CS 251: Artificial Intelligence “Intelligent Systems”: one of the 14 areas in the 2005 ACM/IEEE CS body of knowledge. Course home page: http://www.cs.uvm.edu/~xwu/ai/index-14f.shtml Instructor: Xindong Wu ([email protected]) Office: Votey 317 Phone: 656-7839 Office Hours etc: See course home page. CS 251: AI (Fall '14) 1 ACM：The 1st Association in Computing ACM Turing Award – the Nobel Prize in Computing IEEE-CS: The Largest Society for Computer Professionals CS 251: AI 2 1 CS 251: AI 3 CS 251: AI 4 2 Sources of Lecture Notes From the textbook website (at UC Berkeley) Techniques in Artificial Intelligence at MIT Methodologies in Artificial Intelligence at Duke University Foundations of Artificial Intelligence at Cornell University My own additions and modifications CS 251: AI 5 What is Artificial Intelligence (AI)? AIMA – Chapter 1, Slides 5 - 9 CS 251: AI 6 3 CS 251: AI 7 CS 251: AI 8 4 CS 251: AI 9 CS 251: AI 10 5 What is AI (2): Definitions from Other Sources Rich and Knight (1991): the study of how to make computers do things which, at the moment, people do better. Wu (1994): a subject concerned with the problem of how to make machines perform such tasks, like vision, planning and diagnosis, that usually need human intelligence and are generally difficult to be carried out with conventional computer science technology. CS 251: AI 11 What is Intelligence? It contains: Symbolic inference (as well as numerical computations). Heuristics (as well as complete theories). Difference between human intelligence & AI – A personal view CS 251: AI AI is an extension of human intelligence (in terms of calculus accuracy and speed). AI cannot (at least yet) match human intelligence (in terms of emotion and creativity). 12 6 Goals in AI Engineering goal: To solve realworld problems, by building systems that exhibit intelligent behavior. Scientific goal: To understand what kind of computational mechanisms are needed for modeling intelligent behavior. CS 251: AI 13 Would AI Be Possible? Yes, but NOT necessarily the same as human intelligence. Weak AI vs strong AI: Weak AI: simulated thinking or intelligence Strong AI: machines actually think (possibly in their own ways!) Slides 15-17 (Introduction from Cornell CS 472) CS 251: AI 14 7 CS 251: AI 15 CS 251: AI 16 8 Course Overview Logic and Prolog Search: Uninformed and Informed Game Playing Knowledge Representation Rule-Based Systems Planning Natural Language Processing Machine Learning and Data Mining. CS 251: AI 17 Grading & Important Dates 4 Assignments (see course home page) 20% 2 Mid-Term Exams: 30% Trursday, (10/2 -> 9/25) and Thursday Nov. 13 Programming Project: Due Dec. 3 Final Exam: 20% Dec. 9,4:30 – 7:15pm, Votey 207 30% CS 251: AI 18 9 Slides & Homework Slides at http://www.cs.uvm.edu/~xwu/ai/index-14f.shtml (Course Syllabus by Week & Slides) Homework Download and install GNU Prolog on your own computer from http://www.gprolog.org/ CS 251: AI 19 10