AI

Artificial Intelligence

Unit 1

1 Class - Introduction to AI

2 Class - Advantages and Disadvantages of AI

3 Class - Applications and History of AI

4 Class - Types of AI

5 Class - Types of Agents

6 Class - Agents and Rationality

7 Class - PEAS representation model of an AI Agent

8 Class - Turing Test

AI 1st UNIT - lecture notes (pdf)

AI 1st UNIT - lecture notes (word)

Unit 2

9 Class - Search Algorithms in Artificial Intelligence

10 Class - BFS and DFS

11 Class -Depth Limited Search And Uniform Cost Search

12 Class -Depth Limited Search And Uniform Cost Search

13 Class -Best First Search (Greedy Method) - Informed Search Algorithms

A* Algorithm

Hill Climbing Algorithm

Simulated Annealing

Online Search Algoritms

AI 2nd Unit Lecture Notes (pdf)

AI 2nd Unit Lecture Notes (word)

Unit 4

28 Class - NLP - Phrase Structure Grammars And Syntactic Analysis

29 Class - NLP - Augmented Grammars And Semantic Analysis

30 Class - NLP - Machine Translation

31 Class - NLP - Speech Recognition

Artificial Intelligence Lab Programs

 AI Lab Programs

Examples

1. Depth First Search Example

2. Breadth First Search Example