Agentora White Paper
  • Preface
  • 1. Agentora
  • 2. Key Technologies
    • 2.1 Federated Learning Framework and AI Agents
    • 2.2 ZKML Verification Protocol
    • 2.3 Dynamic Game Engine
    • 2.4 Triple Trust Verification System
    • 2.5 Tokenized Computational Power Market and AI Training Tax Mechanism
  • 3. Web3 AI Economy
    • 3.1 Autonomous Universe of GameFi
    • 3.2 AI Agent Native Driver
    • 3.3 Self-earning Capability
  • 4. Tokenomics
    • 4.1 $ATA (Agentora Token)
    • 4.2 ATA Application and Circulation
  • 5. Roadmap
  • 6. Investment and Project Risk Information
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  1. 3. Web3 AI Economy

3.1 Autonomous Universe of GameFi

  • Decentralized Governance In Agentora, all in-game economic rules and governance mechanisms are collectively established by DAOs. Players are not only participants in the game but also in the evolution of the rules. Through on-chain voting and governance, they ensure that system adjustments are transparent, public, and fair.

  • Dynamic Economic Regulation Utilizing a dynamic game engine driven by reinforcement learning, the ecosystem achieves real-time regulation of asset liquidity, NFT output, and inflation parameters. Through automatic adjustment mechanisms, the system can quickly respond to changes in the market environment, preventing economic collapse or uncontrolled inflation.

  • Symbiotic Ecosystem Model Traditional GameFi often faces conflicts among players, developers, and the market. Agentora, through its decentralized autonomous structure, enables all parties to co-evolve within the ecosystem. Each player is both a consumer and a decision-maker, collectively driving the continuous evolution of the digital universe and forming a self-feedback, self-adjusting autonomous ecosystem.

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Last updated 3 months ago