B.E. IV YEAR (4YDC) COMPUTER ENGINEERING

CO 4401: ARTIFICIAL INTELLIGENCE

Theory :

1. Definition and Terminologies, Silicon Model, Biomodel, Cognitive Model, Introduction to logic, Problems, Problem Spaces, and Search, Production Systems, Problem Characteristics.

2. Search techniques: Best first, Depth-first, Generate and Test, Hill Climbing, Best first Search, Problem Reduction, AND/OR graphs, Constraints Satisfaction.

3. Knowledge Representation and Mappings, Knowledge Representation issues. Predicate Logic, Resolution, Representing Knowledge using Rules, Reasoning under Uncertainty, Nonmonotonic Reasoning, Statistical Reasoning, Probability, Bayesian logic, Certainty factors, Dempster Shafer reasoning, Semantic Nets, Frames, Conceptual dependency, Scripts.

4. Introduction to: Game Playing, Planning, Understanding, Natural Language Processing, Learning, Common Sense, Perception, Lisp, Prolog, and Expert System.

5. Basic Concepts of: Neural networks, Fuzzy Logic, Genetic Algorithm.

Text Books

1. Rich E., “Artificial Intelligence”, McGraw-Hill International, 1991.2. Neil C. Rowe, “AI Through Prolog”, Prentice Hall, 1988.

Reference Books

1. Chanaik E. & D.Mc Dermott, “Introduction to AI”, Addison-Wesley, 1985.2. Schalkoff, “Artificial Intellegence: An Engineers Appraoch”, McGraw-Hill,

1992.3. Keith Weiskamp & Terry Hengl, “AI Programming with Turbo Prolog”, John

Wiley & Sons, 1998.