MCQOPTIONS
Saved Bookmarks
MCQOPTIONS
This section includes 210 Mcqs, each offering curated multiple-choice questions to sharpen your Artificial Intelligence knowledge and support exam preparation. Choose a topic below to get started.
| 101. |
What among the following could the universal instantiation of ___________ For all x King(x) ^ Greedy(x) => Evil(x) |
| A. | King(John) ^ Greedy(John) => Evil(John) |
| B. | King(y) ^ Greedy(y) => Evil(y) |
| C. | King(Richard) ^ Greedy(Richard) => Evil(Richard) |
| D. | All of the mentioned |
| Answer» E. | |
| 102. |
Inference algorithm is complete only if, |
| A. | It can derive any sentence |
| B. | It can derive any sentence that is an entailed version |
| C. | It is truth preserving |
| D. | It can derive any sentence that is an entailed version & It is truth preserving |
| Answer» E. | |
| 103. |
‘α |= β ‘(to mean that the sentence α entails the sentence β) if and only if, in every model in which α is _____ β is also _____ |
| A. | True, true |
| B. | True, false |
| C. | False, true |
| D. | False, false |
| Answer» B. True, false | |
| 104. |
Wumpus World is a classic problem, best example of ____ |
| A. | Single player Game |
| B. | Two player Game |
| C. | Reasoning with Knowledge |
| D. | Knowledge based Game |
| Answer» D. Knowledge based Game | |
| 105. |
A) Knowledge base (KB) is consists of set of statements. B) Inference is deriving a new sentence from the KB. Choose the correct option. |
| A. | A is true, B is true |
| B. | A is false, B is false |
| C. | A is true, B is false |
| D. | A is false, B is true |
| Answer» B. A is false, B is false | |
| 106. |
What form of negation does the prolog allows? |
| A. | Negation as failure |
| B. | Proposition |
| C. | Substitution |
| D. | Negation as success |
| Answer» B. Proposition | |
| 107. |
Which is omitted in prolog unification algorithm? |
| A. | Variable check |
| B. | Occur check |
| C. | Proposition check |
| D. | Both Occur & Proposition check |
| Answer» C. Proposition check | |
| 108. |
How many possible sources of complexity are there in forward chaining? |
| A. | 1 |
| B. | 2 |
| C. | 3 |
| D. | 4 |
| Answer» D. 4 | |
| 109. |
When the resolution is called as refutation-complete? |
| A. | Sentence is satisfiable |
| B. | Sentence is unsatisfiable |
| C. | Sentence remains the same |
| D. | None of the mentioned |
| Answer» C. Sentence remains the same | |
| 110. |
What will happen if two literals are identical? |
| A. | Remains the same |
| B. | Added as three |
| C. | Reduced to one |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 111. |
What kind of clauses are available in Conjunctive Normal Form ? |
| A. | Disjunction of literals |
| B. | Disjunction of variables |
| C. | Conjunction of literals |
| D. | Conjunction of variables |
| Answer» B. Disjunction of variables | |
| 112. |
What can be viewed as single lateral of disjunction ? |
| A. | Multiple clause |
| B. | Combine clause |
| C. | Unit clause |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 113. |
Which form is called as conjunction of disjunction of literals? |
| A. | Conjunctive normal form |
| B. | Disjunctive normal form |
| C. | Normal form |
| D. | All of the mentioned |
| Answer» B. Disjunctive normal form | |
| 114. |
What can be viewed as single lateral of disjunction? |
| A. | Multiple clause |
| B. | Combine clause |
| C. | Unit clause |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 115. |
The adjective “first-order” distinguishes first-order logic from ___________ in which there are predicates having predicates or functions as arguments, or in which one or both of predicate quantifiers or function quantifiers are permitted. |
| A. | Representational Verification |
| B. | Representational Adequacy |
| C. | Higher Order Logic |
| D. | Inferential Efficiency |
| Answer» D. Inferential Efficiency | |
| 116. |
Translate the following statement into FOL. “For every a, if a is a philosopher, then a is a scholar” |
