Question Discussion & Solution

MCQ

The Set of actions for a problem in a state space is formulated by a ___________

Initial state

Last state

Intermediate state

All of the mentioned

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What are the main cons of hill-climbing search?

Terminates at local optimum & Does not find optimum solution

Terminates at global optimum & Does not find optimum solution

Does not find optimum solution & Fail to find a solution

Fail to find a solution

Discussion

MCQ

In many problems the path to goal is irrelevant, this class of problems can be solved using ____________

Informed Search Techniques

Uninformed Search Techniques

Local Search Techniques

Informed & Uninformed Search Techniques

Discussion

MCQ

What is the evaluation function in A* approach?

Heuristic function

Path cost from start node to current node

Path cost from start node to current node + Heuristic cost

Average of Path cost from start node to current node and Heuristic cost

Discussion

MCQ

Which function will select the lowest expansion node at first for evaluation?

Greedy best-first search

Best-first search

Depth-first search

None of the mentioned

Discussion

MCQ

Which is used to improve the performance of heuristic search?

Quality of nodes

Quality of heuristic function

Simple form of nodes

None of the mentioned

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LISP Programming

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