STS 350
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 held on Friday, April 28. It will
cover
- Handouts on CLIPS (and expert systems in general), Connectionism,
and computation (Turing machine handout)
- Textbook: particularly chapters 3 and 7
- Readings: particularly chapters 3, 4, and 8
Be able to
- Expert Systems
- Architecture of an expert system
- Be able to define terms.
- Be able to write simple facts, templates,
- Connectionism
- Be able to describe how connectionism differs from symbolic AI as an
approach to the problem of building intelligent machines.
- Be able to construct (and sketch) a simple perceptron, and sketch the corresponding
line. Be able to state the perceptron learning theorem, and to give an
example of a problem that can not be solved by a perceptron (and why it can
not be solved by a perceptron).
- Be able to say how a general feed-forward neural network works and how it
can be trained.
- Be able to say what a Hopfield network is.
- Computation
- Be able to define what finite state automata, push-down automata, and
Turing machines are. Be able to work exercises on finite state
automata similar to the homework exercises.
- Be able to say what the Turing-Church hypothesis is and how it relates
to the study of cognitive science.
If you have any questions,
please ask.