Artificial Intelligence MCQ for Bihar STET with Answers, PYQs & Notes

Tests in this unit

• Mock TestThe 30-question Unit 13 mock paper from the notes, in book order.30 Q
• PYQ OnlyQuestions asked in the 2023 and 2025 STET papers, with corrected keys.28 Q
• Practice BankTopic-wise questions: search, heuristics, knowledge representation, logic, fuzzy/Bayesian reasoning, planning and expert systems.53 Q
• Full TestPYQs and the practice bank together.81 Q
• Quick Test30 questions picked at random.30 Q

Unit 13 syllabus: Artificial Intelligence

1. Introduction to AI and production systems: problem formulation, problem definition, production systems, control strategies, search strategies, problem characteristics, production system characteristics, specialized production systems; problem solving methods: problem graphs, matching, indexing and heuristic functions; hill climbing, depth first and breadth first search; constraint satisfaction and related algorithms; measure of performance and analysis of search algorithms.
2. Representation of knowledge: game playing, knowledge representation using predicate logic, introduction to predicate calculus, resolution, use of predicate calculus, knowledge representation using other logic, structured representation of knowledge.
3. Knowledge inference: production based system, frame based system; inference: backward chaining, forward chaining, rule value approach; fuzzy reasoning, certainty factors, Bayesian theory, Bayesian network, Dempster-Shafer theory.
4. Planning and machine learning: basic plan generation systems (STRIPS), advanced plan generation systems (K-STRIPS), strategic explanations (why, why not and how explanations); machine learning, adaptive learning.
5. Expert systems: architecture and roles of expert systems, knowledge acquisition, meta knowledge, heuristics; typical expert systems: MYCIN, DART, XCON; expert system shells.