CSC 466 - 3 Semester Hours
Topics in Artificial Intelligence
The course will be project-oriented in that each you will be required to engage in a modest, meaningful research project. Projects will consist of explorations of a problem domain by means of LISP or Prolog programs which (1) represent elements of the problem domain, and (2) promote opportunities for experimentation and exploration.
Students will be responsible for crafting a research project from a collection of suggestions. Emphasis will be on defining progress and demonstrating project progress in a very public forum--on a Web page. All required required project elements are to be made available on the Web page on a regular basis.
A research paper based on the research project is also to be written. This paper is to take the form required by some well known real world academic journal for which the work appears to be appropriate.
Structured peer reviews of both oral and web presentations of the research projects, as well as the associated research papers, will be featured in the course.
Topics of significance to Artificial Intelligence which complement the classical ideas presented in the first course will be featured in readings, lectures, discussions, and quizzes.
Upper division Computer Science elective. Taken by most Computer Science B.S. Degree students with the Artificial Intelligence concentration. Required by Cognitive Science B.S. Degree Majors. Taken by most Computer Science B.A. Degree majors as part of their "learning agreement". The course is taken by many Computer Science majors in partial fullfillment of the General Education Writing Across the Curriculum Requirement.
Upon successful completion of this course, students will be able to:
Attend class. Take all exams. Satisfactorily complete a research project and all related activities. Build a Web site which reflects the course and records work completed in the course.
Computing machines and software.
I. Bratko, PROLOG: Programming for Artificial Intelligence, Addison Wesley, 1990.
D. Dennett, Darwin's Dangerous Idea: Evolution and the Meanings of Life, Touchstone: Simon and Schuster, 1995.
W. Hennessey, Common Lisp, McGraw Hill.
M. Mitchel, Genetic Algorithms, The MIT Press, 1992.
P. McCorduck, Machines Who Think, Freeman, 1979.
N. Nilsson, Artificial Intelligence: A New Synthesis, Morgan Kaufmann, 1998.
E. Rich and K. Knight, Artificial Intelligence, McGraw Hill, 1991.
D. Rummelhart, and J. McClelland, Parallel Distributed Processing, MIT Press, 1986.
S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, Prentice Hall, 1995.
H. Simon, The Sciences of the Artificial, The MIT Press, 1996.
M. Spitzer, The Mind within the Net: Models of Learning, Thinking, and Acting, The MIT Press, 1992.
A. Staugaard, Robotics and AI: An Introduction to Applied Mchine Intelligence, Prentice Hall, 1987.
G. Steele, Common LISP, Digital Press, 1984.
N. Stillings, M. Feinstein, J. Garfield, E. Rissland, D. Rosenbaum, S. Weisler, and L. Baker-Ward, Cognitive Science: An Introduction, A Bradford Book: The MIT Press, 1995.
P. Winston, Artificial Intelligence, Addison Wesley, 1977.
M. Yazdani (editor), Artificial Intelligence: Principles and Applications, Chapman and Hall, 1986.