Abstract
It is a common behavior that a group of rational agents cooperate together as a bidder/seller to bid in an auction. How to determine the group bidding price and how to share the profit among the members in a group has been problems that are not studied thoroughly. In time-critical auctions, the problem is getting more complicated since the group has to decide new bidding prices within time limits. Conventional approaches used a centralized mechanism to assign profit share to each bidding agent in the group that usually lead to negative profit of individual bidding agent. We propose a distributed approach called Z-process that allows individual bidding agents to declare their compromised profit share based on their rationalities, and determines the group bidding prices simultaneously. We show that in Z-process there exists a dominant strategy for rational agents that can let them obtain maximum profit. We can also show that the compromised profit of each individual bidding agent by Z-process satisfies each agent's rationality.
| Original language | English |
|---|---|
| Pages (from-to) | 81-91 |
| Number of pages | 11 |
| Journal | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
| Volume | 3371 |
| DOIs | |
| State | Published - 2005 |
| Externally published | Yes |
| Event | 7th Pacific Rim International Workshop on Multi-Agents, PRIMA 2004 - Auckland, New Zealand Duration: 08 08 2004 → 13 08 2004 |
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