Can you explain what heuristic functions are in the A* algorithm?
Heuristic functions in the A* algorithm estimate the cost to reach the goal from a given node, helping to prioritize paths.
How do you choose a good heuristic function?
A good heuristic function should be admissible, meaning it never overestimates the true cost to reach the goal.
Can you give an example of a heuristic function?
Sure! In a grid-based pathfinding scenario, the Manhattan distance is a common heuristic for estimating distance.
What are the benefits of using A* with heuristic functions?
Using A* with heuristic functions can significantly reduce the search space and improve efficiency in finding optimal paths.
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