1.
ARTIFICIAL INTELLIGENCE IN CYBER
DEFENSE
By –
Ujjwal Tripathi
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2.
TOPICS IN THIS SEMINAR
• INTRODUCTION TO AI
• APPLICATION OF AI
• SOME EXAMPLES
• EXPERT SYSTEM
• AGENTS
• NEURAL NETS
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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.
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4.
TURING TEST
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5.
FIELDS OF A.I.
• Expert System
• Robotics
• Natural language Processing
• Neural Network
• Intelligent Agents
• Search
• Knowledge Representation
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6.
Practical Application of AI
 ALVINN
 Deep Blue
 Machine translation
 Autonomous agents
 Speech Recognition
 Handwriting Recognition
 Optical Character Recognition
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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
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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
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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
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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
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11.
AGENTS
An agent is anything that can
perceive its environment through
sensors, and
act upon that environment through
actuators (or effectors)
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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.
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13.
Aibo from SONY
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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.
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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.
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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”.
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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.
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18.
THANK YOU
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