AIX white paper
  • 📌Preface
  • 🌎Market background
    • Limitations and challenges of traditional finance
    • The rise of Web3 ecology and intelligent transformation
    • AI + Blockchain + Crypto Asset Integration Opportunities
  • đŸ”ĨOverview
    • About AIX
    • AIX's original intention
    • AIX Mission and Vision
    • AIX Core Values
    • Roles and Functions of AI Agents
    • AIX Main Functions and Services
  • 🔰Technical Architecture
    • AI Agents Intelligent Collaboration Network
      • Core Features of AI Agents
      • AI Agents Workflow
    • AI Computing and Decentralized Storage
      • AI Computing Network
      • Decentralized Storage
      • Collaboration between AI computing and storage architecture
    • AI-enabled cross-chain interoperability and data interaction
    • AI Risk Control and Security System
  • đŸĒŠApplication Ecosystem
    • AI-enabled intelligent asset management
    • AI empowers DePIN (decentralized physical infrastructure network)
    • AI Empowers the GameFi Ecosystem
    • AI Empowers the NFT Ecosystem
    • AI Empowers Web3 Social Networks
    • AI empowers DAO governance
  • đŸĒ™Token Economy
    • Total Supply and Distribution
    • Token Allocation
    • AIXT Application Scenarios
    • Objectives of the Economic Model
  • 👨‍đŸ’ŧTeam Introduction
  • đŸŽĸDevelopment Roadmap
    • 2022-2024
    • 2025
    • 2026
    • 2027
  • đŸ”ļDisclaimer
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  1. Technical Architecture

AI Agents Intelligent Collaboration Network

AIX relies on a decentralized computing architecture to build a distributed AI Agents network , which consists of a large number of self-learning, automatic execution, and intelligent collaboration AI Agents. Each AI Agent has the ability to run independently and adaptively optimize, and can perceive the environment in real time, make intelligent decisions, and automatically execute tasks in the Web3 ecosystem . AI Agents build an intelligent, efficient, and secure Web3 collaboration system through core technologies such as decentralized computing, on-chain data analysis, cross-chain interoperability, intelligent risk control, and privacy computing .

These AI Agents are not passive execution tools in the traditional sense, but intelligent entities with advanced autonomous learning capabilities. They can self-optimize strategies based on on-chain data, market trends, and user needs , and form a multi-agent collaborative network with other AI Agents to jointly promote the efficient operation of the Web3 ecosystem.

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Last updated 3 months ago

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