AKTU Artificial Intelligence (KCS071) Question Paper 2024-25

Note: Attempt all Sections. In case of any missing data; choose suitably.

Section A

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

1. Define artificial intelligence.
2. Name two most common AI problems.
3. Explain problem solving methods..
4. Recall local search.
5. Explain forward chaining in inference systems.
6. What is ontological engineering?
7. Explain the main components of an architecture for intelligent agents.
8. Evaluate the purpose of negotiation and bargaining in multi-agent systems.
9. Name two applications on AI.
10. Distinguish Information Retrieval from Information Extraction.

Section B

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

1. Discuss the impact of quantum computing on the future development and capabilities of intelligent agents in AI.
2. How do heuristics contribute to the problem-solving process in AI, and what are some common heuristic techniques used in search algorithms?
3. Examine the concept of unification in prolog and its significance for language inference mechanism.
4. Appraise the reputation management in multi-agent systems, and its importance.
5. Illustrate some real-world applications of artificial intelligence, and the impact on different industries.

Section C

Q3

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

1. Illustrate the differences between reactive and proactive intelligent agents including applications.
2. Examine the ways the future of Artificial Intelligence can address the current limitations in natural language processing and understanding.

Q4

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

1. Discuss the primary problem-solving methods of artificial intelligence, and how do they differ from traditional computational approaches?
2. Examine the working of backtracking search in solving CSPs, along with key advantages and limitations.

Q5

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

1. Evaluate First Order Predicate Logic (FOPL), and its difference from propositional logic in terms of expressiveness and complexity.
2. How do reasoning systems handle mental events, mental objects, and what are the implications for AI applications?

Q6

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

1. Explain the role of negotiation and bargaining in multi-agent systems, and how do agents reach agreements?
2. Examine the challenges in establishing trust among agents in a multi- agent system.

Q7

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

1. Discuss the steps involved in speech recognition and its importance in human-computer interaction.
2. Explain the concept of information extraction and its significance in processing unstructured data.

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