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University of Houston
Department of Computer Science
In partial fulfillment of the Requirements for the Degree of
Master of Science
will defend her thesis
An Object-Oriented
Subsystem for Solving Directional Problems.
Machine
Learning is a branch of the artificial intelligence research. A learning
machine is a computer program that has the power to mimic the intelligence of
human, both in learning and problem solving processes. The project, “A Learning
Program”, ALPS has been initiated to develop a program capable of learning
quantitative knowledge, and applying it to solve problems. This thesis
concentrates on solving problems that have input involving directions. It makes
use of directions to express the positional relationship between objects,
translates this information into a graph and uses it to answer questions.
The
system was designed using the object-oriented paradigm and has been implemented
using the C++ programming language. It has reused many existing classes
developed for problem solving and for storing the input to problems. In
addition, it has reused the different classes that define data, types of data,
concepts, and concept values.
Date: Thursday, April 5,2001
Time: 10.00 AM
Place: 550-PGH
Faculty, students, and the general public are invited.
Thesis Advisor: Dr. Kam-Hoi Cheng.