Artificial Intelligence II (CSE 5361) Spring 1999
C++ Edition
Description: This course describes the AI techniques necessary
for an agent to act intelligently in the ``real'' world. Techniques
include uncertainty reasoning, learning, natural language processing,
vision and speech processing. Basic AI techniques (such as search,
knowledge representation and planning) will be reviewed in the context
of the C++ programming language which will be used for implementing
the more advanced techniques. Emphasis will be on implementation and
experimentation with the goal of building robust intelligent
agents.
Prerequisites: Artificial Intelligence I (CSE 5360).
Textbooks: Russell and Norvig, Artificial
Intelligence: A Modern Approach, Prentice Hall, 1995. Tracy
and Bouthoorn,
Object-Oriented Artificial Intelligence Using C++,
W. H. Freeman, 1997.
Grading: 6 Homeworks (70%), Project (30%).
Instructor:
Larry Holder, 330 Nedderman Hall, 272-2596, holder@cse.uta.edu.
Office hours: 1-2, 5-6:30 TuTh.
Handouts
Resources
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
email: holder@cse.uta.edu