Revenue Maximising Agendas for Sequential English Auctions
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Sequential auctions for objects with common and private values
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Truthful Bundle/Multiunit Double Auctions
Management Science
Maximizing revenue in sequential auctions
WINE'07 Proceedings of the 3rd international conference on Internet and network economics
Sequential auctions for common value objects with budget constrained bidders
Multiagent and Grid Systems - Advances in Agent-mediated Automated Negotiations
Optimal agendas for sequential english auctions with private and common values
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
An analysis of sequential auctions for common and private value objects
AMEC'05 Proceedings of the 2005 international conference on Agent-Mediated Electronic Commerce: designing Trading Agents and Mechanisms
An overview of cooperative and competitive multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
Revenue prediction in budget-constrained sequential auctions with complementarities
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Bidding Behavior in Descending and Ascending Auctions
Marketing Science
| Hi-index | 0.01 |
To date, the largest part of literature on multi-unit auctions has assumed that there arek homogeneous objects being auctioned, where each bidder wishes to win exactly one or all ofk units. These modeling assumptions have made the examination of ordering in sequential auctions inconsequential. The aim of this paper is to introduce and highlight the critical influence that ordering can have on the efficiency of an auction. We study a buyer who outsources via sequential 2nd-price auctions two heterogeneous jobs, and faces a diverse set of suppliers with capacity constraints.