Signal Flow & Adaptive Feedback

Arc402 continuously processes streams of data from multiple sources. This includes on-chain events, user activity, and policy metrics. All of these signals flow into the adaptive feedback system, which helps the AI refine its behavior over time.

For example, if a node observes certain market activity or user behavior, that information is incorporated into the system. The AI then updates its decision-making models dynamically, allowing Arc402 to respond in real-time to changing conditions. Over time, this continuous feedback loop enables the system to improve accuracy, optimize strategies, and adapt to new patterns automatically.

const signals = [
  Blockchain.getRecentTransactions(),
  User.getActivityLogs(),
  Policy.getMetrics()
];

const updatedModel = AI.updateBehavior(signals);
const decision = AI.decide(updatedModel, currentContext);

console.log("Adaptive decision:", decision);

This approach ensures Arc402 is always learning and evolving, making it more intelligent and responsive as more data flows through the network.