Name of Subject  : ARTIFICIAL INTELLIGENCE  (8 IT 4.3)

Unit

Contents

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

I

Techniques like hill Climbing, Best first Search. A* algorithm, AO* algorithms etc, and various types of control

strategies.

Knowledge Representation, Problems in representing knowledge, knowledge representation using propositional

II

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

III

fuzzy logic, forward and backward reasoning.

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.

IV

Introduction to learning, Various techniques used in learning, introduction to neural networks, applications of neural