Date of Award


Publication Type

Master Thesis

Degree Name



Computer Science

First Advisor

Saba, Walid S.,


Computer Science.




Agent technology evolved from a number of disciplines such as object technology, distributed computing and artificial intelligence. There is currently a growing need to develop intelligent agents that engage in buying and selling in virtual marketplaces owing to exponential growth of e-commerce. For e-commerce to become a reality, and before users can trust software agents to buy and sell items on their behalf, some "intelligence" that makes humans good buyers and sellers must be simulated. In this thesis report we suggest a prototype of a virtual marketplace where agents negotiate to buy and sell goods. The agents in this framework represent the three important attributes of mental state (attitude) of their clients. These agents learn limitedly from their previous experiences and adjust their attitude. Learning from experience is modeled using Case Based Reasoning (CBR) Techniques. Our proposed framework suggests that it is possible to build software agents, which model limited aspects of negotiation in buying and selling. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2001 .S28. Source: Masters Abstracts International, Volume: 40-03, page: 0728. Adviser: Walid S. Saba. Thesis (M.Sc.)--University of Windsor (Canada), 2001.