2026-09-19T13:11:28Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/291692022-01-13T07:55:03Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Pattie Maes.
Morris, Joan, 1973-
Massachusetts Institute of Technology. Dept. of Architecture. Program in Media Arts and Sciences.
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2005-09-27T21:01:30Z
2005-09-27T21:01:30Z
2001
2001
http://hdl.handle.net/1721.1/29169
49676094
Thesis (S.M.)--Massachusetts Institute of Technology, Program in Media Arts & Sciences, 2001.
Includes bibliographical references (p. 73-75).
By employing dynamic pricing, the act of changing prices over time within a marketplace, sellers have the potential to increase their revenue by selling goods to buyers "at the right time, at the right price." Software agents have been used in electronic commerce systems to assist buyers, but there is limited use of selling agents in today's markets. As dynamic pricing systems become necessary as a competitive maneuver and as market mechanisms become large scale and more complex, there is a growing need for pricing agents to be used to automate dynamic pricing, which challenges sellers to improve their understanding of what are the best agent pricing strategies for their marketplaces. This thesis addresses these issues by presenting the Learning Curve Simulator, a market simulator designed for analyzing agent pricing strategies for a market in which a seller has a finite time horizon to sell its inventory. Through an analysis of several pricing strategies using the simulator, I demonstrate how the Learning Curve Simulator can be used as a tool for understanding the relevant factors in determining an effective dynamic pricing strategy. This simulation-based approach to dynamic pricing demonstrates a technique which can lead to the implementation of dynamic pricing strategies in real world markets.
by Joan Morris.
S.M.
75 p.
4688045 bytes
4687803 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Architecture. Program in Media Arts and Sciences.
A simulation-based approach to dynamic pricing
Thesis
application/pdf
Publication
unknown
unknown
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<Abstract>By employing dynamic pricing, the act of changing prices over time within a marketplace, sellers have the potential to increase their revenue by selling goods to buyers "at the right time, at the right price." Software agents have been used in electronic commerce systems to assist buyers, but there is limited use of selling agents in today's markets. As dynamic pricing systems become necessary as a competitive maneuver and as market mechanisms become large scale and more complex, there is a growing need for pricing agents to be used to automate dynamic pricing, which challenges sellers to improve their understanding of what are the best agent pricing strategies for their marketplaces. This thesis addresses these issues by presenting the Learning Curve Simulator, a market simulator designed for analyzing agent pricing strategies for a market in which a seller has a finite time horizon to sell its inventory. Through an analysis of several pricing strategies using the simulator, I demonstrate how the Learning Curve Simulator can be used as a tool for understanding the relevant factors in determining an effective dynamic pricing strategy. This simulation-based approach to dynamic pricing demonstrates a technique which can lead to the implementation of dynamic pricing strategies in real world markets.</Abstract>
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