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DFS
/ˌdiːˌefˈɛs/noun
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DFS, or Depth-First Search, is an algorithm used to traverse or search through the nodes of a graph or tree data structure by exploring as far as possible along each branch before backtracking. This method prioritizes depth over breadth, making it ideal for applications like pathfinding in mazes or AI decision trees, but it can sometimes lead to inefficiencies in very large or infinite graphs due to potential stack overflows.
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DFS played a key role in the development of early AI, including IBM's Deep Blue chess computer, which used a variant to evaluate up to 200 million positions per second and ultimately defeated world champion Garry Kasparov in 1997, marking a milestone in human-machine competition.
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