• Attempt any five questions.
• All questions carry equal marks.
What is production system? Explain it with an example. Discuss the characteristics of a production system.
Give an example of a problem for which breadth first search would work better than depth first search.
Discuss various approaches and issues in knowledge representation. Also discuss various problems in representing knowledge.
Consider the given statements and use predicate logic to express them formally (Marcus and Caesar problem).
Design a simple knowledge base using semantic networks for a weather prediction system.
Define Baye's theorem. What are the applications of Bayes theorem?
What is the Block World problem in AI planning? Explain with an example.
Develop a simple AI-based chatbot using rule-based NLP.
Describe the architecture and working of an expert system.
Design a rule-based expert system for diagnosing diseases.
What is the motivation and need of AI in modern technology?
How a problem is formally defined? List down the components of it?
Show how forward and backward reasoning are used in expert systems.
Describe the Alpha-Beta pruning technique and its advantage.
Write short notes on (any two): a) Minimax algorithm b) Frames and Scripts c) Heuristic search algorithm d) Components of NLP
