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Tree Search

/triː sɜːrtʃ/noun
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Tree search refers to a computational algorithm that explores nodes in a hierarchical tree data structure to locate specific information or paths, making it essential for efficient problem-solving in complex systems. In modern contexts, it's widely applied in AI for tasks like game playing and route optimization, where it balances speed and thoroughness to handle vast amounts of interconnected data without getting lost in the branches.

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The A* tree search algorithm, invented in 1968, can reduce search times in navigation systems by up to 90% compared to basic methods, which is why it's used in everything from self-driving cars to video game pathfinding—potentially saving a delivery driver several hours on a cross-country route by choosing the optimal path through traffic.

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