# What is greedy best first search in artificial intelligence?

**What is greedy best first search in artificial intelligence?**In

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**Best**–**first Search** Algorithm (**Greedy Search**): **Greedy best**–**first search** algorithm always selects the path which appears **best** at that moment. In the **best first search** algorithm, we expand the node which is closest to the goal node and the closest cost is estimated by **heuristic** function, i.e. f(n)= g(n).

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Then, what is greedy best first search?

**Best**–**first search** is a **search** algorithm which explores a graph by expanding the most promising node chosen according to a specified rule. This specific type of **search** is called **greedy best**–**first search** or pure heuristic **search**.

Similarly, what is the heuristic function of greedy best first search? **Greedy best**–**first search** tries to expand the node that is closest to the goal, on the grounds that this is likely to lead to a solution quickly. Thus, it evaluates nodes by using just the **heuristic function**; that is, f(n)=h(n).

Similarly, what is greedy search in artificial intelligence?

In **greedy search**, we expand the node closest to the goal node. The “closeness” is estimated by a heuristic h(x) . Heuristic: A heuristic h is defined as- h(x) = Estimate of distance of node x from the goal node. Lower the value of h(x) , closer is the node from the goal.

What is the difference between greedy best first search and A * search algorithm?

2 Answers. **Best**–**first search algorithm** visits next state based on heuristics function f(n) = h with lowest heuristic value (often called **greedy**). Therefore it doesn’t chooses next state only with lowest heuristics value but one that gives lowest value when considering it’s heuristics and cost **of** getting to that state.

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