University of Houston

Department of Computer Science

 

 

In partial fulfillment of the Requirements for the Degree of

Master of Science

 

 

Chetna Mhatre

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.