| A. | ∀ a philosopher(a) scholar(a) |
| B. | ∃ a philosopher(a) scholar(a) |
| C. | All of the mentioned |
| D. | None of the mentioned |
| Answer» B. ∃ a philosopher(a) scholar(a) | |
| 117. |
Which function is used to calculate the feasibility of whole game tree? |
| A. | Evaluation function |
| B. | Transposition |
| C. | Alpha-beta pruning |
| D. | All of the mentioned |
| Answer» B. Transposition | |
| 118. |
Which is identical to the closed list in Graph search? |
| A. | Hill climbing search algorithm |
| B. | Depth-first search |
| C. | Transposition table |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 119. |
Which search is equal to minimax search but eliminates the branches that can’t influence the final decision? |
| A. | Depth-first search |
| B. | Breadth-first search |
| C. | Alpha-beta pruning |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 120. |
Which approach is to pretend that a pure divide and conquer algorithm will work? |
| A. | Goal independence |
| B. | Subgoal independence |
| C. | Both Goal & Subgoal independence |
| D. | None of the mentioned |
| Answer» C. Both Goal & Subgoal independence | |
| 121. |
What is the other name of backward state-space search? |
| A. | Regression planning |
| B. | Progression planning |
| C. | State planning |
| D. | Test planning |
| Answer» B. Progression planning | |
| 122. |
The complexity of minimax algorithm is |
| A. | Same as of DFS |
| B. | Space – bm and time – bm |
| C. | Time – bm and space – bm |
| D. | Same as BFS |
| Answer» B. Space – bm and time – bm | |
| 123. |
General algorithm applied on game tree for making decision of win/lose is _______ |
| A. | DFS/BFS Search Algorithms |
| B. | Heuristic Search Algorithms |
| C. | Greedy Search Algorithms |
| D. | MIN/MAX Algorithms |
| Answer» E. | |
| 124. |
Which of the following algorithm is generally used CSP search algorithm? |
| A. | Breadth-first search algorithm |
| B. | Depth-first search algorithm |
| C. | Hill-climbing search algorithm |
| D. | None of the mentioned |
| Answer» C. Hill-climbing search algorithm | |
| 125. |
When do we call the states are safely explored? |
| A. | A goal state is unreachable from any state |
| B. | A goal state is denied access |
| C. | A goal state is reachable from every state |
| D. | None of the mentioned |
| Answer» D. None of the mentioned | |
| 126. |
Backtracking is based on, |
| A. | Last in first out |
| B. | First in first out |
| C. | Recursion |
| D. | Both Last in first out & Recursion |
| Answer» E. | |
| 127. |
Language/Languages used for programming Constraint Programming includes |
| A. | Prolog |
| B. | C# |
| C. | c |
| D. | Fortrun |
| Answer» B. C# | |
| 128. |
Flexible CSPs relax on _______ |
| A. | Constraints |
| B. | Current State |
| C. | Initial State |
| D. | Goal State |
| Answer» B. Current State | |
| 129. |
____________ 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. |
| A. | Static CSPs |
| B. | Dynamic CSPs |
| C. | Flexible CSPs |
| D. | None of the mentioned |
| Answer» C. Flexible CSPs | |
| 130. |
Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size. |
| A. | P complete |
| B. | NP complete |
| C. | NP hard |
| D. | Domain dependent |
| Answer» C. NP hard | |
| 131. |
Constraint satisfaction problems on finite domains are typically solved using a form of ___________ |
| A. | Search Algorithms |
| B. | Heuristic Search Algorithms |
| C. | Greedy Search Algorithms |
| D. | All of the mentioned |
| Answer» E. | |
| 132. |
To overcome the need to backtrack in constraint satisfaction problem can be eliminated by |
| A. | Forward Searching |
| B. | Constraint Propagation |
| C. | Backtrack after a forward search |
| D. | Omitting the constraints and focusing only on goals |
| Answer» B. Constraint Propagation | |
| 133. |
Consider a problem of preparing a schedule for a class of student. This problem is a type of |
| A. | Search Problem |
| B. | Backtrack Problem |
| C. | CSP |
| D. | Planning Problem |
| Answer» D. Planning Problem | |
