What are the different ways to represent a maze in AI?
There are several ways to represent a maze, including grid representation, adjacency lists, and graph structures. Each has its own advantages.
Can you explain the grid representation in more detail?
Sure! In grid representation, the maze is depicted as a 2D array where each cell can be a wall or a path. This makes it easy to visualize and navigate.
What about the adjacency list representation?
An adjacency list represents the maze as a collection of nodes, where each node corresponds to a cell and lists its neighboring cells. This is efficient for sparse mazes.
Which representation is best for solving mazes?
It depends on the algorithm used. For example, grid representation is often preferred for algorithms like A* or DFS, while graph structures are better for more complex mazes.
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