Artificial Intelligence MCQs

Page No. 25

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


aInformed Search Techniques

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bUninformed Search Techniques

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cLocal Search Techniques

✓


dInformed & Uninformed Search Techniques

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Which of the following algorithm is generally used CSP search algorithm?


aBreadth-first search algorithm

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bDepth-first search algorithm

✓


cHill-climbing search algorithm

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dNone of the mentioned

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When do we call the states are safely explored?


a A goal state is unreachable from any state

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bA goal state is denied access

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cA goal state is reachable from every state

✓


dNone of the mentioned

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Constraint Propagation technique actually modifies the CSP problem.


aTrue

✓


bFalse

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cA & B

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dNone of these

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View Answer True

Backtracking is based on ____________


aLast in first out

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bFirst in first out

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cRecursion

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dBoth Last in first out & Recursion

✓



Language/Languages used for programming Constraint Programming includes ____________


a Prolog

✓


bC#

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cC

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d Fortrun

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View Answer Prolog

Flexible CSPs relax on _______


aConstraints

✓


b Current State

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cInitial State

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dGoal State

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View Answer Constraints

____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment.


aStatic CSPs

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bDynamic CSPs

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cFlexible CSPs

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d None of the mentioned

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View Answer Dynamic CSPs

Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size.


aP complete

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b NP complete

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cNP hard

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dDomain dependent

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View Answer NP complete

Constraint satisfaction problems on finite domains are typically solved using a form of ___________


aSearch Algorithms

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b Heuristic Search Algorithms

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cGreedy Search Algorithms

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dAll of the mentioned

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View Answer All of the mentioned

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