Download GOVERNORS STATE UNIVERSITY

GOVERNORS STATE UNIVERSITY
COLLEGE OF ARTS AND SCIENCES
DIVISION OF SCIENCE
COURSE SYLLABUS
COURSE TITLE:
COURSE NUMBER:
CREDIT HOURS:
PROFESSOR:
E-MAIL:
WEBSITE:
OFFICE:
OFFICE HOURS:
TRIMESTER:
Artificial Intelligence
CPSC 660
3
Winfried Karl RUDLOFF, Ph. D., Dr. h.c.
Distingished Professor of Global Education, IIAS
[email protected]
http://faculty.govst.edu/science/faculty/rudloff/wkr.htm
Room F2637
M 11:00am - 1:00 pm, or by appointment
Winter 2009
RATIONALE AND COURSE DESCRIPTION:
During the past few years, theoretical and applied computer sciences have focused attention on the
concepts of artificial intelligence (AI). Although AI has been around for decades, only recently has it become known outside of the computer world, since the Japanese began to put large national efforts in developing the so-called 5th computer generation.
The study of artificial intelligence is closely coupled to that of natural intelligence. Thus, it is not
surprising that initial impulses originated from theoretical psychology. It is obviously in the nature of intelligence that the scientific exploration of AI and its applications has spread over many disciplines in science
and technology.
This course is designed to initiate the student into the secrets of intelligence, that of men and that
of machines. An understanding of the physical brains in humans and computers, and the mechanisms underlying both should lead to a better appreciation on how we think and learn and, consequently, how we
can make machines learn and think. We will dare to look into the future, where intelligent machines will
provide universal knowledge at the snap of a finger, at the command of our voice. Although this is mainly
a series of lectures, we discuss possible exercises in the microcomputer labs, to impart to the student a
working knowledge of computer applications and the concepts of future intelligent machines.
LEARNING OBJECTIVE:
The main objective of this course is to provide the students with an understanding of the principles of natural and artificial intelligence end computer programming applications in pertinent AI languages.
PREREQUISITES:
An open mind and a desire to learn about the future.
INTENDED AUDIENCE:
Students who are curious about the human mind and intelligent machines.
TEXTBOOKS & READING MATERIAL:
Required:
Rudloff, W., “Minds and Memories of Men and Machines”, HypertextHypermedia-Multimedia Lecture material developed for this course at:
http://faculty.govst.edu/science/faculty/rudloff/wkr.htm
Recommended as Optional:
Arnold, W. R. & J. S. Bowie: "Artificial Intelligence: A Personal Commonsense Journey", Prentice-Hall, Inc., Englewood Cliffs, N.J., 1986
Russell, S. & P. Norvig: “Artificial Intelligence: A Modern Approach”, Prentice-Hall, Inc., Englewood Cliffs, N.J., 1995
Campbell, J.: “The Improbable Machine: What the Upheavals in Artificial Intelligence Research Reveal
about how the Mind really Works”, Simon & Schuster, New York, NY, 1989
New York Academy of Science: ‘Windows on the Brain: Neuropsychology’s Technological Frontier”,
Annals Volume 620, Ed. R.A. Zappulla et al., 1991
Prolog Development Center: “Visual-Prolog”, Prolog Development Center, H.J. Holst Vey 5A, Copenhagen, 1990
Corrick, J. A.: "The Human Brain. Mind and Matter", Arco Publishing Inc., New York, 1983
Feigenbaum, E. et al.: "Handbook of Artificial Intelligence", HeurisTech Press, Stanford, CA, 1982
Johnson-Laird, P. N.: "The Computer and the Mind", Harvard University Press, Cambridge, MA, 1988
Kent, E. W.: "The Brains of Men and Machines", BYTE/McGraw Hill, New York/NY, 1981
Rumelhart, D. E., J. L. McClelland & PDP Research Group: "Parallel Distributed Processing", MIT Press,
Cambridge, MA, 1986
Yazdani, M. & A. Narayanan: "Artificial Intelligence: Human Effects", Ellis Horwood Ltd. & Halsted
Press (Wiley & Sons), N.Y., 1985
Zurada, J. M.: "Introduction to Artificial Neural Systems", West Publishing Comp., St. Paul, 1992
Simons. G.L.: "Introducing Artificial Intelligence", NCC Publications, 1984
Sterling, L. & E. Shapiro: ''The Art of Prolog", The MIT Press, Cambridge/Mass., 1986
ACTIVITIES:
The lectures are primarily oriented around the material developed for the course and pertinent
handouts. However, STUDENTS WILL BE RESPONSIBLE FOR ALL MATERIAL COVERED IN
CLASS AND ASSOCIATED LABWORK. It is highly recommended that the students follow up on the
ideas discussed during the course through pertinent reading of suggested books on Al. Students are encouraged to become familiar with Guide ReaderTM, Guide AuthorTM, and Guide ViewerTM, the HypertextHypermedia-based authoring environments that allow the students to interact via the Internet with our electronic publications. Students are expected to develop an independent attitude towards the development of
a project consisting of pertinent library research and the development of an AI-related computer program
of their own choice. Specifically, the student may develop a pertinent expert system using PROLOG, LISP,
or an expert system shell. Such project should be initiated as early as possible during the course in consultation with the professor. The project is selected by the student from an area of his/her interest and should
reflect the principles of artificial intelligence, expert systems, and their applications as studied during this
course.
