ARTIFICIAL INTELLIGENCE GTU MCQ(CH-6 Uncertain Knowledge)

ARTIFICIAL INTELLIGENCE 

[ SUBJECT CODE: 2180703 ]

CH-5 UNCERTAIN KNOWLEDGE 

Topics Covers:-

Procedural Versus Declarative Knowledge, Logic Programming, Forward Versus Backward Reasoning. 

MCQ:-

1.How the entries in the full joint probability distribution can be calculated?
a) Using variables
b) Using information
c) Both Using variables & information
d) None of the mentioned

2.How the bayesian network can be used to answer any query?
a) Full distribution
b) Joint distribution
c) Partial distribution
d) All of the mentioned

 3.To which does the local structure is associated?
a) Hybrid
b) Dependant
c) Linear
d) None of the mentioned

4.Which condition is used to influence a variable directly by all the others?
a) Partially connected
b) Fully connected
c) Local connected
d) None of the mentioned

5.What is the consequence between a node and its predecessors while creating bayesian network?
a) Functionally dependent
b) Dependant
c) Conditionally independent
d) Both Conditionally depend

6.What is the form of Fuzzy logic?
a) Two-valued logic
b) Crisp set logic
c) Many-valued logic
d) Binary set logic

7.Traditional set theory is also known as Crisp Set theory.
a) True
b) False

8.The truth values of traditional set theory is ____________ and that of fuzzy set is __________
a) Either 0 or 1, between 0 & 1
b) Between 0 & 1, either 0 or 1
c) Between 0 & 1, between 0 & 1
d) Either 0 or 1, either 0 or 1

 9.The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______
a) Fuzzy Set
b) Crisp Set
c) Fuzzy & Crisp Set
d) None of the mentioned

10.The values of the set membership is represented by ___________
a) Discrete Set
b) Degree of truth
c) Probabilities
d) Both Degree of truth & Probabilities

11.Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.
a) AND
b) OR
c) NOT
d) All of the mentioned

12.Fuzzy logic is usually represented as ___________
a) IF-THEN-ELSE rules
b) IF-THEN rules
c) Both IF-THEN-ELSE rules & IF-THEN rules
d) None of the mentioned

13.______________ is/are the way/s to represent uncertainty.
a) Fuzzy Logic
b) Probability
c) Entropy
d) All of the mentioned

14.Which is true for Decision theory?
a) Decision Theory = Probability theory + utility theory
b) Decision Theory = Inference theory + utility theory
c) Decision Theory = Uncertainty + utility theory
d) Decision Theory = Probability theory + preference

15.What enables people to recognize people, animals and inanimate objects reliably?
a) Speech
b) Vision
c) Hear
d) Perception

 16.How many types of recognition are there in artificial intelligence?
a) 1
b) 2
c) 3
d) 4

17.Which are recognized by vision?
a) Objects
b) Activities
c) Motion
d) Both Objects & Activities

18.Which object recognition process is an error-prone process?

a) Bottom-up segmentation
b) Top-down segmentation
c) Both Bottom-up & Top-down segmentation
d) None of the mentioned

 19.Which is the only way to learn about the different kinds of human faces?
a) Perception
b) Speech
c) Learning
d) Hearing

20.What does the bayesian network provides?
a) Complete description of the domain
b) Partial description of the domain
c) Complete description of the problem
d) None of the mentioned

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ARTIFICIAL INTELLIGENCE GTU MCQ(CH-5 Knowledge Representation)

ARTIFICIAL INTELLIGENCE 

[ SUBJECT CODE: 2180703 ]

CH-5 KNOWLEDGE REPRESENTATION

Topics Covers:-

Representations And Mappings, Approaches To Knowledge Representation

MCQ:-

1.Knowledge and reasoning also play a crucial role in dealing with _____environment.
a) Completely Observable
b) Partially Observable
c) Neither Completely nor Partially Observable
d) Only Completely and Partially Observable

2.Treatment chosen by doctor for a patient for a disease is based on _____________
a) Only current symptoms
b) Current symptoms plus some knowledge from the textbooks
c) Current symptoms plus some knowledge from the textbooks plus experience
d) All of the mentioned

 3.Which is not Familiar Connectives in First Order Logic?
a) and
b) if
c) or
d) not

4.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

5.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

6. What are Semantic Networks?
a) A way of representing knowledge
b) Data Structure
c) Data Type
d) None of the mentioned

 7.Graph used to represent semantic network is__________

a) Undirected graph
b) Directed graph
c) Directed Acyclic graph (DAG)
d) Directed complete graph

8.Which of the following is an extension of the semantic network?

a) Expert Systems

b) Rule Based Expert Systems

c) Decision Tree Based networks

d) Partitioned Networks

 9.Semantic Network represents _____________
a) Syntactic relation between concepts
b) Semantic relations between concepts
c) All of the mentioned
d) None of the mentioned

10.What are the limitations of the semantic networks?
a) Intractability
b) Lack in expressing some of the properties
c) Incomplete
d) Has memory constraints

11.What is the frame?
a) A way of representing knowledge
b) Data Structure
c) Data Type
d) None of the mentioned

