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R23 Pai Mid 1 Desc

This document outlines the Descriptive Test-I for the Principles of Artificial Intelligence course at Siddharth Institute of Engineering & Technology. It includes various questions covering topics such as foundations of AI, learning agents, search algorithms, knowledge representation, and agent types. The test is scheduled for December 7, 2024, and consists of multiple questions with equal marks.

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Bhukya Rajakumar
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© © All Rights Reserved
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0% found this document useful (0 votes)
41 views4 pages

R23 Pai Mid 1 Desc

This document outlines the Descriptive Test-I for the Principles of Artificial Intelligence course at Siddharth Institute of Engineering & Technology. It includes various questions covering topics such as foundations of AI, learning agents, search algorithms, knowledge representation, and agent types. The test is scheduled for December 7, 2024, and consists of multiple questions with equal marks.

Uploaded by

Bhukya Rajakumar
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOC, PDF, TXT or read online on Scribd
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SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583

(AUTONOMOUS)
Descriptive Test-I
Year & Sem: II B.Tech I-Semester Branch: CSM & CAD
Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM Max.Marks:30 M
Answer All the Questions
All Questions Carry Equal Marks
1 List and explain in detail the foundation of Artificial Intelligence. [L2][CO1] [10M]
OR
2 a) What are the four conceptual components of a learning agent, and how [L2][CO1] [5M]
do they contribute to the agent's ability to improve its performance in
unknown environments? Describe in detail.
b) Illustrate the list of sequence done by the intelligent agent to maximize [L3][CO1] [5M]
the performance measure.
3 What is searching? Explain the different types of search algorithms in AI. [L2][CO2] [10M]
OR
4 Explain Alpha-Beta Pruning algorithm in detail and apply it on the given [L3][CO2] [10M]
game tree illustrating the steps adapted to solve it.

5 Discuss in detail the key issues related to knowledge representation in AI [L2][CO3] [10M]
OR
6 a) Explain how logical connectives in propositional logic are represented? [L2][CO3] [5M]
b) Discuss predicate logic and how are they used? [L2][CO3] [5M]
Prepared by: Mr. B Raja Kumar, N Anitha

SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583


(AUTONOMOUS)
Descriptive Test-I
Year & Sem: II B.Tech I-Semester Branch: CSM & CAD
Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM Max.Marks:30 M
Answer All the Questions
All Questions Carry Equal Marks
1 List and explain in detail the foundation of Artificial Intelligence. [L2][CO1] [10M]
OR
2 a) What are the four conceptual components of a learning agent, and how [L2][CO1] [5M]
do they contribute to the agent's ability to improve its performance in
unknown environments? Describe in detail.
b) Illustrate the list of sequence done by the intelligent agent to maximize [L3][CO1] [5M]
the performance measure.
3 What is searching? Explain the different types of search algorithms in AI. [L2][CO2] [10M]
OR
4 Explain Alpha-Beta Pruning algorithm in detail and apply it on the given [L3][CO2] [10M]
game tree illustrating the steps adapted to solve it.

5 Discuss in detail the key issues related to knowledge representation in AI [L2][CO3] [10M]
OR
6 a) Explain how logical connectives in propositional logic are represented? [L2][CO3] [5M]
b) Discuss predicate logic and how are they used? [L2][CO3] [5M]
Prepared by: Mr. B Raja Kumar, N Anitha
SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583
(AUTONOMOUS)
Descriptive Test-I
Year & Sem: II B.Tech I-Semester Branch: CSM & CAD
Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM Max.Marks:30 M
Answer All the Questions
All Questions Carry Equal Marks
1 a) Illustrate any two applications of AI in real time. [L3][CO1] [5M]
b) Analyze in what ways can an agent's rational behavior be influenced by [L4][CO1] [5M]
its performance measure, prior knowledge, actions, and percept
sequence?
OR
2 a) State some definitions of artificial intelligence, and how can they be [L2][CO1] [5M]
categorized.
b) Discuss how artificial intelligence categorized based on different [L2][CO1] [5M]
approaches, and what do these categories entail?
3 a) Discuss how efficient the problem reduction search helps in problem- [L2][CO2] [5M]
solving technique of AI.
b) Explain in detail the Role of Adversarial Search and its algorithms in AI. [L2][CO2] [5M]
OR
4 Explain the A* Search Algorithm in Artificial Intelligence with an [L2][CO2] [10M]
example.
5 Describe Knowledge representation and it’s types in AI. Explain the kind [L4][CO3] [10M]
of knowledge which needs to be represented in AI systems.
OR
6 a) What is a frame in the context of knowledge representation? Explain how [L2][CO3] [5M]
do frames help in organizing knowledge?
b) Describe how Inheritance mechanism is used in knowledge [L2][CO3] [5M]
representation.
Prepared by: Mr. B Raja Kumar, N Anitha

SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583


(AUTONOMOUS)
Descriptive Test-I
Year & Sem: II B.Tech I-Semester Branch: CSM & CAD
Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM Max.Marks:30 M
Answer All the Questions
All Questions Carry Equal Marks
1 a) Illustrate any two applications of AI in real time. [L3][CO1] [5M]
b) Analyze in what ways can an agent's rational behavior be influenced by [L4][CO1] [5M]
its performance measure, prior knowledge, actions, and percept
sequence?
OR
2 a) State some definitions of artificial intelligence, and how can they be [L2][CO1] [5M]
categorized.
b) Discuss how artificial intelligence categorized based on different [L2][CO1] [5M]
approaches, and what do these categories entail?
3 a) Discuss how efficient the problem reduction search helps in problem- [L2][CO2] [5M]
solving technique of AI.
b) Explain in detail the Role of Adversarial Search and its algorithms in AI. [L2][CO2] [5M]
OR
4 Explain the A* Search Algorithm in Artificial Intelligence with an [L2][CO2] [10M]
example.
5 Describe Knowledge representation and it’s types in AI. Explain the kind [L4][CO3] [10M]
of knowledge which needs to be represented in AI systems.
OR
6 a) What is a frame in the context of knowledge representation? Explain how [L2][CO3] [5M]
do frames help in organizing knowledge?
b) Describe how Inheritance mechanism is used in knowledge [L2][CO3] [5M]
representation.
Prepared by: Mr. B Raja Kumar, N Anitha
SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583
(AUTONOMOUS)
Descriptive Test-I
Year & Sem: II B.Tech I-Semester Branch: CSM & CAD
Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM Max.Marks:30 M
Answer All the Questions
All Questions Carry Equal Marks
1 Analyze different types of agents, and explain how do they interact with their [L4][CO1] [10M]
environments?
OR
2 a) How do the properties of task environments influence the design and [L1][CO1] [5M]
performance of intelligent agents in various applications?
b) What is PEAS framework and what are its components? Discuss with [L2][CO1] [5M]
example.
3 What are Heuristic algorithms? Analyze in detail the different types of [L4][CO2] [10M]
Heuristic algorithms with example.
OR
4 Describe Mini-Max Algorithm in Artificial Intelligence. Solve the following [L3][CO2] [10M]
Game tree using Mini-Max Algorithm.

5 a) What is Knowledge? List and define the types of knowledge available. [L1][CO3] [5M]
b) Illustrate AI knowledge cycle with neat diagram. [L3][CO3] [5M]
OR
6 Describe the Techniques of knowledge representation with their advantages [L2][CO3] [10M]
and disadvantages.
Prepared by: Mr. B Raja Kumar, N Anitha

SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583


(AUTONOMOUS)
Descriptive Test-I
Year & Sem: II B.Tech I-Semester Branch: CSM & CAD
Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM Max.Marks:30 M
Answer All the Questions
All Questions Carry Equal Marks
1 Analyze different types of agents, and explain how do they interact with their [L4][CO1] [10M]
environments?
OR
2 a) How do the properties of task environments influence the design and [L1][CO1] [5M]
performance of intelligent agents in various applications?
b) What is PEAS framework and what are its components? Discuss with [L2][CO1] [5M]
example.
3 What are Heuristic algorithms? Analyze in detail the different types of [L4][CO2] [10M]
Heuristic algorithms with example.
OR
4 Describe Mini-Max Algorithm in Artificial Intelligence. Solve the following [L3][CO2] [10M]
Game tree using Mini-Max Algorithm.

5 a) What is Knowledge? List and define the types of knowledge available. [L1][CO3] [5M]
b) Illustrate AI knowledge cycle with neat diagram. [L3][CO3] [5M]
OR
6 Describe the Techniques of knowledge representation with their advantages [L2][CO3] [10M]
and disadvantages.
Prepared by: Mr. B Raja Kumar, N Anitha
SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583
(AUTONOMOUS)
Descriptive Test-I
Year & Sem: II B.Tech I-Semester Branch: CSM & CAD
Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM Max.Marks:30 M
Answer All the Questions
All Questions Carry Equal Marks
1 Explain the different types of agent programs and their internal structures [L2][CO1] [10M]
which influence the efficiency and autonomy of intelligent agents?
OR
2 a) Discuss the four components used to define a problem formally. [L2][CO1] [5M]
b) Illustrate with an example what is meant by formulating problems. [L3][CO1] [5M]
3 Describe the Hill Climbing Algorithm in Artificial Intelligence with its [L2][CO2] [10M]
State-space Diagram. Discuss its key features, advantages, and
limitations.
OR
4 Describe the AO* Algorithm in Artificial Intelligence. Analyze how [L4][CO2] [10M]
the AO algorithm* works for given AND-OR graph

5 Analyze the different approaches to knowledge representation. [L4][CO3] [10M]


OR
6 a) What is Constraint Propagation in AI? How Constraint Propagation [L2][CO3] [5M]
Works?
b) Compare the relation between knowledge and intelligence and list [L4][CO3] [5M]
requirements for knowledge Representation system
Prepared by: Mr. B Raja Kumar, N Anitha

SIDDHARTH INSTITUTE OF ENGINEERING &TECHNOLOGY: PUTTUR-517 583


(AUTONOMOUS)
Descriptive Test-I
Year & Sem: II B.Tech I-Semester Branch: CSM & CAD
Subject: PRINCIPLES OF ARTIFICIAL INTELLIGENCE (23CS0901)
Date & Time: 07-12-2024 & 09.30 AM to 11.00 AM Max.Marks:30 M
Answer All the Questions
All Questions Carry Equal Marks
1 Explain the different types of agent programs and their internal structures [L2][CO1] [10M]
which influence the efficiency and autonomy of intelligent agents?
OR
2 a) Discuss the four components used to define a problem formally. [L2][CO1] [5M]
b) Illustrate with an example what is meant by formulating problems. [L3][CO1] [5M]
3 Describe the Hill Climbing Algorithm in Artificial Intelligence with its [L2][CO2] [10M]
State-space Diagram. Discuss its key features, advantages, and
limitations.
OR
4 Describe the AO* Algorithm in Artificial Intelligence. Analyze how [L4][CO2] [10M]
the AO algorithm* works for given AND-OR graph

5 Analyze the different approaches to knowledge representation. [L4][CO3] [10M]


OR
6 a) What is Constraint Propagation in AI? How Constraint Propagation [L2][CO3] [5M]
Works?
b) Compare the relation between knowledge and intelligence and list [L4][CO3] [5M]
requirements for knowledge Representation system
Prepared by: Mr. B Raja Kumar, N Anitha

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