3.3.1 Neural Smart Contracts (NSC)

Traditional smart contracts follow the principle of "code is law", but cannot adjust strategies according to market changes; while Neural Smart Contracts (Neuro-Smart Contracts) have machine learning capabilities and can independently learn and dynamically optimize like "brain neurons":

• Dynamic inflation adjustment: Real-time monitoring of network transaction volume, AIS staking rate, ecological application activity and other data, and automatically fine-tuning the Staking reward ratio - when the staking rate is too low (below 50%), appropriately increase the reward to attract users to stake; when the staking rate is too high (above 80%), reduce the reward to avoid inflation and ensure the stability of the economic system.

• Anonymous credit evaluation: Without exposing user data, through federated learning technology, integrate user transaction records, node operation status, AI agent behavior and other data in the ecosystem to generate an "anonymous credit score". DeFi applications can provide users with loan limits based on this score, solving the pain point of "difficulty in credit evaluation in anonymous scenarios".