Text: Object-Oreiented Artificial Intelligence using C++, Kim W. Tracy, Peter Bouthoorn, W. H. Freeman and Company, NASA CLIPS documentation
Goals:
The investigate the underpinnings (Logic, NN, GA) of modern AI. To become skilled at applying the major techniques of classical AI (knowledge representations, search, learning, planning. To be aware of major applications of AI.
Prereq: COP2532, COT3101 and COP3670 (database) or consent of instructor.
|
Wk |
Topic |
Reading |
|
Wk |
Topic |
Reading |
|
1 |
Ai Overview, Logic |
C1, C4 |
|
9 |
Natural Language |
C11 |
|
2 |
Logic |
C4 |
|
10 |
Other Reasoning Techniques |
C12 |
|
3 |
CLIPS |
C8 |
|
11 |
Application Areas |
C13 |
|
4 |
Search |
C5 |
|
12 |
PAC Learning & ID3 |
|
|
5 |
Knowledge Representation |
C7 |
|
13 |
NN’s & GA’s |
|
|
6 |
Resolution |
C6 |
|
14 |
COMPETITION |
|
|
7 |
Review & Exam 1 |
|
|
15 |
Review & Exam 2 |
|
|
8 |
Planning |
C10 |
|
16 |
|
|
A few problems from each chapter will be assigned. They must be worked out in detail. They will be kept in a separate folder supplied by me. They may be picked up at any time.
Quizzes
Are un-announced and may cover any lecture material prior to beginning of quiz.
Grading:
Exams: 50%
Homework 30%
Project 15% Game Player
Participation 5% Includes quizzes (if any) and class participation, preparedness etc.
FinalGrade = .5*ExamAvg + .3*HomeworkAvg + .15*ProjectGrade + .05*ParticipationGrade
Scale: A- >= 90, B >= 80, C >= 70, D >=60, F < 60
Policies: