The optimal search technique when step costs are all identical is Breadth first search.

Here's why:

1. Depth First Search (DFS): DFS is not optimal in this case because it might end up going deeper into a path without exploring other shorter possible paths.

2. Breadth First Search (BFS): BFS is optimal when all step costs are identical because it explores all the neighboring nodes at the present depth before moving on to nodes at the next depth level. Therefore, it always finds the shallowest goal node.

3. Uniform Cost Search (UCS): UCS is not optimal in this case because it is designed for situations where the step costs are not identical. It selects the node with the lowest path cost, not the shallowest node.

4. Depth Limited Search (DLS): DLS is not optimal in this case because it might not reach the goal node if the limit is less than the depth of the goal node.

So, the answer is Breadth First Search.

Question

The optimal search technique when step costs are all identical is Breadth first search.

Here's why:

1. Depth First Search (DFS): DFS is not optimal in this case because it might end up going deeper into a path without exploring other shorter possible paths.

2. Breadth First Search (BFS): BFS is optimal when all step costs are identical because it explores all the neighboring nodes at the present depth before moving on to nodes at the next depth level. Therefore, it always finds the shallowest goal node.

3. Uniform Cost Search (UCS): UCS is not optimal in this case because it is designed for situations where the step costs are not identical. It selects the node with the lowest path cost, not the shallowest node.

4. Depth Limited Search (DLS): DLS is not optimal in this case because it might not reach the goal node if the limit is less than the depth of the goal node.

So, the answer is Breadth First Search.

Knowee AI · Accepted Answer

The optimal search technique when step costs are all identical is Breadth first search.

Here's why:

1. Depth First Search (DFS): DFS is not optimal in this case because it might end up going deeper into a path without exploring other shorter possible paths.

2. Breadth First Search (BFS): BFS is optimal when all step costs are identical because it explores all the neighboring nodes at the present depth before moving on to nodes at the next depth level. Therefore, it always finds the shallowest goal node.

3. Uniform Cost Search (UCS): UCS is not optimal in this case because it is designed for situations where the step costs are not identical. It selects the node with the lowest path cost, not the shallowest node.

4. Depth Limited Search (DLS): DLS is not optimal in this case because it might not reach the goal node if the limit is less than the depth of the goal node.

So, the answer is Breadth First Search.

Which of the following search technique is optimal when step costs are all identicalans.Depth first searchBreadth first searchUniform cost searchDepth limited search Previous Marked for Review Next

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