September 3, 2004

Course Number and Title

Calendar Description

An exploration of the principles of artificial intelligence as they apply to conventional classroom and the learning processes. Topics include expert systems, intelligent computer-assisted instruction, tutoring systems, fifth- generation languages, and logic programming (e.g. Prolog). Lectures, discussion, demonstrations, and where possible site visits and hands-on experience will be provided.

Dr. G. Cartwright
 

Homepage:	http://www.education.mcgill.ca/profs/cartwright
E-mail (preferred):  Netiquette:	glenn.cartwright@mcgill.ca 1. write from the same e-mail address you want reply sent to.  2. do not include attachments
Fax:	(514) 398-2832
Telephone: (least preferred)	(514) 398-5712

 

The Text:	(none currently)
The Course:	http://www.education.mcgill.ca/profs/cartwright/edpe660
The Professor:	http://www.education.mcgill.ca/profs/cartwright
The Department	http://www.education.mcgill.ca/ecp
The Faculty:	http://www.education.mcgill.ca
The University:	http://www.mcgill.ca
The Library:	http://www.library.mcgill.ca
The PERUSE system:	http://peruse.mcgill.ca
The Computing Centre	http://www.mcgill.ca/cc

Franklin, Stan (April 1997) Artificial Minds  MIT Press; ISBN: 0262561093 ;

Gershenfeld, Neil A. (February 2000) When Things Start to Think.  Owl Books; ISBN: 080505880X

Minsky, Marvin L (March 1988) The Society of Mind.  Simon & Schuster; ISBN: 0671657135

Moravec, Hans P. (May 2000) Robot : Mere Machine to Transcendent Mind.  Oxford Univ Pr (Trade); ISBN: 0195136306.

Paul, Gregory S and Cox, Earl (October 1996) Beyond Humanity : Cyberevolution and Future Minds.  Charles River Media; ISBN: 1886801215.

Churchland, P.S. and Churchland, P.S. Could a Machine Think? Scientific American, 262(1), 32­37.

Crevier, D. Artificial Intelligence.

Moravec Hans P. (March 1990) Mind Children : The Future of Robot and Human Intelligence.

Peat, F. David (1988). Artificial Intelligence New York: Baen Enterprises.

Searle, John R. Is the Brain's Mind a Computer Program? Scientific American, 262(1), 26­31.

Stix, G. (1996). Waiting for breakthroughs. Scientific American, 274(4), 94-99.

Waldrop, M. M. (1987). Man-Made Minds: The Promise of Artificial Intelligence. New York: Walker & Co.

This is a course in artificial intelligence in education. It is not a course in artificial intelligence nor does it aim to produce AI programmers. You do not need any knowledge of AI or computing to take this course but in the course you must be willing to learn and to use the computer. Everything you need to know about computer use will be provided for you. The course assumes that there is a body of knowledge pertaining to artificial intelligence which may be applicable to education and which is broadly represented by the text and elaborated on and supplemented by lectures. Lectures, hands-on experience, demonstrations, and field trips (if possible) will be used to supplement the text. A term paper or presentation requirement will permit you to explore a single aspect of artificial intelligence in some depth.

The class meets Fridays in room ED624 from 9:30 to 12:30. Dates are from September 3-November 26, 2002.

There will be no supplemental exam.

If you need to know if classes are still on due to weather, etc, please telephone (514) 398-1234

This is a new service and will be updated as often as each hour in case of emergency as will the McGill web site http://www.mcgill.ca

Video and/or audio-recording of lectures is not permitted. Course auditors are not permitted by University regulation.

McGill University values academic integrity. Therefore, all students must understand the meaning and consequences of cheating, plagiarism and other academic offences under the Code of Student Conduct and Disciplinary Procedures (see http://www.mcgill.ca/integrity for more information).

Assignments will make up part of the required work in the course. These will be described in a separate handout to be distributed later but in general they will involve participation in the communication activities and a written assignment. Late assignments will be penalized one full letter grade per day for each day late.  Assignments not submitted will result in a grade of incomplete in the course.

There will be a takehome final exam

There will be no supplemental exam.                                                     .

