Artificial Intelligence II (CSE 5361) Spring 1995
Description: This course describes the AI techniques necessary
for an agent to act intelligently in the ``real'' world. Techniques
include natural language processing, uncertainty reasoning, learning,
vision and speech processing. Basic AI techniques (such as search,
knowledge representation and planning) will be reviewed in the context
of learning the Prolog language which will be used for implementing
the more advanced techniques. Emphasis will be on implementation and
experimentation with the goal of building a robust intelligent
Prerequisites: Artificial Intelligence I (CSE 5360).
Textbooks: Russell and Norvig, Artificial
Intelligence: A Modern Approach, Prentice Hall, 1995. Bratko,
PROLOG Programming for Artificial Intelligence, Addison-Wesley,
Grading: 6 Homeworks (50%), 2 Exams (30%), Project (20%).
Larry Holder , 330 Nedderman Hall, 272-2596, email@example.com.
Office hours: Tu 5-6, W 4-5.
- Syllabus (postscript)
- Schedule (postscript)
- Prolog Tutorial (postscript)
- Homework 1 (postscript)
- Homework 2 (postscript)
- Homework 3 (postscript)
- Homework 4 (postscript)
- Homework 5 (postscript)
- Homework 6 (postscript)
- Class Project (postscript)
- Exam I outline (text) and
- Exam II outline (text) and
Lawrence B. Holder
Department of Computer Science and Engineering
University of Texas at Arlington
Box 19015, Arlington, TX 76019-0015
phone: (817) 272-2596, fax: (817) 272-3784