Artificial Intelligence Unit 3 – Knowledge Representation: important questions for AKTU
Unit 3 (Knowledge Representation) questions that AKTU repeats most often. This unit carries about 32 marks per paper. Start with the repeated questions, then the most asked topics.
Most repeated Unit 3 questions
- Explain the role of events, mental events, and mental objects in intelligent agents' reasoning. (7 marks, 2026, Ontological Engineering) – also asked in 2023, 2024
- Discuss challenges and considerations in modeling dynamic processes and events within ontological frameworks (10 marks, 2024, Ontological Engineering) – also asked in 2023, 2026
- Explore recent advances or extensions to FOPL that address these challenges and enhance its usability. (10 marks, 2024, First Order Predicate Logic) – also asked in 2023, 2025
Most important Unit 3 topic
- Inference Techniques (Unit 3: Knowledge Representation) – asked 5 times in 2023, 2026
Most asked Unit 3 topics
- First Order Predicate Logic – asked 5 times
- Inference Techniques – asked 5 times
- Ontological Engineering – asked 4 times
More Unit 3 previous year questions
- Define unification in Prolog. (2 marks, 2026, Prolog Programming)
- Demonstrate resolution principle by proving a simple theorem in propositional logic. (7 marks, 2026, Inference Techniques)
- Create a forward chaining example in a rule-based system to determine eligibility for a scholarship. (7 marks, 2026, Inference Techniques)
- What is First Order Predicate Logic (FOPL)? (2 marks, 2025, First Order Predicate Logic)
- Discuss different types of knowledge representation techniques in AI. (7 marks, 2025, Knowledge Representation)
Unit 3 syllabus topics
- First Order Predicate Logic
- Prolog Programming
- Inference Techniques
- Knowledge Representation
- Ontological Engineering
- Reasoning Systems