Part 6/11:
AAR, or the "Ant-colony" style algorithm, models exploration and decision-making as a process similar to ants finding paths to food sources. It balances breadth-first search (exploring all options) with depth-first search (delving deeper into promising options), enabling efficient navigation through complex problem spaces.
This dual approach allows the system to dynamically adapt, finding new routes or solutions even when initial plans fail—much like a human exploring city streets or troubleshooting technical issues.