Florin Constantin, David C. Parkes (auth.), John Collins,'s Agent-Mediated Electronic Commerce and Trading Agent Design PDF

By Florin Constantin, David C. Parkes (auth.), John Collins, Peyman Faratin, Simon Parsons, Juan A. Rodriguez-Aguilar, Norman M. Sadeh, Onn Shehory, Elizabeth Sklar (eds.)

ISBN-10: 3540887121

ISBN-13: 9783540887126

ISBN-10: 354088713X

ISBN-13: 9783540887133

This publication constitutes the completely refereed post-conference complaints of the ninth foreign Workshop on Agent-Mediated digital trade, AMEC IX, co-located with the 6th overseas Joint convention on self reliant brokers and Multiagent structures, AAMAS 2007, held in Honolulu, Hawai, in may well 2007, and the fifth Workshop on buying and selling Agent layout and research, TADA 2007, co-located with the Twenty-Second AAAI convention on man made Intelligence, AAAI 2007, held in Vancouver, Canada, in July 2007.

This quantity offers 15 conscientiously revised and chosen papers from those workshops. the first and complementary target of either workshops used to be to proceed to assemble novel paintings from varied fields on modeling, implementation and review of computational buying and selling associations and/or agent recommendations. The papers originating from AMEC specialise in a wide number of concerns on auctions, negotiation, and strategic habit in digital marketplaces. The papers originating from TADA replicate the hassle of the group to layout eventualities the place buying and selling agent designers and industry designers might be pitched opposed to one another.

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Extra resources for Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis: AAMAS 2007 Workshop, AMEC 2007, Honolulu, Hawaii, May 14, 2007, and AAAI 2007 Workshop, TADA 2007, Vancouver, Canada, July 23, 2007, Selected and Revised Papers

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The analysis of sequential auctions for homogeneous objects is very well developed for the special case where no bidder is interested in more than one unit. Work in this category deals primarily with the study of sale price dynamics and shows that even when identical objects are sold in a series, the sale price varies from auction to auction. For instance, Weber [14] showed that in sequential auctions of identical private value objects, the expected sale price is the same for each auction. For sequential auctions with affiliated signals, Milgrom and Weber [10] showed that the expected selling price has a tendency to drift upward in later auctions.

When only one or two games were available, M5 trees produced lower errors, but this result was not statistically significant, suggesting that the optimal choice of learning algorithm is unclear in this case and that further exploration of the issue may be needed. Nevertheless, additive regression was the only machine learning algorithm used by TacTex-06 in the 2006 competition, and it is the algorithm that will be used for the remainder of the paper. 3 Comparing Results for Different Groups of Agents From Figure 3, it appears that about 30 games are needed for training before prediction error reaches its minimum level, and about eight games before the error comes somewhat close to this level.

Stone data from that fraction of the games. We note that this approach may cause a larger fraction of old data to be used than is optimal because evaluations are made using predictors trained on N − 1 games instead of the full N games. In the experiments of this section, we apply this approach of mixing data to the 2006 final round using all games from Groups 1, 2, and 3 of the previous section as the old data. To choose the fraction of old data to use at each step, we test each of 0, 1, 2, 3, 4, and 5 percent as described and choose the best.

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Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis: AAMAS 2007 Workshop, AMEC 2007, Honolulu, Hawaii, May 14, 2007, and AAAI 2007 Workshop, TADA 2007, Vancouver, Canada, July 23, 2007, Selected and Revised Papers by Florin Constantin, David C. Parkes (auth.), John Collins, Peyman Faratin, Simon Parsons, Juan A. Rodriguez-Aguilar, Norman M. Sadeh, Onn Shehory, Elizabeth Sklar (eds.)


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