The example of an informed (heuristic) search algorithm from the given options is A* search.

Here's why:

1. Hill Climbing: This is a local search algorithm and does not always guarantee an optimal solution because it often gets stuck in local optima.

2. Breadth-First Search (BFS): This is an uninformed search algorithm. It explores all the vertices of a graph in breadth-first order, i.e., all vertices at the current level are explored before moving to the next level.

3. Depth-First Search (DFS): This is also an uninformed search algorithm. It explores all the vertices of a graph in depth-first order, i.e., it explores as far as possible along each branch before backtracking.

4. A* Search: This is an informed search algorithm. It uses a heuristic function to estimate the cost of the path from a given state to the goal state, which guides the search process. This makes it more efficient than uninformed search algorithms like BFS and DFS.

Question

The example of an informed (heuristic) search algorithm from the given options is A* search.

Here's why:

1. Hill Climbing: This is a local search algorithm and does not always guarantee an optimal solution because it often gets stuck in local optima.

2. Breadth-First Search (BFS): This is an uninformed search algorithm. It explores all the vertices of a graph in breadth-first order, i.e., all vertices at the current level are explored before moving to the next level.

3. Depth-First Search (DFS): This is also an uninformed search algorithm. It explores all the vertices of a graph in depth-first order, i.e., it explores as far as possible along each branch before backtracking.

4. A* Search: This is an informed search algorithm. It uses a heuristic function to estimate the cost of the path from a given state to the goal state, which guides the search process. This makes it more efficient than uninformed search algorithms like BFS and DFS.

Knowee AI · Accepted Answer

The example of an informed (heuristic) search algorithm from the given options is A* search.

Here's why:

1. Hill Climbing: This is a local search algorithm and does not always guarantee an optimal solution because it often gets stuck in local optima.

2. Breadth-First Search (BFS): This is an uninformed search algorithm. It explores all the vertices of a graph in breadth-first order, i.e., all vertices at the current level are explored before moving to the next level.

3. Depth-First Search (DFS): This is also an uninformed search algorithm. It explores all the vertices of a graph in depth-first order, i.e., it explores as far as possible along each branch before backtracking.

4. A* Search: This is an informed search algorithm. It uses a heuristic function to estimate the cost of the path from a given state to the goal state, which guides the search process. This makes it more efficient than uninformed search algorithms like BFS and DFS.

Which of the following is an example of an informed (heuristic) search algorithm?OptionsHill ClimbingBreadth-First Search (BFS) Depth-First Search (DFS)A* search

Question

Solution

Similar Questions

Upgrade your grade with Knowee