USN 22MCA262
Second Semester MCADegree (Autonomous)Semester End Examination 2023
Artificial Intelligence
(ModelQuestion Paper - I)
Time: 3Hours ] |Maximum Marks: 100
Instructions to students:
1. Answer FIVE FULL questions as per the choice.
2. Use black ball point pen only for text, figures, tables etc.
RBT
Q No. Questions Marks CO Cognitive
Level
Unit - 1
1, [10 Marks) CO1 LI,L2
What is Artificial Intcll1gence, and Explain Application arcas of Al,
L4
b) Discuss Importance of Artificial Intelligence and write brief History [10 Marks| C02
of AI
OR
2.
Discuss structure of a goal based reflex agent with help of a diagram [10Marks] Co1 L2
b) What is PEAS? 1llustrate the PEAS description for i) Taxi driver (ii) [10 Marks C02 L2
Medical diagnosis system(;i) cleani machie
Unit - 2
3.
What is knowledge representation? Explain forward and backward| |12 Marks] CO5 LI,L2
mapping with a neat diagram.
b) [08 Marks] C04 L2
Describe any four approaches and Issues of knowledge representation
OR
4.
a) Analyze planning and scheduling in artificial intelligence [10Marks] C02 LS
b) How you Evaluate knowledge ? draw knowledge-concept diagram [10 Marks] COS L6
and Explain influential, inheritable knowledge
Unit - 3
CO3 L1, L3
a) Discuss Symbolic reasoning, statistical reasoning, and logical [10 Marks]
reasoning in AI
[05 Marks| CO3 L5
b) Analyze Uncertainty in Alwith example
c) Explain weak slot and filler structure [05 Marks] C02 L2
OR
6
a) Discuss strong slot and filler structure with example |10 Marks] CO3 L2
[10 Marks| COS L1, L2
b) Demonstrate game playing with example
Unit - 4
7 a
|10 Marks) C02 L3, L2
State and prove Bayes Theorem with example
b) Explain Temporal Reasoning and draw a simple Bayesian belief CO3 L3
network |10 Marks]
OR
CO4 L2
8 a)Explain Ontologies in artificial intelligence with example |10 Marks]
, b) Discuss fuzzy inference with block diagram [10 Marks] CO3
13
Unit - 5
Distinguish between Goal Stack Planning and Hierarchical planning CO2 L3
in Natural Language Processing [10 Marks]
Explain Expert Systems, and Rules for Knowledge in Language Co2
[10 Marks )
understanding
OR
10
Discuss Basic Parsing techniques, and Expert System Architecture [10 Marks]) Co2 L3
b Distinguish between Syntax Analysis and Semantic Analysis in CO3 L3
Natural Language Processing [10 Marks]
Second Semester MCADegree (Autonomous)Semester End Examination 2023
Artificial Intelligence
(ModelQuestion Paper - I)
Time: 3Hours ] |Maximum Marks: 100
Instructions to students:
1. Answer FIVE FULL questions as per the choice.
2. Use black ball point pen only for text, figures, tables etc.
RBT
Q No. Questions Marks CO Cognitive
Level
Unit - 1
1, [10 Marks) CO1 LI,L2
What is Artificial Intcll1gence, and Explain Application arcas of Al,
L4
b) Discuss Importance of Artificial Intelligence and write brief History [10 Marks| C02
of AI
OR
2.
Discuss structure of a goal based reflex agent with help of a diagram [10Marks] Co1 L2
b) What is PEAS? 1llustrate the PEAS description for i) Taxi driver (ii) [10 Marks C02 L2
Medical diagnosis system(;i) cleani machie
Unit - 2
3.
What is knowledge representation? Explain forward and backward| |12 Marks] CO5 LI,L2
mapping with a neat diagram.
b) [08 Marks] C04 L2
Describe any four approaches and Issues of knowledge representation
OR
4.
a) Analyze planning and scheduling in artificial intelligence [10Marks] C02 LS
b) How you Evaluate knowledge ? draw knowledge-concept diagram [10 Marks] COS L6
and Explain influential, inheritable knowledge
Unit - 3
CO3 L1, L3
a) Discuss Symbolic reasoning, statistical reasoning, and logical [10 Marks]
reasoning in AI
[05 Marks| CO3 L5
b) Analyze Uncertainty in Alwith example
c) Explain weak slot and filler structure [05 Marks] C02 L2
OR
6
a) Discuss strong slot and filler structure with example |10 Marks] CO3 L2
[10 Marks| COS L1, L2
b) Demonstrate game playing with example
Unit - 4
7 a
|10 Marks) C02 L3, L2
State and prove Bayes Theorem with example
b) Explain Temporal Reasoning and draw a simple Bayesian belief CO3 L3
network |10 Marks]
OR
CO4 L2
8 a)Explain Ontologies in artificial intelligence with example |10 Marks]
, b) Discuss fuzzy inference with block diagram [10 Marks] CO3
13
Unit - 5
Distinguish between Goal Stack Planning and Hierarchical planning CO2 L3
in Natural Language Processing [10 Marks]
Explain Expert Systems, and Rules for Knowledge in Language Co2
[10 Marks )
understanding
OR
10
Discuss Basic Parsing techniques, and Expert System Architecture [10 Marks]) Co2 L3
b Distinguish between Syntax Analysis and Semantic Analysis in CO3 L3
Natural Language Processing [10 Marks]