| 134. |
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. |
| A. | Forward search |
| B. | Backtrack search |
| C. | Hill algorithm |
| D. | Reverse-Down-Hill search |
| Answer» C. Hill algorithm | |
| 135. |
What among the following constitutes to the incremental formulation of CSP? |
| A. | Path cost |
| B. | Goal cost |
| C. | Successor function |
| D. | All of the mentioned |
| Answer» E. | |
| 136. |
Which of the Following problems can be modeled as CSP? |
| A. | 8-Puzzle problem |
| B. | 8-Queen problem |
| C. | Map coloring problem |
| D. | All of the mentioned |
| Answer» E. | |
| 137. |
_________________ are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations. |
| A. | Constraints Satisfaction Problems |
| B. | Uninformed Search Problems |
| C. | Local Search Problems |
| D. | All of the mentioned |
| Answer» B. Uninformed Search Problems | |
| 138. |
Random mutation & Fitness function |
| A. | Offline agent |
| B. | Online agent |
| C. | Both Offline & Online agent |
| D. | Goal Based & Online agent |
| Answer» E. | |
| 139. |
___________ algorithm keeps track of k states rather than just one. |
| A. | Hill-Climbing search |
| B. | Local Beam search |
| C. | Stochastic hill-climbing search |
| D. | Random restart hill-climbing search |
| Answer» C. Stochastic hill-climbing search | |
| 140. |
Hill-Climbing approach stuck for the following reasons |
| A. | Local maxima |
| B. | Ridges |
| C. | Plateaux |
| D. | All of the mentioned |
| Answer» E. | |
| 141. |
Hill climbing sometimes called ____________ because it grabs a good neighbor state without thinking ahead about where to go next. |
| A. | Needy local search |
| B. | Heuristic local search |
| C. | Greedy local search |
| D. | Optimal local search |
| Answer» D. Optimal local search | |
| 142. |
______________ Is an algorithm, a loop that continually moves in the direction of increasing value – that is uphill |
| A. | Up-Hill Search |
| B. | Hill-Climbing |
| C. | Hill algorithm |
| D. | Reverse-Down-Hill search |
| Answer» C. Hill algorithm | |
| 143. |
In many problems the path to goal is irrelevant, this class of problems can be solved using, |
| A. | Informed Search Techniques |
| B. | Uninformed Search Techniques |
| C. | Local Search Techniques |
| D. | Informed & Uninformed Search Techniques |
| Answer» D. Informed & Uninformed Search Techniques | |
| 144. |
Greedy search strategy chooses the node for expansion |
| A. | Shallowest |
| B. | Deepest |
| C. | The one closest to the goal node |
| D. | Minimum heuristic cost |
| Answer» D. Minimum heuristic cost | |
| 145. |
In greedy approach evaluation function is |
| A. | Heuristic function |
| B. | Path cost from start node to current node |
| C. | Path cost from start node to current node + Heuristic cost |
| D. | Average of Path cost from start node to current node and Heuristic cost |
| Answer» B. Path cost from start node to current node | |
| 146. |
What is the space complexity of Greedy search? |
| A. | O(b) |
| B. | O(bl) |
| C. | O(m) |
| D. | O(bm) |
| Answer» E. | |
| 147. |
Heuristic function h(n) is ____ |
| A. | Lowest path cost |
| B. | Cheapest path from root to goal node |
| C. | Estimated cost of cheapest path from root to goal node |
| D. | Average path cost |
| Answer» D. Average path cost | |
| 148. |
Which search method will expand the node that is closest to the goal? |
| A. | Best-first search |
| B. | Greedy best-first search |
| C. | A* search |
| D. | None of the mentioned |
| Answer» C. A* search | |
| 149. |
Which is used to improve the performance of heuristic search ? |
| A. | Quality of nodes |
| B. | Quality of heuristic function |
| C. | Simple form of nodes |
| D. | None of the mentioned |
| Answer» C. Simple form of nodes | |
| 150. |
Which is used to improve the performance of heuristic search? |
| A. | Quality of nodes |
| B. | Quality of heuristic function |
| C. | Simple form of nodes |
| D. | None of the mentioned |
| Answer» C. Simple form of nodes | |