Research1h ago
Three-Level Learning Architecture for UAV Swarms
Twenty-two architectural constraints define a new hierarchical learning system for autonomous UAV swarms. The framework integrates Hebbian neuroplasticity, graph neural networks, and BDI reasoning to mimic biological reflexes and strategic thought. This approach uses a digital twin for high-level decision making. It offers a structured template for coordinating multi-agent search and rescue operations.