What are the applications of iterative deepening search in AI?
Iterative deepening search (IDS) is used in AI for pathfinding and game tree exploration, balancing depth and breadth.
Can you explain how it balances depth and breadth?
Sure! IDS combines the benefits of depth-first search's low memory usage and breadth-first search's completeness by incrementally deepening the search depth.
What are some specific examples of where IDS is applied?
IDS is commonly used in AI for solving puzzles like the 8-puzzle, in chess engines for move generation, and in robotics for navigation.
Are there any limitations to using iterative deepening search?
Yes, while IDS is efficient, it can be slower than other methods for very deep solutions due to repeated state exploration.
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