Cover Image

Data-driven and distributed governance of building facilities management using decentralized autonomous organization, digital twin, and large language models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ly, Reachsak, Shojaei, Alireza, Gao, Xinghua, Agee, Philip, Akanmu, Abiola
Format:	Preprint
Published:	2026
Subjects:	Computers and Society Artificial Intelligence Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decentralized autonomous organization and blockchain-based incentivization framework for community-based facilities management
by: Ly, Reachsak, et al.
Published: (2026)

Public and private blockchain for decentralized digital building twins and building automation system
by: Ly, Reachsak, et al.
Published: (2026)

Zero-shot adaptable task planning for autonomous construction robots: a comparative study of lightweight single and multi-AI agent systems
by: Naderi, Hossein, et al.
Published: (2026)

Autonomous Construction-Site Safety Inspection Using Mobile Robots: A Multilayer VLM-LLM Pipeline
by: Naderi, Hossein, et al.
Published: (2025)

Impact of Robot Facial-Audio Expressions on Human Robot Trust Dynamics and Trust Repair
by: Naderi, Hossein, et al.
Published: (2025)

Autonomous Building Cyber-Physical Systems Using Decentralized Autonomous Organizations, Digital Twins, and Large Language Model
by: Ly, Reachsak, et al.
Published: (2024)

The price of decentralization in managing engineering systems through multi-agent reinforcement learning
by: Bhustali, Prateek, et al.
Published: (2026)

Towards Intelligent Geospatial Data Discovery: a knowledge graph-driven multi-agent framework powered by large language models
by: Liu, Ruixiang, et al.
Published: (2026)

Middleware-based multi-agent development environment for building and testing distributed intelligent systems
by: Aguayo-Canela, Francisco José, et al.
Published: (2024)

Enriched multi-agent middleware for building rule-based distributed security solutions for IoT environments
by: Aguayo-Canela, Francisco José, et al.
Published: (2024)

Emergent decentralized regulation in a purely synthetic society
by: Manik, Md Motaleb Hossen, et al.
Published: (2026)

A Semi-decentralized and Variational-Equilibrium-Based Trajectory Planner for Connected and Autonomous Vehicles
by: Liu, Zhengqin, et al.
Published: (2024)

A behavior driven approach for sampling rare event situations for autonomous vehicles
by: Sarkar, Atrisha, et al.
Published: (2019)

Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management
by: Saifullah, M., et al.
Published: (2024)

LLMDR: Large language model driven framework for missing data recovery in mixed data under low resource regime
by: Keshav, Durga, et al.
Published: (2026)

Differential error feedback for communication-efficient decentralized learning
by: Nassif, Roula, et al.
Published: (2024)

Distributed fixed-point algorithms for dynamic convex optimization over decentralized and unbalanced wireless networks
by: Agrawal, Navneet, et al.
Published: (2024)

ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks
by: Zhou, Heng, et al.
Published: (2025)

HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution
by: Tang, Jinzhou, et al.
Published: (2025)

EndoGov: A knowledge-governed multi-agent expert system for endometrial cancer risk stratification
by: Dai, Weiye, et al.
Published: (2026)

SciDataCopilot: An Agentic Data Preparation Framework for AGI-driven Scientific Discovery
by: Rao, Jiyong, et al.
Published: (2026)

Tracking and managing deemed abilities
by: Troquard, Nicolas
Published: (2021)

Data-driven Construction of Finite Abstractions for Interconnected Systems: A Compositional Approach
by: Ajeleye, Daniel, et al.
Published: (2024)

AgentSimulator: An Agent-based Approach for Data-driven Business Process Simulation
by: Kirchdorfer, Lukas, et al.
Published: (2024)

Beyond the model: Key differentiators in large language models and multi-agent services
by: Goyal, Muskaan, et al.
Published: (2025)

RoboSolver: A Multi-Agent Large Language Model Framework for Solving Robotic Arm Problems
by: Khabazi, Hamid, et al.
Published: (2026)

Multi-Agent Cooperative Learning for Robust Vision-Language Alignment under OOD Concepts
by: Xu, Philip
Published: (2026)

RouteRL: Multi-agent reinforcement learning framework for urban route choice with autonomous vehicles
by: Akman, Ahmet Onur, et al.
Published: (2025)

Tracking the perspectives of interacting language models
by: Helm, Hayden, et al.
Published: (2024)

Decentralised multi-agent coordination for real-time railway traffic management
by: D'Amato, Leo, et al.
Published: (2025)

Conformal Data-driven Control of Stochastic Multi-Agent Systems under Collaborative Signal Temporal Logic Specifications
by: Vlahakis, Eleftherios E., et al.
Published: (2025)

DAO-enabled decentralized physical AI: A new paradigm for human-machine collaboration
by: Ballandies, Mark C., et al.
Published: (2026)

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building
by: Fetsch, Alexandra, et al.
Published: (2025)

Assessing behaviour coverage in a multi-agent system simulation for autonomous vehicle testing
by: Franco-Vivo, Manuel
Published: (2025)

Select to Perfect: Imitating desired behavior from large multi-agent data
by: Franzmeyer, Tim, et al.
Published: (2024)

CartoAgent: a multimodal large language model-powered multi-agent cartographic framework for map style transfer and evaluation
by: Wang, Chenglong, et al.
Published: (2025)

Data/moment-driven approaches for fast predictive control of collective dynamics
by: Albi, Giacomo, et al.
Published: (2024)

MAS-KCL: Knowledge component graph structure learning with large language model-based agentic workflow
by: Jiang, Yuan-Hao, et al.
Published: (2025)

Equilibria in routing games with connected autonomous vehicles will not be strong, as exclusive clubs may form
by: Kucharski, Rafał, et al.
Published: (2025)

Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents
by: Tan, Weiting, et al.
Published: (2025)