Computer Science 431
Exam #3 review:
Disclaimer: I have attempted to be comprehensive in the following,
but important items may have been omitted by mistake. If you see such
an omission, please let me know, but you are responsible for all of
the lecture material to date.
The third hour exam will be on Thursday, Dec. 5, and will cover
- Textbook: Chapters 7, 9, 10 (10.3 - 10.5), 19 (through perceptrons)
- Notes on expert systems in general and CLIPS in
particular Neural.ppt may also be used for a reference.
Major points:
- Be able to translate English statements into statements in the predicate
logic, and be able to give English translations of statements in the
predicate logic.
- Be able to do basic unification, Skolemization, and resolution
theorem proving in the predicate calculus.
- Be able to write basic Prolog programs (to the extent done in
homework exercises).
- Be able to describe the architecture of an expert system, and
to write templates and rules for CLIPS.
- Be able to describe the use of confidence factors, fuzzy
variables, and fuzzy logic in fuzzy clips. You will not be asked
to actually write fuzzy productions or facts (but perhaps to
explain a sample).
- Know the perceptron learning theorem and be able to work a problem in
perceptron learning (see perceptron.xls)
- Be able to describe the Chinese Room experiment and say what it is
intended to demonstrate. *NEW*
Any questions? Please ask!
-Bob