During this course we will experiment with vclass, the Virtual Classroom, by Elluminate to provide the students with an approach to long-distance learning.
COURSE EVALUATI0N:
Homework and Class Participation
Midterm Exam
Final Exam
Project
10%
30%
30%
30%
Letter grades will be given based on a statistical evaluation of the overall number grades.
TENTATIVE CLASS SCHEDULE:
NOTE: The schedule is essentially based on our lecture notes that were developed for this course. These
notes are sequentially available on our website under the Hypertext/Hypermedia system.
Date
Topics
05 Jan
Cogito, ergo sum: I think, therefore I am: The Mind, the Brain, and Thinking Machines. A Discourse on the Puzzle of Intelligence.
12 Jan
Intelligence: Defining the Essence: the brain as signal processor and information store
19 Jan
UNIVERSITY CLOSED - HOLIDAY
26 Jan
Smart Machines: Machine Intelligence, Basic Concepts of AI and applications of
artificial intelligence in historical perspective
02 Feb
Talking to machines: Concepts of and programming in AI-oriented languages -- LISP -- PROLOG
(Lecture & Lab).
09 Feb
UNIVERSITY CLOSED – HOLIDAY
16 Feb
Memory: The Storage Bin of the Mind. Knowledge and Its Representation
Titles for Project are due
23 Feb
The Senses as Windows to the World; Faces and Interfaces: Signals, Perception, Pattern recognition, and Abstraction
02 Mar
Methinks, I know it all: Midterm Exam
09 Mar
It all makes sense: Symbolics, abstraction, meaning, and natural language processing Neurons: The
Memory Chips of the Brain; Signal Transfer through the Nerve System and Computer Busses.
16 Mar
The Heavy Stuff: Logic and Common Sense, whatever that Means. Checkmate: Games, problems
& searching for solutions; solving problems with (intelligent?) machines Algorithms, solution
space, trees, and other techniques.
23 Mar
Engineering of knowledge: Knowledge representation; the Fifth Computer Generation, knowledgebased & expert systems; the future
30 Mar
R2D2: Robots, intelligent machines, and men as automata; parallel processing.
For Heaven's sake, what have we done: Beyond the Fifth Generation - The social impact of intelligent machines; human-machine interface in the coming age of intelligent machines
06 Apr
The 1st Day of Enlightenment: Presentation of Projects
13 Apr
The 2nd Day of Enlightenment: Presentation of Projects
20 Apr
The Day of Reckoning: Final Exam
Notes: This Syllabus may be downloaded in PDF-form from our website:
http://faculty.govst.edu/science/faculty/rudloff/wkr.htm
GSU is committed to providing all students equal access to all university programs and
facilities. Students who have a documented physical, psychological, or learning
disability and need academic accommodations, must register with Access Services for
Students with Disabilities (ASSD). Please contact the Coordinator of ASSD in Room
B1201 in person; by e-mail, [email protected]; or by calling 708.235.3968. If you are
already registered, please contact your instructor privately regarding your academic
accommodations