KLK Sync Nexus
English
English
  • Whitepaper
    • Introduction
    • About KLK Sync Nexus
    • Technical Framework
      • Dynamic Collaboration Pool (DCP)
      • AI Game-Theoretic Oracle
      • Proof of Time Power (PoTP)
      • Liquidity Sharding Protocol
      • Asset Permission Declaration
    • Operational Mechanism
      • Model Overview: KSN Six-Dimensional Collaborative Economic Flywheel
      • AI Treasury Contract
      • Bond Issuance Contract
      • Time Power Proof Contract
    • AI Incentive Model
    • Tokenomics
    • KSN Ecosystem
      • Core DeFi Ecosystem
      • Collaborative Power Mapping
      • Compliance Financial System
    • DAO Governance
    • Risk Control
    • Roadmap
    • Core Developers
    • Legal Disclaimer
  • Support
    • Q&A
    • Contract Audits
    • Official Links
    • Brand Toolkit
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  1. Whitepaper
  2. Technical Framework

AI Game-Theoretic Oracle

PreviousDynamic Collaboration Pool (DCP)NextProof of Time Power (PoTP)

Last updated 8 days ago

The AI Game-Theoretic Oracle is the core intelligent decision-making engine within the KSN protocol. It integrates multi-agent game modeling, on-chain data monitoring, and AI prediction algorithms to establish an autonomous system for dynamic game behavior recognition, incentive response, and risk buffering. This endows the protocol with self-regulation capabilities and adaptability to strategic interactions.

AI Trading Behavior Analysis Model

  • Utilizes LSTM (Long Short-Term Memory Networks) and Transformer models to detect abnormal trading patterns and compute arbitrage activities.

  • Adjusts collaborative coefficients dynamically when arbitrage activity exceeds 5%, triggering a three-tier defense mechanism.

  • Incorporates Reinforcement Learning (RL) to adjust reward curves and prevent short-term arbitrage behavior from disrupting the market.

AI-Driven Interest Rate Optimization

  • Employs Q-learning to calculate the optimal liquidity allocation strategy, with dynamic hourly adjustments.

  • Enhances the prediction capabilities of the AI oracle by leveraging Multi-Agent Reinforcement Learning, allowing it to adapt to complex market environments.

  • Secures the AI computation process using zk-SNARKs (Zero-Knowledge Succinct Non-Interactive Arguments of Knowledge) to ensure data privacy and security.