6CS6.2 ARTIFICIAL INTELLIGENCE (Comp. Engg.) |
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| Units | Contents of the subjects |
| Meaning and definition of artificial intelligence, Various types of production
systems, Characteristics of production systems, Study and comparison of breadth first search and depth first search. Techniques, other Search Techniques like hill Climbing, Best first Search. A* algorithm, AO* algorithms etc, and various types of control strategies. |
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| Knowledge Representation, Problems in representing knowledge, knowledge representation using propositional and predicate logic, comparison of propositional and predicate logic, Resolution, refutation, deduction, theorem proving, inferencing, monotonic and nonmonotonic reasoning. | |
| Probabilistic reasoning, Baye's theorem, semantic networks scripts schemas,
frames, conceptual dependency and fuzzy logic, forward and backward reasoning. |
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| Game playing techniques like minimax procedure, alpha-beta cut-offs etc,
planning, Study of the block world problem in robotics, Introduction to understanding and natural languages processing. |
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| Introduction to learning, Various techniques used in learning, introduction to neural networks, applications of neural networks, common sense, reasoning, some example of expert systems. | |
Text/References:
1. Artificial Intelligence: Elaine Rich, Kevin Knight, Mc-Graw Hill.
2. Introduction to AI & Expert System: Dan W. Patterson, PHI.
3. Artificial Intelligence by Luger (Pearson Education)
4. Russel & Norvig, Artificial Intelligence: A Modern Approach, Prentice-Hall