This document outlines the assessment scheme, learning outcomes, and content for a module on the Introduction to Artificial Intelligence. It includes: - The assessment scheme which is 80% theory and 20% practical, with a 40% continuous assessment and 60% end term examination. The continuous assessment includes components like class tests, assignments, and presentations. - The learning outcomes which are for students to understand AI, its applications, and analyze problems to identify computing solutions. - An introduction to AI, its definitions, applications in games, vision, robotics, and other fields. It also discusses different philosophies of AI like thinking humanly versus rationally. - Examples of AI in puzzles, games and how

1. B. Tech. (CSE), 6th Semester
Artificial Intelligence CSE401
Module 1
Scope of AI & Problem Solving
Topic: Introduction to AI and Gaming
Amity School of Engineering and Technology
Dr. Nidhi Mishra, Assistant Professor
Department of CSE, ASET

2. Assessment/ Examination Scheme
Theory L/T (%) Lab/Practical/Studio (%)
80% 20%
Continuous Assessment/Internal Assessment
(40%)
End Term
Examination
(60 %)
Components
(Drop down)
Attendance
Class Test
Assignment
Viva/Case
Study/
Minor
Project Quiz
Group presentation
Linkage of PSDA
with Internal
Assessment
Component, if any
3 10 3
Weightage (%) 5 15 4 60

3. Assessment/ Examination Scheme
Continuous Assessment/Internal
Assessment
End Term
Examination
(40 %)
(60
%)
Components (Drop
down Lab record Performance Viva Attendance Practical Viva Total
Performa
nce
Weightage (%) 10 15 10 5 30 30 60

4. LEARNING OUTCOMES
• Students will be able to know about artificial intelligence
• Students will be able to understand various applications of artificial intelligence
• Students will analyze a problem, identify and define the computing requirements
appropriate to its solution

5. Intelligence
“Intelligence: The ability to learn and solve problems”
Webster’s Dictionary.
Artificial Intelligence
“Artificial intelligence (AI) is the intelligence exhibited by
machines or software”
Wikipedia.
“The study and design of intelligent agents, where an
intelligent agent is a system that perceives its environment
and takes actions that maximize its chances of success.”
Russel and Norvig AI book.
Definitions

6. Introduction to Artificial Intelligence
Applications
 Games
 Vision and speech processing
 Robotics
 Expert systems
 Natural language processing
 Theorem proving
Module 1

7. Motivation
Examples of each of these
fields?
Ans:
Tic-Tac-Toe,
Remote Surgery,
E-Learning and many more

8. Think Humanly:
“The exciting new effort to make computers think... machines with minds, in the full
and literal sense.”
(Haugeland, 1985)
Determine the human thinking process.
Think Rationally:
“The study of mental faculties through the use of computational models.”
(Charniak and McDermott, 1985)
Codification of human thinking using “Notation and rules” [Expert Systems]
Act Humanly:
“The study of how to make computers do things which, at the moment, people are better.”
(Rich and Knight, 1991)
To be able to do what human can do, without worrying much about the process (Result
oriented [Turing Test]).
Act Rationally:
“Computational Intelligence is the study of the design of intelligent agents.”
To get the best output by acting rationally.
(Poole et al., 1998)
Philosophy of AI

9. 9
Human vs AI Applications

10. 10
Human vs AI Applications

11.  Identify this famous activity.
Ans: Turing Test
 To which AI philosophy, you
can relate turing test?
a. Think Humanly
b. Think Rationally
c. Act Humanly
d. Act Rationally
Ans: c, (Why?)

12. 12
“Socrates is a man; all men are mortal; therefore, Socrates
is mortal.”
This statement belongs to which AI Philosophy?
a. Think Humanly
b. Think Rationally
c. Act Humanly
d. Act Rationally
Ans: b, (Why?)

13. Self driving cars involve following disciplines:
a. Image Processing
b. Image Classification
c. Audio Signal processing
d. Path Planning
e. All of the above
13
Ans: e (Give examples)

14. 14
8-Tile Puzzle: An example

15. 1. How to search for the
goal state?
2. Do you think, AI is
being used?
1. DFS, BFS
2. No, Why?
8-Tile Puzzle

16. 1. AI involved here?
Ans. Yes, Heuristic function used.
2. Which method it seems to
be?
Ans: Greedy, specifically Hill
climbing.
8-Tile Puzzle
1 2 3
8 4
7 6 5

17. Tic-Toc-Toe: Naïve approach
How games are different
from puzzles?
Ans: Adversarial Nature
of the search space
How AI can help searching in adversarial search space?
 Next Lecture: Min-Max Search.

18. 18
Image Processing To Computer Vision
Computer Vision
Image processing to computer vision progression
can be broken up into low-, mid- and high-level
processes
Low Level Process
Input: Image
Output: Image
Examples: Noise
removal, image sharpening
Mid Level Process
Input: Image
Output: Attributes
Examples: Object
recognition, segmentation
High Level Process
Input: Attributes Output:
Understanding
Examples: Scene
understanding,
autonomous navigation

20. 20
Computer Vision

21. 21
Current State of the Art

22. 22
Optical character recognition (OCR)
Digit recognition, AT&T labs
http://www.research.att.com/~yann/
Technology to convert scanned docs to text
• If you have a scanner, it probably came with OCR software
License plate readers
http://en.wikipedia.org/wiki/Automatic_number_plate_recognition

23. 23
Login without a password…
Fingerprint scanners on
many new laptops,
other devices
Face recognition systems now
beginning to appear more widely
http://www.sensiblevision.com/

24. 24
Object Recognition

25. Smart Cars

26. QUIZ

27. 27

28. 28

29. 29

30. 30

31. Thank You
31