What are some common heuristics used in AI?
Common heuristics in AI include the A* algorithm for pathfinding, greedy algorithms for optimization, and the minimax algorithm in game theory.
Can you explain the A* algorithm?
Sure! The A* algorithm finds the shortest path from a start node to a goal node by using a cost function that combines the actual distance from the start and an estimated distance to the goal.
What is a greedy algorithm?
A greedy algorithm makes the locally optimal choice at each stage with the hope of finding a global optimum. It's often used in optimization problems.
Are there any drawbacks to using heuristics?
Yes, while heuristics can speed up problem-solving, they may not always guarantee the best solution and can lead to suboptimal results.
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