12.Which of the following elements constitutes the frame structure?
a) Facts or Data
b) Procedures and default values
c) Frame names
d) Frame reference in hierarchy

13.The process by which the brain orders actions needed to complete a specific task is referred as ____________

a) Planning problem
b) Partial order planning
c) Total order planning
d) Both Planning problem & Partial order planning

14.Planning graphs consists of ____________
a) a sequence of levels
b) a sequence of levels which corresponds to time steps in the plan
c) a sequence of actions which corresponds to the state of the system
d) none of the mentioned

15._____ algorithms is used to extract the plan directly from the planning graph, rather than using graph to provide heuristic.

a) BFS/DFS
b) A*
c) Graph-Plan
d) Greedy

16.What is the other name of each plan resulted in partial order planning?
a) Polarization
b) Linearization
c) Solarization
d) None of the mentioned

17.Following is/are the components of the partial order planning.
a) Bindings
b) Goal
c) Causal Links
d) All of the mentioned

18.In partial order plan.
A. Relationships between the actions of the behavior are set prior to the actions
B. Relationships between the actions of the behavior are not set until absolutely necessary.

Choose the correct option.
a) A is true
b) B is true
c) Either A or B can be true depending upon situation
d) Neither A nor B is true

19.There exists two way to infer using semantic networks in which knowledge is represented as Frames.
1) Intersection Search
2) Inheritance Search
a) True
b) False

20.A semantic network is used when one has knowledge that is best understood as a set of concepts that are related to one another.
a) True
b) False

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ARTIFICIAL INTELLIGENCE GTU MCQ(CH-4 Logical Agent)

ARTIFICIAL INTELLIGENCE 

[ SUBJECT CODE: 2180703 ]

CH-4 LOGICAL AGENT

Topics Covers:-

Representation Simple Facts In Logic, Representing Instance And Isa Relationships, Commutable Functions And Predicates, Resolution.

MCQ:-

1.First Order Logic is also known as ___________

a) First Order Predicate Calculus

b) Quantification Theory

c) Lower Order Calculus

d) All of the mentioned

2.Which is used to construct the complex sentences?

a) Symbols

b) Connectives

c) Logical connectives

d) All of the mentioned

3.How many proposition symbols are there in artificial intelligence?

a) 1

b) 2

c) 3

d) 4

4.Which is used to compute the truth of any sentence?

a) Semantics of propositional logic

b) Alpha-beta pruning

c) First-order logic

d) Both Semantics of propositional logic & Alpha-beta pruning

5.Which are needed to compute the logical inference algorithm?

a) Logical equivalence

b) Validity

c) Satisfiability

d) All of the mentioned

6.Which form is called as a conjunction of dis junction of literals?

a) Conjunctive normal form

b) Disjunctive normal form

c) Normal form

d) All of the mentioned

7.How to eliminate the redundant rule matching attempts in the forward chaining?

a) Decremental forward chaining

b) Incremental forward chaining

c) Data complexity

d) None of the mentioned

8.How many possible sources of complexity are there in forwardchaining?

a) 1

b) 2

c) 3

d) 4

9.Which is mainly used for automated reasoning?

a) Backward chaining

b) Forward chaining

c) Logic programming

d) Parallel programming

10.Which algorithm are in more similar to backward chaining algorithm?

a) Depth-first search algorithm

b) Breadth-first search algorithm

c) Hill-climbing search algorithm

d) All of the mentioned

11.Which problem can frequently occur in backward chaining algorithm?

a) Repeated states

b) Incompleteness

c) Complexity

d) Both Repeated states & Incompleteness

12.Which is omitted in prolog unification algorithm?

a) Variable check

b) Occur check

c) Proposition check

d) Both Occur & Proposition check

13.What form of negation does the prolog allows?

a) Negation as failure

b) Proposition

c) Substitution

d) Negation as success

14.Which is a refutation complete inference procedure for propositional logic?

a) Clauses

b) Variables

c) Propositional resolution

d) Proposition

15.What is the condition of literals in variables?

a) Existentially quantified

b) Universally quantified

c) Quantified

d) None of the mentioned

16.Which can be converted to inferred equivalent CNF sentence?

a) Every sentence of propositional logic

b) Every sentence of inference

c) Every sentence of first-order logic

d) All of the mentioned

17.Which sentence will be unsatisfiable if the CNF sentence is unsatisfiable?

a) Search statement

b) Reading statement

c) Replaced statement

d) Original statement

18.At which state does the propositional literals are complementary?

a) If one variable is less

b) If one is the negation of the other

c) All of the mentioned

d) None of the mentioned

19.What is meant by factoring?

a) Removal of redundant variable

b) Removal of redundant literal

c) Addition of redundant literal

d) Addition of redundant variable

20.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

21.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

22.How the logic programming can be constructed?

a) Variables

b) Expressing knowledge in a formal language

c) Graph

d) All of the mentioned

23.What is used in backward chaining algorithm?

a) Conjuncts

b) Substitution

c) Composition of substitution

d) None of the mentioned

24.How can be the goal is thought of in backward chaining algorithm?

a) Queue

b) List

c) Vector

d) Stack

25.From where did the new fact inferred on new iteration is derived?

a) Old fact

b) Narrow fact

c) New fact

d) All of the mentioned

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