AI Governance & Defense Engine
π‘ Data Perception Pathway:
Inputs include:
On-chain interaction data
User staking flows
Market transaction frequency
These data streams are fed into AI predictive models.
π§ Dynamic Strategy Configuration:
PoCP threshold dynamically adjusts based on real-time behaviors
Incentive parameters (e.g., APY, proposal threshold) are adaptively tuned
Short-term arbitrage activity triggers:
Enhanced collaboration coefficient
Release of loyalty rewards
Alarm NFT airdrop to warn and incentivize behavior correction
π¨ AI-Triggered Emergency Response Tiers:
Level 1 (β οΈ) β Abnormal Volatility β Parameter buffer mechanisms activated
Level 2 (β οΈ) β Intense Arbitrage β Increase withdrawal threshold / reduce reward bands
Level 3 (β οΈ) β Community Sentiment Imbalance β Activate proposal reset or user recall voting mechanisms
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