# Artificial Intelligence And Soft Computing MCQ - QPkendra

Question 61 : Local Search algorithms are good for _____

1. Optimal Solutions
2. Problems with memory constraints
3. Problem with no memory constraints
4. Problem with no time constraints

Question 62 : Î± -> Î² is FALSE only when Î± is _____ and Î² is ________

1. TRUE, TRUE
2. FALSE, TRUE
3. TRUE, FALSE
4. FALSE, FALSE

Question 63 : FOPL and Proposition Logic are examples of ______ language

1. High Level Language
2. Low Level Language
3. Natural Language
4. Knowledge representation language

Question 64 : Î± <==> Î² is ________ connective and is equivalent to _____ boolean GATE

1. Bi conditional , OR
2. Bi conditional , XOR
3. Implication , XOR
4. Bi conditional , X NOR

Question 65 : What is FOPL equivalent for "All Romans were either loyal to Caesar or hated him"

1. âˆ€x roman(x)-> loyalTo(x,Caesar) V hate(x,Caesar)
2. âˆ€x roman(x) âˆ§ loyalTo(x,Caesar) V hate(x,Caesar)
3. âˆƒx roman(x) âˆ§ loyalTo(x,Caesar) V hate(x,Caesar)
4. âˆƒx roman(x)-> loyalTo(x,Caesar) V hate(x,Caesar)

Question 66 : . In CNF, existentially quantified variables are replaced by a ___ process.

1. Recursion
2. Iteraton
3. Skolemization
4. Normalization

Question 67 : âˆƒx âˆƒy admires(x,y)

1. Every one admires some one
2. Some one admires every one
3. Some one admires some one
4. Every one admire every one

Question 68 : The ____ can not be regarded as type of planning in AI

1. Total Order planning
2. Partial Order Planning
3. Hierarchical Planning
4. Mesh Planning

Question 69 : Planning agent is regarded as equivalent to _____

1. Problem Solving Agent
2. Knowledge Based Agent
3. Database Agent
4. Problem Solving Agent + Knowledge Based Agent

Question 70 : In Decision Tree, the leaf node represents _____

1. test on attribute
2. class label
3. outcome of test
4. cluster

Question 71 : In Unsupervised learning the desired output is ______

1. Known
2. Not Known
3. Labelled
4. None of the mentioned

Question 72 : _______ is regarded as brain of an Expert System.

1. Inference Engine
2. User Interface
3. Knowledge Base
4. End User

Question 73 : In NLP ______ includes breaking of chunks of language input into sets of tokens corresponding to paragraphs, sentences and words.

1. Morphological Processing
2. Symantic Analysis
3. Pragmatic Analysis
4. Discourse Integration

Question 74 : ______ checks the text for meaningfulness comparing to the rules of formal grammar.

1. Semantic Analysis
2. Syntactic Analysis
3. Pragmatic Analysis
4. Discourse Integration

Question 75 : Which is not an example of NLP application?

1. Document Summaraization
2. Language Translation
3. Smart Assistant
4. Voice Recognition

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