Introduction of Artificial Intelligence 3171105 Syllabus Download

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Content

Total Weightage

Introduction to AI:

Introduction of Artificial Intelligence, Historical backdrop, AI Problems, AI
technique, production systems, problem characteristics, production systems
characteristics.

Problem Solving:

Problem Solving by Searching, State-space Search techniques: Breadth first search,
depth first search and Iterative deepening DFS. Heuristic search Techniques: Hill
Climbing, Best-first search, Problem reduction, Constraint satisfaction.

Finding Optimal Paths:

Brute Force, Branch & bound, Algorithm A*, Admissibility of A*, Iterative
Deepening A*, Recursive best first search

Planning:

Component of a Planning system, Forward state space planning, Backward state
space planning, Goal stack planning, Plan space Planning, Hierarchical planning

Game Tree search:

Minimax, Alpha-beta, Heuristics in game tree search

Natural Language Understanding

Overview mechanical translation, Grammars, Parsing techniques, Text generation,
Natural language processing systems