Data Signal Processing & Feedback Loop

Argos Eyes processes data from various decentralized sources and uses AI algorithms to convert this raw data into actionable signals that can influence the swarm’s decision-making processes. This is achieved through:

• Data Aggregation: Raw data from the blockchain ecosystem is aggregated and pre-processed by agents to extract meaningful insights.

• Signal Processing: Advanced signal processing algorithms, including Fourier transforms and Kalman filters, are used to smooth noisy data and convert it into actionable signals that can drive decisions or trigger actions in the system.

• Feedback Loop: The feedback loop mechanism ensures that the swarm continuously learns and adapts. Agents refine their models and strategies based on the success or failure of their previous actions, allowing the system to improve over time.