Questflow
  • Questflow Network
    • 👋Welcome to Questflow - Decentralized AI Agentic Workflow Network
    • ❔Why AI Agentic Workflows?
    • 🤗What specific problem is Questflow Labs aiming to solve?
    • 😀How does multi-agent orchestration (MAO) work
    • 💡What is multi-agent orchestration (MAO)
      • Core Features of Multi-agent Orchestration (MAO)
    • 🍎What use cases does Questflow focus on?
    • 🧠Why blockchain is a necessity for multi-agent networks?
  • Questflow Protocol
    • What is QF Coin?
    • QF Tokenomics
    • QF Token Allocation
    • QF Earning Rewards
    • 🕸️Questflow Decentralized Agent Protocol
      • Protocol Structure
      • The Functionality of Guardian Nodes
      • Node Competiton- Activity Priority Mode
      • Node Competition-Task Acquisition
      • References
    • ⚡Commission Settlement Statement
    • 😁Referral Program
    • 🛣️Vision and Roadmap
    • 🧑‍💻Important Terminology
    • 🧐What are the existing alternatives?
    • Contact Us
    • Privacy Policy
    • Terms of Service
    • Refund Policy
Powered by GitBook
On this page
  1. Questflow Protocol
  2. Questflow Decentralized Agent Protocol

References

PreviousNode Competition-Task AcquisitionNextCommission Settlement Statement

Last updated 10 months ago

This protocol is impressive and complex, involving multiple roles and components to create a comprehensive AI agent network. During the design process, we received inspiration from many research institutions and experts. We are grateful for their wisdom and hard work. Due to space limitations, a partial research index is attached here for community reference.

🕸️
Bridging Generative Networks with the Common Model of Cognition
Sparks of Artificial General Intelligence: Early...
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape
AI Alignment: A Comprehensive Survey
Towards a Science of Human-AI Decision Making: A Survey of...
The role of Artificial Intelligence in future technology
AI technologies for education: Recent research & future directions
Scientific discovery in the age of artificial intelligence
The present and future of AI
Video generation models as world simulators
Practices for Governing Agentic AI Systems
Confidence-Building Measures for Artificial Intelligence: Workshop proceedings
Deep Learning: A Review
A Survey on Transfer Learning
Convolutional Neural Networks for Visual Recognition
6G Vision: An AI-Driven Decentralized Network and Service
Decentralized AI: Edge Intelligence and Smart Blockchain, Metaverse
Web3: A comprehensive review on background
Systematic Review on Decentralised Artificial Intelligence and Its
Decentralized AI for Edge Devices with Federated Learning in the
Decentralized AI-enabled Systems for Edge Computing: A Review
Decentralized AI for IoT: A Survey
Decentralized AI: A New Frontier for Privacy
Decentralized AI: Challenges and Opportunities
Decentralized AI Through Federated Learning
A Framework for Decentralized AI
Decentralized AI in Healthcare: Opportunities and Challenges
Decentralized AI for Smart Cities
Decentralized AI for Autonomous Vehicles
Decentralized AI in Cybersecurity: A Review
MorpheusAIs WhitePaper
Bittensor Structure
Polkadot WhitePaer
Ethereum Whitepaper