🚀 Implemented Breadth-First Search in Python—exploring level by level to guarantee shortest paths in unweighted graphs!
How do you visualize your frontier? 👀
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AI Search Algorithms
Uninformed (BFS, DFS, UCS) = no heuristics
Informed (Greedy, A*) = use heuristics
The right search = faster, smarter AI.
This diagram helped me visualize everything!
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A* algorithm = smart pathfinding.
It uses:
f(n) = g(n) + h(n)
g(n) = actual cost
h(n) = guessed cost
It’s faster than BFS but still finds the best path.
Used in games, GPS, bots.
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BFS vs DFS:
You’re in a building looking for a friend.
BFS = Check all rooms on the floor first.
DFS = Go deep into one path until you hit a dead end.
Use BFS for shortest path.
DFS is better for memory use.
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Ever wondered how AI finds the shortest path in a maze?
It uses search algorithms like:
- BFS
- DFS
- A*
- Greedy Best-First Search
They explore paths, avoid dead ends, and choose the best move.
Follow for easy breakdowns.
#AI#SearchAlgorithm#TechTwitter
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