Artificial intelligence in cyber defense
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Artificial intelligence in cyber defense

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Three topics in it agent,neural network

Three topics in it agent,neural network

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Artificial intelligence in cyber defense Artificial intelligence in cyber defense Presentation Transcript

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