15CS562 Artificial Intelligence syllabus for CS

What is artificial intelligence?, Problems, Problem Spaces and search, Heuristic search technique

TextBook1: Ch 1, 2 and 3

Knowledge Representation Issues, Using Predicate Logic, Representing knowledge using Rules,

TextBoook1: Ch 4, 5 and 6.

Symbolic Reasoning under Uncertainty, Statistical reasoning, Weak Slot and Filter Structures.

TextBoook1: Ch 7, 8 and 9.

Strong slot-and-filler structures, Game Playing.

TextBoook1: Ch 10 and 12

Natural Language Processing, Learning, Expert Systems.

TextBook1: Ch 15,17 and 20

Course outcomes:

The students should be able to:

• Identify the AI based problems
• Apply techniques to solve the AI problems
• Define learning and explain various learning techniques
• Discuss on expert systems

Question paper pattern:

• The question paper will have TEN questions.
• There will be TWO questions from each module.
• Each question will have questions covering all the topics under a module.
• The students will have to answer FIVE full questions, selecting ONE full question from each module.

Text Books:

1. E. Rich , K. Knight & S. B. Nair - Artificial Intelligence, 3/e, McGraw Hill.

Reference Books:

1. Artificial Intelligence: A Modern Approach, Stuart Rusell, Peter Norving, Pearson Education 2nd Edition.

2. Dan W. Patterson, Introduction to Artificial Intelligence and Expert Systems – Prentice Hal of India.

3. G. Luger, “Artificial Intelligence: Structures and Strategies for complex problem Solving”, Fourth Edition, Pearson Education, 2002.

4. Artificial Intelligence and Expert Systems Development by D W Rolston-Mc Graw hill.

5. N.P. Padhy “Artificial Intelligence and Intelligent Systems” , Oxford University Press-2015