Three topics in it agent,neural network

1. ARTIFICIAL INTELLIGENCE IN CYBER
DEFENSE
By –
Ujjwal Tripathi
Page 1

2. TOPICS IN THIS SEMINAR
• INTRODUCTION TO AI
• APPLICATION OF AI
• SOME EXAMPLES
• EXPERT SYSTEM
• AGENTS
• NEURAL NETS
Page 2

3. WHAT IS AI ?
Artificial intelligence is a
branch of computer
science which aims at
building machines that
can think, feel and take
decisions just like
humans.
Page 3

4. TURING TEST
Page 4

5. FIELDS OF A.I.
• Expert System
• Robotics
• Natural language Processing
• Neural Network
• Intelligent Agents
• Search
• Knowledge Representation
Page 5

6. Practical Application of AI
 ALVINN
 Deep Blue
 Machine translation
 Autonomous agents
 Speech Recognition
 Handwriting Recognition
 Optical Character Recognition
Page 6

7. EXPERT SYSTEM
 An expert system is a computer
program designed to act as an
expert in a particular domain
also known as knowledge based
system.
 Provide portable knowledge
Page 7

8. Architecture of Expert
System
• Knowledge base
– Stores all relevant information, data, rules,
cases, and relationships used by the expert
system
• Inference engine
– Seeks information and relationships from
the knowledge base and provides answers,
predictions, and suggestions in the way a
human expert would do.
• Rule
– A conditional statement that links given
conditions to actions or outcomes
Page 8

9. Architecture of Expert System
• Backward chaining
– A method of reasoning that starts with
conclusions and works backward to the
supporting facts
• Forward chaining
– A method of reasoning that starts with the
facts and works forward to the conclusions
Page 9

10. Applications of Expert Systems
and Artificial Intelligence
• Credit granting
• Information management and
retrieval
• Plant layout
• Hospitals and medical facilities
• Help desks and assistance
• Employee performance evaluation
• Virus detection
• Repair and maintenance
• Shipping
• Marketing
Page 10

11. AGENTS
An agent is anything that can
perceive its environment through
sensors, and
act upon that environment through
actuators (or effectors)
Page 11

12. EXAMPLES OF AGENTS
• Humans can be looked upon as agents.
They have eyes, ears, skin, taste buds,
etc. for sensors; and hands, fingers, legs,
mouth for effectors.
• Robots are agents. Robots may have
camera, sonar, infrared, bumper, etc. for
sensors. They can have grippers, wheels,
lights, speakers, etc. for actuators.
Page 12

13. Aibo from SONY
Page 13

14. INTELLEGENT AGENTS
• An intelligent agent is a
program that runs in the
background and learns your
patterns, like any other agent
working for you.
Page 14

15. NEURAL NETWORKS
• The term neural network was
traditionally used to refer to a
network or circuit of biological
neurons. The modern usage of
the term often refers to artificial
neural networks.
Page 15

16. NEUARAL NETWORKS (CONTD.)
• A neural net is an artificial
representation of the human
brain that tries to simulate its
learning process. An artificial
neural n/w is often called a
“Neural Network”.
Page 16

17. TYPES OF NEURAL N/W
• Biological neural networks are
made up of real biological neurons
that are connected or functionally
related in a nervous system.
• Artificial neural networks are
composed of interconnecting
artificial neurons that uses a
mathematical model or
computation model.
Page 17

18. THANK YOU
Page 18