025)

UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling
par: Liu, Pingping, et autres
Publié: (2026)

Late Breaking Results: Fast System Technology Co-Optimization Framework for Emerging Technology Based on Graph Neural Networks
par: Ma, Tianliang, et autres
Publié: (2024)

MindCraft: Revolutionizing Education through AI-Powered Personalized Learning and Mentorship for Rural India
par: Bardia, Arihant, et autres
Publié: (2025)

Governance at the Edge of Architecture: Regulating NeuroAI and Neuromorphic Systems
par: Kashif, Afifah, et autres
Publié: (2026)

AI Regulation and Capitalist Growth: Balancing Innovation, Ethics, and Global Governance
par: Kulothungan, Vikram, et autres
Publié: (2025)

Towards Adaptive AI Governance: Comparative Insights from the U.S., EU, and Asia
par: Kulothungan, Vikram, et autres
Publié: (2025)

Reconfiguring Digital Accountability: AI-Powered Innovations and Transnational Governance in a Postnational Accounting Context
par: Li, Claire, et autres
Publié: (2025)

SafeEmbodAI: a Safety Framework for Mobile Robots in Embodied AI Systems
par: Zhang, Wenxiao, et autres
Publié: (2024)

Regulating Artificial Intimacy: From Locks and Blocks to Relational Accountability
par: Fraser, Henry, et autres
Publié: (2026)

Bounded Minds, Generative Machines: Envisioning Conversational AI that Works with Human Heuristics and Reduces Bias Risk
par: Liu, Jiqun
Publié: (2026)

MM-tau-p$^2$: Persona-Adaptive Prompting for Robust Multi-Modal Agent Evaluation in Dual-Control Settings
par: Purwar, Anupam, et autres
Publié: (2026)

Rethinking Agentic Reinforcement Learning In Large Language Models
par: Cui, Fangming, et autres
Publié: (2026)

Traffic and weather driven hybrid digital twin for bridge monitoring
par: Balijepalli, Phani Raja Bharath, et autres
Publié: (2026)

Graph-Enhanced Deep Reinforcement Learning for Multi-Objective Unrelated Parallel Machine Scheduling
par: Soykan, Bulent, et autres
Publié: (2026)

Objective Decoupling in Social Reinforcement Learning: Recovering Ground Truth from Sycophantic Majorities
par: Ghasemi, Majid, et autres
Publié: (2026)

mcp-proto-okn: Natural-language access to open scientific knowledge graphs through the Model Context Protocol
par: Rose, Peter W., et autres
Publié: (2026)

VERA-MH: Validation of Ethical and Responsible AI in Mental Health
par: Belli, Luca, et autres
Publié: (2026)

Quantum Reinforcement Learning with Transformers for the Capacitated Vehicle Routing Problem
par: Andrés, Eva
Publié: (2026)

Developing AI Agents with Simulated Data: Why, what, and how?
par: Liu, Xiaoran, et autres
Publié: (2026)

Enhancing Software Quality Assurance with an Adaptive Differential Evolution based Quantum Variational Autoencoder-Transformer Model
par: Barma, Seshu Babu, et autres
Publié: (2025)

Cognitive maps are generative programs
par: Kryven, Marta, et autres
Publié: (2025)

Optimizing Package Delivery with Quantum Annealers: Addressing Time-Windows and Simultaneous Pickup and Delivery
par: Osaba, Eneko, et autres
Publié: (2025)

An Approach to Checking Correctness for Agentic Systems
par: Sheffler, Thomas J
Publié: (2025)

OpenMENA: An Open-Source Memristor Interfacing and Compute Board for Neuromorphic Edge-AI Applications
par: Safa, Ali, et autres
Publié: (2025)

LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning
par: Li, Naiyi, et autres
Publié: (2025)