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Lecture #0

Lecture #0. Artificial Intelligence INT404. CSE510, Lovely Professional University, Phagwara. 2. Course Overview. L T P : Text Book: “ARTIFICIAL INTELLIGENCE”, RICH, KNIGHT, Mc GRAW HILL , 3 rd Edition (2009) Reference books:

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Lecture #0

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  1. Lecture #0 Artificial Intelligence INT404

  2. CSE510, Lovely Professional University, Phagwara 2 Course Overview L T P : Text Book: • “ARTIFICIAL INTELLIGENCE”, RICH, KNIGHT, Mc GRAW HILL , 3rd Edition (2009) Reference books: • “Artificial Intelligence” by N. P. Padhy, Oxford University Press, 1st Edition, (2015) • “ARTIFICIAL INTELLIGENCE: A MODERN APPROACH” by STUART RUSSEL, PETER NORVIG, PEARSON, 2nd Edition, (2012) • “ARTIFICIAL INTELLIGENCE” by SAROJ KAUSHIK, CENGAGE LEARNING, 1st Edition, (2011)

  3. CSE508, Lovely Professional University Marks Breakup: * 2 Best CA out of 3 CA (2 Class test, MCQ) each of 10 marks. CA1 (Class Test) will be held on 5th Week CA2 (Class Test) Will be held on 9th Week CA3 (Class Test) Will be held on 12th Week

  4. What is AI? Mapping of Human brain into machine Human Brain

  5. Why study AI? Search engines Science Medicine/ Diagnosis Labor Appliances What else?

  6. Honda Humanoid Robot Walk Turn Stairs

  7. Sony AIBO

  8. Natural Language Question Answering http://aimovie.warnerbros.com http://www.ai.mit.edu/projects/infolab/

  9. Milestone in the field of Artificial Intelligence

  10. Robot holding electric bulb

  11. Driver-less Car

  12. Human vs Robot Table Tennis game

  13. CSE510, Lovely Professional University, Phagwara Examples of Artificial Intelligence You’re Using in Daily Life • Virtual Personal Assistants Siri, Google Now are all intelligent digital personal assistants on various platforms (iOS, Android, and Windows Mobile). In short, they help find useful information when you ask for it using your voice; you can say “Where’s the nearest Chinese restaurant?”, “What’s on my schedule today?”, “Remind me to call Jerry at eight o’clock,” and the assistant will respond by finding information, relaying information from your phone, or sending commands to other apps.

  14. CSE510, Lovely Professional University, Phagwara • Smart Cars You probably haven’t seen someone reading the newspaper while driving to work yet, but self-driving cars are moving closer and closer to reality; Google’s self-driving car project and Tesla’s “autopilot” feature are two examples that have been in the news lately. self-driving cars learn to drive in the same way that humans do: through experience.

  15. CSE510, Lovely Professional University, Phagwara • Purchase Prediction • Large retailers like Target and Amazon stand to make a lot of money if they can anticipate your needs. Amazon’s anticipatory shipping project hopes to send you items before you need them, completely obviating the need for a last-minute trip to the online store. While that technology isn’t yet in place, brick-and-mortar retailers are using the same ideas with coupons; when you go to the store, you’re often given a number of coupons that have been selected by a predictive analytics algorithm.

  16. CSE510, Lovely Professional University, Phagwara • Fraud Detection • Have you ever gotten an email or a letter asking you if you made a specific purchase on your credit card? Many banks send these types of communications if they think there’s a chance that fraud may have been committed on your account, and want to make sure that you approve the purchase before sending money over to another company. Artificial intelligence is often the technology deployed to monitor for this type of fraud.

  17. CSE510, Lovely Professional University, Phagwara • In many cases, computers are given a very large sample of fraudulent and non-fraudulent purchases and asked to learn to look for signs that a transaction falls into one category or another. After enough training, the system will be able to spot a fraudulent transaction based on the signs and indications that it learned through the training exercise.

  18. CSE510, Lovely Professional University, Phagwara • Security Surveillance A single person monitoring a number of video cameras isn’t a very secure system; people get bored easily, and keeping track of multiple monitors can be difficult even in the best of circumstances. Which is why training computers to monitor those cameras makes a great deal of sense. With supervised training exercises, security algorithms can take input from security cameras and determine whether there may be a threat—if it “sees” a warning sign, it will alert human security officers.

  19. CSE510, Lovely Professional University, Phagwara • Smart Home Devices Many smart home devices now include the ability to learn your behavior patterns and help you save money by adjusting the settings on your thermostat or other appliances in an effort to increase convenience and save energy. For example, turning your oven on when you leave work instead of waiting to get home is a very convenient ability. A thermostat that knows when you’re home and adjusts the temperature accordingly can help you save money by not heating the house when you’re out.

  20. CSE510, Lovely Professional University, Phagwara Real Examples

  21. CSE510, Lovely Professional University, Phagwara Video Time • https://www.youtube.com/watch?v=ZFB6lu3WmEw • https://www.youtube.com/watch?v=O-h8fFkm3UA

  22. CSE510, Lovely Professional University, Phagwara 22 - Introduction Unit 1 • Foundations of artificial intelligence(AI) • History of AI • Basics of AI • Artificial Intelligence Problems • Artificial Intelligence Techniques

  23. Foundations of AI Unit 1

  24. Time-line of AI Unit 1

  25. Application areas of AI Unit 1

  26. CSE510, Lovely Professional University, Phagwara 26 Unit 1 - Problem Spaces and Search • Defining the problem as a state space search • Problem characteristics • Production systems • Production system characteristics • Issues in designing search problems • Breadth first search (BFS) • Depth first search(DFS) • Bi-directional Search

  27. CSE510, Lovely Professional University, Phagwara 27 - Informed Search Strategies Unit 2 • Best first search • A* algorithm, Heuristic functions • Generate and Test • Hill Climbing • Simulated Annealing • Constraint satisfaction

  28. CSE510, Lovely Professional University, Phagwara 28 - Knowledge Representation Unit 3 • Representations & mappings • Approaches in knowledge representation • Issues in knowledge representation • Predicate logic • Propositional logic • Procedural versus declarative knowledge • Forward versus backward reasoning • Logic programming

  29. CSE510, Lovely Professional University, Phagwara 29 Unit 4 - Symbolic reasoning under uncertainty • Non monotonic reasoning • Logic for non monotonic reasoning • Implementation issues • Augmenting a problem solver • Truth maintenance system - Statistical reasoning • Certainty factors & rule-based systems, • Probability & Bayes' theorem • Bayesian networks • Dempster-Shafer-Theory

  30. CSE510, Lovely Professional University, Phagwara 30 Unit 5 - Weak slot and filler structures • Semantic nets • Frames

  31. Unit 5 - Strong slot and filler structures • Conceptual dependency • Scripts

  32. CSE510, Lovely Professional University, Phagwara 32 Unit 6 - Game playing • The min-max search procedure • Alpha-beta cutoffs • Iterative deepening - Advance topics in Artificial Intelligence • Natural Language Processing(NLP) • Artificial Neural Network • Fuzzy logic systems • Genetic algorithms

  33. CSE510, Lovely Professional University, Phagwara 33 Thank You !!!

  34. CSE510, Lovely Professional University, Phagwara 34 Next Class: Artificial Intelligence Problems, Artificial Intelligence Techniques

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