What are some examples of admissible heuristics in AI?
An example of an AI chatbot conversation about admissible heuristics in artificial intelligence.
What are some examples of admissible heuristics in AI?
Admissible heuristics are estimates that never overestimate the cost to reach the goal. Examples include the Manhattan distance and Euclidean distance.
Can you explain the Manhattan distance heuristic?
Sure! The Manhattan distance is the sum of the absolute differences of the Cartesian coordinates. It's used in grid-based pathfinding.
What about the Euclidean distance heuristic?
The Euclidean distance is the straight-line distance between two points in Euclidean space, calculated using the Pythagorean theorem.
Are there any other heuristics that are admissible?
Yes, other examples include the zero heuristic (which is always admissible) and domain-specific heuristics tailored to particular problems.
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