1. SHOBHIT UNIVERSITY
A
SEMINAR REPORT ON
ARTIFICIAL INTELLIGENCE
PRESENTED BY:
Kumar Gaurav
B.Tech 3rd Year(CS)

2. CONTENTS
• INTRODUCTION
• PROBLEMS DEDUCTED THROUGH A.I.
•APPROACHES
•TOOLS
•ADVANTAGES
•DISADVANTAGE
•APPLICATION
•REFERENCES

3. INTRODUCTION
Artificial intelligence (AI) is the
intelligence of machines and the
branch of computer science that
aims to create it. AI textbooks
define the field as "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.

4. PROBLEM DEDUCTED THROUGH A.I.
•DEDUCTION, REASONING, PROBLEM SOLVING.
•MOTION AND MANIPULATION
•NATURAL LANGUAGE PROCESSING
•SOCIAL INTELLIGENCE

5. APPROACHES
•CYBERNETICS AND BRAIN SIMULATION
•SYMBOLIC
When access to digital computers became
possible in the middle 1950s, AI research
began to explore the possibility that human
intelligence could be reduced to symbol
manipulation.

6. TOOLS
•SEARCH AND OPTIMIZATION
Many problems in AI can be solved in theory
by intelligently searching through many
possible solutions. Planning algorithms
search through trees of goals and subgoals,
attempting to find a path to a target goal, a
process called means-ends analysis.

7. LOGIC
Logic is used for knowledge representation and
problem solving, but it can be applied to other
problems as well. AI researchers have devised a
number of powerful tools to solve these problems
using methods from probability theory and
economics.

8. •CONTROL THEORY
Control theory, the grandchild of cybernetics, has
many important applications, especially in robotics.
•LANGUAGES
AI researchers have developed several specialized
languages for AI research, including Lisp and Prolog.

9. ADVANTAGES
• Artificial intelligence would not need any sleep.
• Unemotional consideration of problems.
• Easier copying.

10. DISADVANTAGE
• Limited Sensory input.
• An artificial mind is limited capable to talk.

11. APPLICATIONS
• Gesture recognition
• Individual voice recognition
• Global voice recognition
• Facial expression recognition for interpretation of
emotion and non verbal queues.
• Robot navigation.

12. REFERENCES
• Luger, George; Stubblefield, William (2004). Artificial
Intelligence: Structures and Strategies for Complex
Problem Solving (5th ed.). The Benjamin/Cummings
Publishing Company, Inc..
• Nilsson, Nils (1998). Artificial Intelligence: A New
Synthesis. Morgan Kaufmann Publishers.
• Russell, Stuart J.; Norvig, Peter (2003), Artificial
Intelligence: A Modern Approach (2nd ed.), Upper
Saddle River, New Jersey: Prentice Hall,

13. THANK YOU