2. What is production rule system? Explain with proper example.

3. Define informed search. Explain greedy best first search algorithm with proper example.

4. What is artificial neural network? Differentiate between feed forward and feedback networks.

5. Represent the following statements in propositions. If it rains, Joe brings his umbrella. If Joe has an umbrella, he does not get wet. If it does not rain, Joe doesn't get wet. Also prove that Joe does not get wet.

6. What is Bayes theorem? Consider in a city, it rained 50 days in a year and the prediction is that tomorrow it will rain. When the forecast is raining it is correct 90% of the time and when the forecast is not raining it is not correct 10% of the time. Use Bayes theorem to find the probability of raining tomorrow.

7. What is Natural language processing? Explain the steps involved in natural language processing.

8. Define Expert system. Explain about Dendral.

9. What is water jug problem? How production rule system can used to solve water jug problem? Explain.

10. What is forward and backward chaining? Translate the following sentence into first order predicate logic: i) Everyone's DNA is unique and is derived from their parents' DNA. ii) No dog bites a child of its owner. iii) Every gardener likes the sun. iv) All purple mushrooms are poisonous.

11. What are AI agents? Explain different types of environments of AI agents. Also write PEAS descriptions for: a. Automated teller machine b. Part picking robots c. Self-driving cars

2026 Pre-Board Question Set 1

2026 Pre-Board Question Set 1