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There are 3 types of informed search methods in artificial intelligence:
- Heuristic search is a type of search that uses a heuristic function to guide the search process. A heuristic function is a function that estimates the cost of reaching a goal state from a given state. Heuristic search can be used to find solutions to problems that are too difficult to solve using brute-force search.
- A* search is a type of heuristic search that is often used to find the shortest path between two nodes in a graph. A search uses a heuristic function to estimate the cost of reaching a goal state from a given state, and it also maintains a list of the nodes that have been visited. A search is a very efficient algorithm, and it is often used in problems such as route planning and game playing.
- Dynamic programming is a type of search that is used to solve problems that have overlapping subproblems. Dynamic programming works by storing the solutions to the subproblems, so that they can be reused when solving larger problems. Dynamic programming is a very efficient algorithm, and it is often used in problems such as finding the longest common subsequence of two strings and finding the optimal binary search tree.
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