5.3 Model Structure | Computational Module Cluster

ARK's consensus layer is not just a single model, but an AI collective system combining multiple neural architectures and learning paths, mainly including:

• LSTM Time Series Predictor — Long Short-Term Memory model, specialized in predicting market price trends, premium fluctuations, and price trajectory directions under policy changes.

• Transformer Decoder — Deep semantic model, used to understand governance proposal content, distinguish semantic structures, and generate execution recommendations and anomaly alert messages.

• Reinforcement Learning Decision-maker (RL Agent) — Simulates all possible parameter combinations in the policy space, and through reward functions, self-learns the optimal module configurations and adjustment strategies.

• Anomaly Detection and Sentiment Network — Used to capture community changes, voting fluctuations, investor sentiment, and early signals of FOMO, panic, trust collapse, etc., for defensive deployment.