The International Journal
Volume 2, Issue 2, Pages 95-198 (Summer 2003)
This paper investigates the optimal pricing strategies of a selling agent that is randomly matched with several heterogeneous buying agents whose reservation prices are initially unknown. The seller perceives the behaviors of the buying agents through a logistic distribution with unknown parameters. We study the optimal learning by experimentation model of the logistic distribution. We extend this framework to a dynamic pricing model in which the selling agent is randomly matched with buying agents that are able to communicate their purchase experience to other buying agents. We carry out multi-agent system simulations of this dynamic pricing decision problem and we discuss some properties of the price dynamics one can observe on such marketplaces.
Author Keywords:Electronic commerce; Dynamic pricing; Discrete choice model; Autonomous agent; Neighborhood; Multi-agent system simulations
*Corresponding author. Present address: Institute for Advanced Applications of the Internet (IAAI), 12, avenue du Général Leclerc, 13003 Marseilles, France. Tel.: +33-4-9110-8576; fax: +33-4-9110-8561.
"Agents for Business Automation" Ó Research & Development