AKTU Artificial Intelligence (KCS071) Question Paper 2023-24

Note: Attempt all Sections. If require any missing data; then choose suitably.

Section A

Q1. Attempt all questions in brief · 2 × 10 = 20 marks

1. Explain the historical background and evolution of Artificial Intelligence.
2. Provide a concise definition of Artificial Intelligence and its main objectives.
3. What challenges arise when dealing with partial observations in search problems?
4. Define Constraint Satisfaction Problems
5. What is unification in the context of logic programming?
6. Describe the process of resolution in logic programming.
7. What are the key characteristics that define an intelligent agent in a multi- 2 agent system?
8. Explain the importance of communication among intelligent agents in a multi- 2 agent system.
9. Provide examples of real-world applications where information extraction is essential.
10. Discuss the challenges associated with information retrieval in large and unstructured datasets.

Section B

Q2. Attempt any three of the following · 10 × 3 = 30 marks

1. Explain the role of sensors and effectors in the functioning of intelligent 10 agents.
2. Explain the basic principles of uninformed search strategies. Provide examples 10 of algorithms falling under this category.
3. Explain the concept of First Order Predicate Logic and how it is utilized in 10 Prolog programming.
4. How do intelligent agents perceive and act within their environment in the 10 context of multi-agent systems?
5. Explain the importance of pre-trained language models in various AI 10 applications.

Section C

Q3

Attempt any one part of the following · 10 × 1 = 10 marks

1. Discuss how AI systems approach problem-solving, considering search 10 algorithms and heuristics.
2. What ethical considerations should be taken into account in the development 10 and deployment of AI systems?

Q4

Attempt any one part of the following · 10 × 1 = 10 marks

1. Describe the concept of local search algorithms. Provide an example of an 10 optimization problem and explain how local search algorithms can be applied to solve it.
2. Define informed search and heuristics. How do heuristics contribute to 10 improving the efficiency of search algorithms?

Q5

Attempt any one part of the following · 10 × 1 = 10 marks

1. Compare and contrast forward chaining and backward chaining in the context 10 of rule-based reasoning systems. Provide examples to illustrate each
2. How is knowledge represented in ontological engineering, and what role does 10 ontological engineering play in building intelligent systems?

Q6

Attempt any one part of the following · 10 × 1 = 10 marks

1. What are the different communication paradigms used by intelligent agents, 10 and how do they facilitate collaboration?
2. What role does bargaining play in resolving conflicts and reaching agreements 10 among intelligent agents?

Q7

Attempt any one part of the following · 10 × 1 = 10 marks

1. What are language models, and how do they contribute to natural language 10 processing tasks?
2. How does information retrieval play a crucial role in enhancing search 10 engines and recommendation systems?

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