Strategies and Heuristics Used by the UMBCTAC Agent in the Third Trading Agent Competition
MARYLAND UNIV BALTIMORE DEPT OF COMPUTER SCIENCE AND ELECTRICAL ENGINEERING
Pagination or Media Count:
The UMBCTAC agent was one of the top ranked agents in the third international Trading Agent Competition TAC02. This paper describes and evaluates the key heuristics used by UMBCTAC. including 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 auctions. We conclude with a description of ongoing and planned work.
- Statistics and Probability
- Operations Research