This course is web-assisted. The computer will be used to communicate with other students, and the professor. It may be used to access course materials, to access discussion groups on adolescence around the world, and to demonstrate SchoolNet. You do not need a computer to participate (use ours), you do not need experience with computers to participate, and all you need to know will be provided in class by the instructor. However, students with a home computer and a modem may find some advantage in performing these functions at home. If you are computer phobic, here is your chance to learn about some important bibliographic tools and gain some skills which will help you in your other courses at McGill. If you have any concerns in this regard, please talk with the instructor who will be pleased to help you.

At your convenience, you may use the computers  in room ED538. Some sessions will be scheduled in the IBM PC lab on the third floor (room ED328). These will be announced in advance.

You are invited to participate in an on-going computer conference to discuss various aspects of artificial intelligence in education.

As is common in McGill courses, a course evaluation will be distributed toward the end of the course. However, your feedback is important and students are invited and encouraged to keep in touch with the instructor throughout the course using e-mail and to request clarifications, express concerns, state disagreements, and offer comments, criticisms, and/or praise after every lecture. Be polite - no flames please! Let us enter into an ongoing dialogue to improve the course together while it is in progress. Corrections, clarifications or elaborations will be made, if necessary, in a subsequent class.Students can use their McGill  e-mail code to send messages to the instructor, to other students in the class, or to students on campus or elsewhere on the Internet: the Information Highway. All necessary details will be provided by the instructor.

The official website for this course is:
 
http://www.education.mcgill.ca/profs/cartwright/edpe660

The McGill Home Page is http://www.mcgill.ca

You can also get there either from your professor's homepage or the course homepage. Here you willl find information about the university, phone numbers, e-mail addresses, and departmental as well as other information like room assignments and exam schedules.

Welcome to Mind-it. Mind-it is your personal web assistant. You can stay informed of changes to information and content in webpages  you use (like the NOTES webpage) by registering the page(s) at this site. Mind-it will watch the page(s) for you and email when you when relevant changes occur. http://mindit.netmind.com/

Access to MUSE is available from dedicated library terminals, from any full screen terminal on the McGill Campus (e.g. Rooms ED533 or ED538 in the Education building), or from your home computer by telephone through a modem. For further information, obtain an instruction sheet from the library or ask your instructor.

For more info on MUSE, go to http://www.library.mcgill.ca/muse/muse.htm

PERUSE is a relatively new service for McGill staff and students, offering access to on line periodical indexes and abstracts. Access is available from PERUSE workstations in the following libraries: Blackader-Lauterman, Blacker-Wood, Education, Edward Rosenthall Mathematics, Health Sciences, Humanities and Social Sciences (McLennan) , Law, Macdonald Campus, Marvin Duchow Music, Physical Sciences and Engineering, and the Walter Hitschfeld Environmental Earth Sciences.Access to PERUSE is also possible across the McGill (fibre optic) backbone and via dialup to McGill's terminal server. You will need a special code and password if you wish to access PERUSE from home. Application forms are available from the Computing Centre, room 223, Burnside Hall

For more information on PERUSE, go to http://www.library.mcgill.ca/peruse/peruse.htm

To print documents from the World Wide Web, from the FILE menu, just select PRINT in your browser.

Students are directed to sources on the World Wide Web (the fastest growing part of the Internet). WWW will be demonstrated in class and students will gain experience exploring relevant websites. Demonstrations of subject appropriate material on the World Wide Web will be given in class. Three free sessions to access to the World Wide Web may be had in the third floor computer lab, room ED328. Most course documents are be available on the Web. The World Wide Web, also known as W3 or WWW or "the Web" is a hypertext or hypermedia information retrieval project. Its purpose is to give universal access to a large number of documents on Internet-connected computers (called servers). These documents can range from simple text to sound, still graphics, and full motion video. Hypertext is text that contains links to other text. Hypertext refers to nonlinear text. Whereas you normally read left to right, top to bottom or beginning to end, in hypertext you follow links that take you to various different places in the document, or even to other related documents, without you having to scan through the entire text. The other documents may be stored on the same computer or on different computers anywhere in the world. The jump from place to place will usually be invisible to you.The Web was started at CERN, a high energy physics research centre in Switzerland. Many tools have been written and are still in production to allow access to hypermedia data. They include servers (computers) that act as information sources and clients (the program you use) that retrieve and display the information.WWW information clients can have different capabilities. Client software (e.g. Netscape Communicator 6.2 and the Microsoft Internet Explorer 5.0 are available from the computing centre. Users must have a terminal server (DAS) account (available free from the computing centre) if dialing in from home and will require a  fast modem (28.8k baud is now considered the absolute minimum).

