Research1h ago
Three-Level Learning Architecture For UAV Swarms
Twenty-two architectural constraints define a new hierarchical learning system for UAV swarms in search and rescue. The framework blends Hebbian neuroplasticity, graph neural networks, and BDI reasoning to mimic biological reflexes and strategic thought. This hybrid approach targets better tactical coordination. It offers a more structured alternative to single-paradigm learning for autonomous agent swarms.