THEORY EXAMINATION (SEM–VIII) 2016-17 ARTIFICIAL INTELLIGENCE

Section A 

Section A contains short and basic questions that test fundamental concepts of Artificial Intelligence. Students need to write brief definitions, short explanations, and basic concepts related to AI, intelligent agents, machine learning, and logic. These questions check basic theoretical understanding of AI topics.

Example Questions from Section A:

What is Artificial Intelligence?

What is the Turing Test?

What is Pattern Recognition?

Explain Agent Program.

Discuss Supervised and Unsupervised Learning.

What is Modus Ponens Rule?

Section B 

Section B includes medium-length questions that require detailed explanations of AI techniques, algorithms, and reasoning methods. Students must describe search strategies, probabilistic reasoning, clustering algorithms, and knowledge representation methods. This section tests conceptual clarity and application knowledge.

Example Questions from Section B:

Explain Production System and its types.

Describe K-Means Clustering Algorithm.

Explain A* Search Technique.

Explain Naive Bayes Model and EM Algorithm.

Describe Bayesian Network for knowledge representation.

Section C 

Section C contains long and advanced questions that require detailed explanations, mathematical formulations, and logical reasoning. Students must solve complex problems related to pattern recognition, predicate logic, and advanced AI techniques. This section evaluates deep understanding and analytical skills.

Example Questions from Section C:

Explain PCA in Pattern Recognition.

Translate sentences into Predicate Logic.

Write notes on Support Vector Machine.

Explain Linear Discriminant Analysis.

Explain Game Search techniques.