EDPE­660

September 3, 2004

Professor G. Cartwright

1. September 6 - Film: Artificial Intelligence.

Lecture: Artificial Intelligence (AI in understanding learning and classroom processes. History of Artificial Intelligence - in myth, science, the real world, and in education. Alan Turing, the Turing Principle. What does AI promise? In what ways can education benefit from AI?
Film: Making the Quantum Leap or The Age of the Intelligent Machine.

2. September 13 - Lecture: Can a Machine think? A love story:  Babbage and Lovelace.
Video:  In search of the intelligent machine

Practical programs - natural-language and voice recognition. Syntax and semantics, subject and predicate, solving ambiguities, identifying key ideas. Specific natural-language programs (SAM, PAM, TALE-SPIN), voice recognition systems, classroom applications of voice recognition systems.

Film: The HearSay System (Carnegie-Mellon).

3. September 20 - Lecture: Expert Systems - role in education. What is an Expert System? Problems in Expert System Development. Specific Expert System projects (DART, GUIDON2, NEOMYCIN, KBVLSI, MOLGEN, RX, IA, MRS) Classroom applications of expert systems. Image understanding systems (IU applications)

Film: Cloning the Experts.
 

4. September 27 - Lecture: The Japanese Fifth Generation Project, distributed AI systems.

Lecture: Programming Intelligence -- knowledge representation, predicate logic.

Demonstration: Fifth Generation languages: PROLOG.

5. October 3 - TBA

6. October 10 - TBA

7. October 17 - Hands on experience: Meet at IBM PC lab (3rd floor room ED328). Students will be provided with all necessary instructions to build an intelligent database representing their family tree using PROLOG.

- Lecture: Robotic Systems - Robots in literature, history, Asimov's Laws of Robotics. Applications, Logo, programming use in schools, procedural thinking and turtles, teaching systems. Using the turtle to teach procedural thinking.

8. October 23 - Meet at PC Lab. Students will continue working with PROLOG.

Film: Coming to a Factory near you: CAD (Computer-Aided Design).

Newsclip: Today's Robot Status

9. October 30 - Guest Lecture: Brain-Based Learning Systems, Perception, Percy, neural nets.

Demonstration: McLelland and Rummelhart's parallel distributed processing.

10. November 5 - Demonstration of Turbo Prolog in the PC Lab room ED328. Towers of Hanoi problem and an intelligent geographical database.

Film: Goodbye Gutenberg. (United Kingdom).

11. November 12 - Lecture: Problem Solving in the Human and in the Computer - The Tower of Hanoi, Searching with State Graphs, Heuristics, Subgoals, and Game Playing-heuristics. The Minimax and Alpha-Beta Methods

Film: Beyond the Vision.

12. November 19 - Lecture: General Problem Solver (GPS) - Components of GPS - Monkey Task, Letter-Series Completion, Three-Coin Puzzle

Film: Now the Chips are Down. (United Kingdom).

13. November 26 - Lecture: Psychological foundations, programming beliefs, emotions, imagination, and creativity - what is possible? applications.

Demonstration: COMCON: an intelligent teaching program.

Film: ARK: Alternate Reality Kit. (Stanford University).

 Last class. Philosophical foundations. The Assumptions underlying AI in education, biological, psychological, epistemological, and ontological.

Film: The MIT Media Lab.

Albus, James Sacra. (1981). Brains, Behavior and Robotics. Peterborough, NH: Byte Books.

Barr, Avron, and Feigenbaum, Edward A. (1981). The Handbook of Artificial Intelligence. Stamford, CT: Heiristech Press.

Boden, Margaret A. (1977). Artificial Intelligence and Natural Man. New York, NY: Basic Books.

