UMBCTAC: A Balanced Bidding Agent
| dc.contributor.author | Ding, Li | |
| dc.contributor.author | Shi, Yongmei | |
| dc.contributor.author | Ding, Zhongli | |
| dc.contributor.author | Pan, Rong | |
| dc.contributor.author | Finin, Tim | |
| dc.date.accessioned | 2018-12-19T20:38:52Z | |
| dc.date.available | 2018-12-19T20:38:52Z | |
| dc.date.issued | 2002-12-14 | |
| dc.description.abstract | UMBCTAC is one of the top ranking agents in the 3rd International Trading Agent Competition (TAC). A TAC game has multiple auctions running on different but interrelated resources simultaneously, and 8 trading agents will compete with each other for optimal result – making maximum profit. The spirit of simplicity and balance is used as a guideline to solve the dynamical optimization problem in TAC game. The hotel/airline auctions and the entertainment ticket auctions are handled separately by applying early bird heuristic. A gain-risk model is used to select a good, safe resource allocation for the clients in hotel/airline auctions. A fast and simple probabilistic approach is used to handle entertainment ticket auctions. | en_US |
| dc.description.uri | https://ebiquity.umbc.edu/paper/html/id/140/UMBCTAC-A-Balanced-Bidding-Agent | en_US |
| dc.format.extent | 14 pages | en_US |
| dc.genre | technical reports | en_US |
| dc.identifier | doi:10.13016/m20vqj-9gxo | |
| dc.identifier.uri | http://hdl.handle.net/11603/12326 | |
| dc.language.iso | en_US | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.subject | balance heuristic | en_US |
| dc.subject | early bird heuristic | en_US |
| dc.subject | trading agent competition (TAC) | en_US |
| dc.subject | UMBC Ebiquity Research Group | en_US |
| dc.title | UMBCTAC: A Balanced Bidding Agent | en_US |
| dc.type | Text | en_US |