Intelligent and Expert Systems

Course Objectives :

1. To study the idea of intelligent agents and search methods.
2. To study about representing knowledge.
3. To study the reasoning and decision making in uncertain world.
4. To study the concepts of expert systems.

Course Outcomes (CO):

• CO 1 Able to understand the idea of intelligent agents and search methods.
• CO 2 Able to represent knowledge using various knowledge representation techniques.
• CO 3 Able to apply reasoning for decision making in uncertain world.
• CO 4 Able to understand the concepts of expert systems and implement expert systems.

UNIT-I

Introduction to AI: Intelligent agents – Perception – Natural language processing – Problem – Solving agents – Searching for solutions: Uniformed search strategies – Informed search strategies.

UNIT-II

Knowledge and Reasoning: Adversarial search – Optimal and imperfect decisions – Alpha, Beta pruning – Logical agents: Propositional logic – First order logic – Syntax and semantics – Using first order logic – Inference in first order logic.

UNIT-III

Uncertain Knowledge and Reasoning: Uncertainty – Acting under uncertainty – Basic probability notation – Axioms of probability – Baye’s rule – Probabilistic reasoning – Making simple decisions.

Learning: Learning decision trees – Knowledge in learning – Neural networks – Reinforcement learning – Passive and active.

UNIT-IV

Expert Systems: Definition – Features of an expert system – Organization – Characteristics – Prospector – Knowledge Representation in expert systems – Expert system tools – MYCIN – EMYCIN.

Textbooks:

1. Stuart Russel and Peter Norvig, ‘Artificial Intelligence A Modern Approach’, 2nd Edition, Pearson, 2003.
2. Donald A.Waterman, ‘A Guide to Expert Systems’, Pearson Education.

References:

1. George F.Luger, ‘Artificial Intelligence – Structures and Strategies for Complex Problem Solving’, 4th Ed, Pearson Education, 2002.
2. Elain Rich and Kevin Knight, ‘Artificial Intelligence’, Second Edition Tata McGraw Hill, 1995.
3. Rich and Knight, “Artificial Intelligence”, Tata McGraw Hill, 1992