How does iterative deepening search work?

Can you explain how iterative deepening search works?

Sure! Iterative deepening search combines the benefits of depth-first and breadth-first search. It explores the search space by gradually increasing the depth limit.

What are the advantages of using iterative deepening search?

The main advantages are that it uses less memory than breadth-first search and guarantees finding the shortest path in an unweighted graph.

Are there any downsides to this approach?

Yes, one downside is that it can be slower than depth-first search because it revisits nodes multiple times.

In what scenarios is iterative deepening search most useful?

It's particularly useful in scenarios where the search space is large and the depth of the solution is unknown, like in puzzle solving.