By Andrew Byde (auth.), Julian Padget, Onn Shehory, David Parkes, Norman Sadeh, William E. Walsh (eds.)
This e-book constitutes the completely refereed post-proceedings of the 4th overseas Workshop on Agent-Mediated digital trade, AMEC 2002, held in Bologna, Italy in July 2002 through the AAMAS 2002 conference.
The 20 revised complete papers awarded including an introductory survey through the quantity editors have been rigorously chosen and enhanced in the course of rounds of reviewing and revision. The publication supplies a distinct review of the cutting-edge of designing mechanisms and platforms for agent-mediated e-commerce- The papers are prepared in topical sections on digital auctions, negotiations, and digital markets.
Read or Download Agent-Mediated Electronic Commerce IV. Designing Mechanisms and Systems: AAMAS 2002 Workshop on Agent-Mediated Electronic Commerce Bologna, Italy, July 16, 2002 Revised Papers PDF
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Extra resources for Agent-Mediated Electronic Commerce IV. Designing Mechanisms and Systems: AAMAS 2002 Workshop on Agent-Mediated Electronic Commerce Bologna, Italy, July 16, 2002 Revised Papers
There may be a threshold beyond which the additional preprocessing steps described by Sandholm become feasible and worthwhile. It is also important to understand the impact of bidtree ordering on combinatorial auctions that do not include side constraints. The arguments about partition size still hold, but the impact may be reduced by preprocessing steps that discover bid dominance and disjoint subsets of bids. edu/magnet. References 1. Arne Andersson, Mattias Tenhunen, and Fredrik Ygge. Integer programming for combinatorial auction winner determination.
The goal of this type of analysis is to nd empirical relationships between search e ort and a variety of problem-size metrics that can be measured or estimated prior to submitting an RFQ. From Figure 10 we can see that at least one estimate of problem size can lead to good predictability. For additional experimental data and a more complete derivation of search-time prediction for the IP solver, see . Bidtree Ordering in IDA* Combinatorial Auction Winner-Determination 5 31 Related Work The combinatorial auction winner determination problem, which is equivalent to weighted set packing, is a well-known NP-hard problem , and it has been under dense investigation in recent years.
N = Question n = infeasible = feasible Fig. 1. Seven value queries are necessary to determine the efﬁcient allocation in the above example (here and in the following, v(rank r) denotes the valuation of the bundle at rank r). To the lower right of the combination nodes, the difference in value from the value of combination (1, 1, 1) is shown. The combination with the smallest difference is the efﬁcient allocation—here represented by the rank combination (3, 1, 1). Note that as long as the nodes (1, 2, 1) and (1, 1, 2) aren’t expanded (because other, at least equally promising nodes where chosen ﬁrst), there is no need to expand the shaded areas either.
Agent-Mediated Electronic Commerce IV. Designing Mechanisms and Systems: AAMAS 2002 Workshop on Agent-Mediated Electronic Commerce Bologna, Italy, July 16, 2002 Revised Papers by Andrew Byde (auth.), Julian Padget, Onn Shehory, David Parkes, Norman Sadeh, William E. Walsh (eds.)