Question Discussion & Solution

MCQ

To overcome the need to backtrack in constraint satisfaction problem can be eliminated by ____________

Forward Searching

Constraint Propagation

Backtrack after a forward search

Omitting the constraints and focusing only on goals

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MCQ

A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum.

Less memory

More time

Finds a solution in large infinite space

Less memory & Finds a solution in large infinite space

Discussion

MCQ

The term ___________ is used for a depth-first search that chooses values for one variable at a time and returns when a variable has no legal values left to assign.

Forward search

Backtrack search

Hill algorithm

Reverse-Down-Hill search

Discussion

MCQ

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

What is the evaluation function in greedy 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 of the Following problems can be modeled as CSP?

8-Puzzle problem

8-Queen problem

Map coloring problem

All of the mentioned

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