Brulé, J. (1986). Artificial Intelligence: Theory, Logic, and Application. Tab Books.

Charniak, Eugene, et al. (1980). Artificial Intelligence Programming. Hillsdale, NJ: Erlbaum Associates.

Clancy, W. J. (1986) From GUIDON to NEOMYCIN to HERACLES in twenty short lessons. AI Magazine, 7(3): 40­60.

Dreyfus, Hubert (1979). What Computers Can't Do: A Critique of Artificial Reason. New York, NY: Harper and Row.

Ernst, George W., and Newell, Allen (1969). GPS: A Case Study in Generality. New York, NY: Academic Press.

Feigenbaum, Edward, A. and McCorduck, Pamela (1983). The Fifth Generation - Artificial Intelligence and Japan's Challenge to the World. Addison-Wesley Publishing Company.

Gardiner, W.L. (1987) The Ubiquitous Chip: The Human Impact of Electronic Technology. Hudson Heights, QC: Scot & Siliclone.

Hartnell, Tim (1985). Exploring Artificial Intelligence on Your Apple II. Bantam Books.

Hofstadter, Douglas R. (1985) Metamagical Themas: Questing for the Essence of Mind and Pattern. Basic Books.

Hutchison, Michael (1986). MegaBrain. Beech Tree Books.

Jackson, P. (1985). Introduction to Artificial Intelligence, 2nd edition. New York: Dover.

Jaki, Stanley L. (1969). Brains, Mind and Computers. Frankfurt, West Germany: Herder and Herder.

James, Mike (1984). Artificial Intelligence in BASIC. Butterworth & Co.

Johnson, George (1986). Machinery of the Mind. Redmond, Washington: Tempus.

Kearsley, Greg (1987). Artificial Intelligence and Instruction. Addison Wesley.

Keller, Arnold (1987). When Machines Teach. New York: Harper and Row.

Ladd, S. (1986). The computer and the brain. New York: Bantam.

Levy, David (1983). Computer Gamesmanship. London: Century Publishing.

McCorduck, Pamela (1979). Machines Who Think. W. H. Freeman.

Minsky, Marvin Lee, and Papert, Seymour. (1973) Artificial Intelligence. Eugene, OR: University of Oregon Press.

Mishkoff, H. (1985). Understanding Artificial Intelligence. Indianapolis: Sams.

Nilsson, Nils J. (1981). Principles of Artificial Intelligence. Los Altos, CA: Tioga Publishing Co.

Pratt, V. (1987). Thinking Machines. Blackwell.

Penrose, Roger. (1990). The Emperor's New Mind.

Schank, Roger C., and Riesbeck, Christopher K. (1981). Inside Computer Understanding. Hillsdale, NJ: Lawrence Erlbaum Associates.

Slagle, James R. (1971). Artificial Intelligence; The Heuristic Programming Approach. New York, NY: McGraw-Hill.

Szotovits, Peter, ed. (1982). Artificial Intelligence in Medicine. Boulder, CO: Westview Press.

Turkle, Sherry (1984). The Second Self: Computers and the Human Spirit. Simon & Schuster.

Van Horn, Mike (1986). Understanding Expert Systems. Bantam Books.

Waldrop, M. M. (1987). Man-Made Minds: The Promise of Artificial Intelligence. New York: Walker & Co.

Weizenbaum, Joseph (1976). Computer Power and Human Reason. W. H. Freeman and Co.

Wenger, Etienne (1987). Artificial Intelligence and Tutoring Systems. Morgan Kaufman.

Winston, Patrick Henry (1977). Artificial Intelligence. Boston, MA: Addison-Wesley.

Winston, Patrick Henry, and Bworn, Richard Henry, eds. (1977). Artificial Intelligence: An MIT Perspective. Cambridge, MA: MIT Press.

Webber, Bonnie Lyne, and Nilsson, Nils J. (1983). Readings in Artificial Intelligence. Los Altos, CA: Tioga Publishing Co.
 
 

Thinking Computers:

Searle, John R. Is the Brain's Mind a Computer Program? Scientific American, 262(1), 26­31.

Churchland, P.S. and Churchland, P.S. Could a Machine Think? Scientific American, 262(1), 32­37.

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