Crow & Pointer
Pointer
Ever thought about how we could reduce the time complexity of a multi‑agent search algorithm without sacrificing accuracy?
Crow
Maybe break the problem into layers and let each agent handle a sub‑space, then merge the results with a lightweight consensus step. Use a good heuristic to cut off dead ends early, and cache states that have already been evaluated so you don't revisit them. That keeps accuracy high while shaving off the redundant search.
Pointer
Nice layering idea, just make sure your heuristic stays tight; a sloppy one can turn a quick prune into a nightmare. Also, use a fast hash for state caching—slow structures will swallow the time savings.
Crow
Sure thing, tight heuristics are the key—if it drifts, you end up pruning the wrong paths and it all backfires. Pick a hash that’s lightning‑fast; even a single collision can erode those gains. Keep it simple, keep it quick, and you’ll stay ahead of the curve.
Pointer
Got it—simple, fast, collision‑free. Let me know if you need help tuning that hash or picking a better heuristic. Happy to dive in.
Crow
Sounds good, let me flag it if the hash starts lagging or the heuristic drifts. Thanks.
Pointer
Will do. Keep me posted on any performance drops or heuristic drift.