UMBC ebiquity

Strategies and heuristics used by the UMBCTAC agent in the third Trading Agent Competition

Authors: Li Ding, Yongmei Shi, Youyong Zou, Zhongli Ding, and Rong Pan

Book Title: Workshop on Trading Agent Design and Analysis, held in conjunction with the Eighteenth International Joint Conference on Artificial Intelligence

Date: August 13, 2003

Abstract: The UMBCTAC agent was one of the top ranked agents in the third international Trading Agent Com-petition (TAC'02). This paper describes and evalu-ates the key heuristics used by UMBCTAC, includ-ing the early bird heuristic, the balance heuristic, and the separation heuristic. We developed a simple gain-risk model to search safe and profitable allocations for hotel rooms and airline tickets. We also used a novel probabilistic approach to dynamically allocate entertainment tickets and bid in entertainment auc-tions. We conclude with a description of ongoing and planned work.

Type: InProceedings

Tags: agent, ecommerce, trading agent, auction

Google Scholar: iBejnQrsHd8J

Number of Google Scholar citations: 3 [show citations]

Number of downloads: 2281

 

Available for download as


size: 334651 bytes
 

Related Projects:

Past Project

 TAGA.