search query: @author Koehler, G.J. / total: 3
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| Author: | Jones, J.L. Koehler, G.J. |
| Title: | Combinatorial auctions using rule-based bids |
| Journal: | Decision Support Systems
2002 : DEC, VOL. 34:1, p. 59-74 |
| Index terms: | Auctions Bidding Internet Models |
| Language: | eng |
| Abstract: | The migration of auctions to the Internet provides a unique opportunity to harness the power of computing to create new auction forms that were previously impossible. This paper describes a new type of combinatorial auction that accepts rule-based bids. Allowing bids in the form of high-level rules relieves the buyer from the burden of enumerating all possible acceptable bundles. The allocation of goods requires solving a complex combinatorial problem, a task that is completely impractical in a conventional auction setting. This study describes simplifying winner determination heuristics developed to make large problems of this nature manageable. |
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