Introduction to Artificial Intelligence
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Lecture Description: Lecture video by Mustafa Jarrar at Birzeit University, Palestine. See the course webpage at: http://www.jarrar.info/courses/AI/ Other courseshttp://www.jarrar.info/courses/ Introduction to Artificial Intelligence
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Introduction to Artificial Intelligence
- 1. Jarrar © 2014 1 Introduction Mustafa Jarrar: Lecture Notes on Artificial Intelligence Birzeit University, 2014 Artificial Intelligence Dr. Mustafa Jarrar Sina Institute, University of Birzeit [email protected] www.jarrar.info
- 2. Jarrar © 2014 2 Watch this lecture and download the slides from http://jarrar-courses.blogspot.com/2011/09/online-courses.html
- 3. Jarrar © 2014 3 Part1: What is AI (Discussion) Part2: Course Outline Lecture Outline
- 4. Jarrar © 2014 4
- 5. Jarrar © 2014 5
- 6. Jarrar © 2014 6 Reading and Discussion Study the “Artificial Intelligence” article from the Wikipedia. Don’t read ch.1 You will answer one of the following questions. This will be a quiz!
- 7. Jarrar © 2014 7 Discussion • What is the common definition of “AI”? Do you agree? • Do you know any AI application? • Should artificial intelligence simulate natural intelligence? • What are the criticisms on the AI research? Do you agree? • What is the relation between AI and logic? AI and philosophy? Logic and philosophy? • Explain the meaning of logic? reasoning? ontology? • What is Natural Language Processing? And how it is related to AI? • Why and how Probabilistic and statistical methods are used in AI ? • What are the major research approaches/schools in AI? Which one you think is more productive? • Which Arabic philosophers contributed to logic in the past? • Why Arabs chose to study logic in the past?
- 8. Jarrar © 2014 8 Part1: What is AI (Discussion) Part2: Course Outline Lecture Outline
- 9. Jarrar © 2014 9 Topics Introduction to AI, and Intelligent Agents Information Retrieval & Natural Language processing Lexical Semantics and Lexical Resources Knowledge Representation & Reasoning Description Logic, Business Rules, and Ontologies Uninformed Search Informed Search Games and Adversarial Search Machine Learning & Neural Networks Seminar: {Planning, Fuzzy logic and Probabilistic Reasoning, Decision Making, Constraint Satisfaction, NLP topics, History of Logic}. Synthesis Paper: Every three student should write a synthesis paper (6-10 pages) about a research topic that will be assigned to them.
- 10. Jarrar © 2014 10 Topics Intelligent Agents
- 11. Jarrar © 2014 11 Topics Information Retrieval & Natural Language processing Lexical Semantics and Lexical Resources
- 12. Jarrar © 2014 12 Topics Knowledge Representation & Reasoning Description Logic, Business Rules, and Ontologies
- 13. Jarrar © 2014 13 Topics Uninformed Search Informed Search Games and Adversarial Search
- 14. Jarrar © 2014 14 Topics Machine Learning & Neural Networks
- 15. Jarrar © 2014 15 Topics Seminar: {Planning, Fuzzy logic and Probabilistic Reasoning, Decision Making, Constraint Satisfaction, NLP topics, History of Logic}. Every three students will select one of these topics and will be given 25 minutes to present it in front of all students. Students will be evaluated based on (i) their understanding of the topic and (ii) how much other students understood them.
- 16. Jarrar © 2014 16 Topics Synthesis Paper: Every three student should write a synthesis paper (6-10 pages) about a research topic that will be assigned to them. Students are expected to read at least three recent articles related to the course topics; and summarize and criticize them. Discussion and guidance will be provided during the course.
- 17. Jarrar © 2014 17 Grading Med Exams (20%) Final exam (35%) Paper and Seminar (15%) Projects (30%)
- 18. Jarrar © 2014 18 Teaching Material: Textbook: S. Russell and P. Norvig: Artificial Intelligence: A Modern Approach Prentice Hall, 2003, Second Edition Lecture Notes: All lecture notes will be published on Ritaj before or directly after each lecture. All lectures will be video recorded, and published online at: http://jarrar-courses.blogspot.com/2011/11/artificial- intelligence-fall-2011.html
- 19. Jarrar © 2014 19 Rules Smile and be cool: help be to make the course full of fun!!!! Attendance. Attendance is mandatory. University regulations are strictly enforced. Academic Honesty: Individual work must be each student’s own work. Plagiarism or cheating will result in official University disciplinary review. Missed Exams: There are no makeup exams, and project deadlines are very hard. Etiquette: Cell phones must be turned off. Don’t come late. If you must go out during the lecture go but don’t let me notice. Ritaj: Official communicate through Ritaj. I assume you check it several times a day (other channels of communication are informal). Facebook Group: students are encourage join this group (https://www.facebook.com/groups/1460847144188492/) to discuss and share related material among each other. (This is an informal communication channel, and does not replace Ritaj).