What is graph traversal in AI?

What is graph traversal in AI?

Graph traversal refers to the process of visiting all the nodes in a graph data structure. It's essential in AI for tasks like searching and pathfinding.

What are the common algorithms used for graph traversal?

The most common algorithms are Depth-First Search (DFS) and Breadth-First Search (BFS). DFS explores as far as possible along each branch before backtracking, while BFS explores all neighbors at the present depth prior to moving on to nodes at the next depth level.

Can you explain how DFS works with an example?

Sure! In DFS, you start at a node, mark it as visited, and then recursively visit each unvisited neighbor. For example, if you have a graph with nodes A, B, and C, starting at A, you would visit B, then C, before backtracking.

What are the applications of graph traversal in AI?

Graph traversal is used in various AI applications, including social network analysis, recommendation systems, and pathfinding in games.