1. Artificial Intelligence

2. Intelligent?

3. What is intelligence? • computational part of the ability to achieve goals in the world

4. somewhere, something went wrong

5. What is AI? • Computational models of human behavior? • Computational models of human “thought” process? • Computational systems that behave intelligently? • Computational systems that behave rationally !

6. Rationality: • Perceiving the world around it, • a rational agent selects an action • to maximize the performance measure • Using • Evidence provided in perception sensors • Built in knowledge of the agent

7. Applications of AI • Video games, Robocup, NERO • Theorem proving • Speech recognition • Understanding natural language (stories) • Machine translation (English-Russian) • Robotics (Computer vision)

8. Machine translation • The spirit is willing but the flesh is weak

9. English – Russian - English • The spirit is willing but the flesh is weak • The vodka is strong but the meat is rotten

10. AI applications (contd.) • Driving autonomous vehicles • Tactical guidance system for military aircraft • Satellite meta command system • Automatic operation of trains • Robots for micro-surgery

11. AI in electrical gadgets • Navigation system for automatic cars • Cruise control for automobiles • Single button control of washing machines • Camera autofocus • Back light control for camcorders • Auto motor control of vacuum cleaners • Camera aiming for sporting events

12. Decision support systems • Medical reasoning systems • Planning rocket launching, large assemblies • Intelligent tutoring systems • Fault diagnosis in power plants • Direct marketing • Fraud detection for finance • Stock market predictions

13. AI pioneers • Alan Turing(1912-1954) • Father of computer science • Turing test for AI • Marvin Minsky (MIT) • Built first Neural network computer SNARC • John McCarthy ( Stanford University ) • Developed LISP, AI programming language

14. http://nerogame.org/

15. General issues and applications of AI , • Problem solving, • Search strategies, • Intelligent searching

16. Course contents • , Knowledge Representation, • First order predicate logic, , • Frames • Conceptual dependency

17. Game playing • Problem solving using Planning,

18. Uncertainty handling, • Fuzzy Logic based inferencing, • Machine learning – introduction to neural networks and genetic algorithms, • Expert Systems, • Natural Language Processing

19. Reference books: • Artificial Intelligence – A modern approach, S. Russell and P.Norvig, Pearson Education. • Artificial Intelligence, Elaine Rich and K Knight, Tata McGraw Hill, reprint 2003

20. Evaluation: • Minor I 20% Minor II 20% Quiz tests and Major test:    40% Assignments:                         20%