Download Artificial Intelligence - Governors State University

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Artificial intelligence in video games wikipedia , lookup

Technological singularity wikipedia , lookup

Embodied cognitive science wikipedia , lookup

Human-Computer Interaction Institute wikipedia , lookup

AI winter wikipedia , lookup

Intelligence explosion wikipedia , lookup

Existential risk from artificial general intelligence wikipedia , lookup

Ethics of artificial intelligence wikipedia , lookup

Philosophy of artificial intelligence wikipedia , lookup

History of artificial intelligence wikipedia , lookup

Transcript
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:
Artificial Intelligence
CPSC 660
3
Winfried Karl RUDLOFF, Ph. D., Dr. h.c.
Fellow, The International Institute for Advanced Studies in
Systems Research and Cybernetics (IIAS)
Distingished Professor of Internet-Based Global Education, IIAS
[email protected]
http://www3.govst.edu/w-rudloff/wkr.htm
Room F2637
TH 2:00 - 4:00 pm, or by appointment
TRIMESTER:
Fall 2010
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.
MODES OF LEARNING INTERACTIONS AND SOURCES OF INFORMATION:
The required textbook is considered merely as an introduction to this course and reflects the
viewpoint of computer scientists within narrow disciplinary confines. In this course, however, we want to
encourage the students to develop a broader outlook. Thus, all students are required to participate in the
collection and interpretation of information that expands beyond the horizons of the discipline. The students
should use traditional resources (books, journals, libraries, etc.) as well as global electronic communication
facilities (internet, telecommunication, multimedia, etc.). The knowledge acquired will be collated
electronically in a hypertext-hypermedia and multimedia environment that can multi-dimensionally be
accessed and transmitted via communication networks.
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 Computer science and MIS
majors, and advanced computer programmers.
TEXTBOOKS & READING MATERIAL:
Required:
Rudloff, W., “Minds and Memories of Men and Machines”, HypertextHypermedia-Multimedia Lecture material developed for this course at:
http://www3.govst.edu/w-rudloff/wkr.htm
Recommended as Optional:
Arnold, W. R. & J. S. Bowie: "Artificial Intelligence: A Personal Commonsense Journey", PrenticeHall, 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:
Team Participation (includes peer judgement)
Midterm Exam
Final Exam
Project
15%
25%
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
02 Sep
09Sep
16 Sep
23 Sep
30 Sep
07 Oct
14 Oct
21 Oct
28 Oct
04 Nov
11 Nov
18 Nov
25 Nov
02 Dec
09 Dec
Topics
Cogito, ergo sum: I think, therefore I am: The Mind, the Brain, and Thinking Machines.
A Discourse on the Puzzle of Intelligence.
Intelligence: Defining the Essence: the brain as signal processor and information store
Smart Machines: Machine Intelligence, Basic Concepts of AI and applications of artificial
intelligence in historical perspective
Talking to machines: Concepts of and programming in AI-oriented languages -- LISP –
PROLOG (Lecture & Lab).
Memory: The Storage Bin of the Mind. Knowledge and Its Representation
Titles for Project are due
The Senses as Windows to the World; Faces and Interfaces: Signals, Perception, Pattern
recognition, and Abstraction
Methinks, I know it all: Midterm Exam
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.
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.
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
The 1st Day of Enlightenment: Presentation of Projects
Holiday: Thanksgiving
The 2nd Day of Enlightenment: Presentation of Projects
The Day of Reckoning: Final Exam
Due Date of Finalized Project
Note: This Syllabus may be downloaded in pdf-form from our website:
http://www3.govst.edu/w-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