By Mathijs de Weerdt, Yingqian Zhang (auth.), Wolfgang Ketter, Han La Poutré, Norman Sadeh, Onn Shehory, William Walsh (eds.)

The layout and research of digital trade structures during which brokers are - ployed consists of discovering strategies to a wide and various array of difficulties, relating person agent behaviors, interplay, and collective habit. a wide selection of digital trade situations and structures, together with agent ways to those, were studied lately. those experiences recommend versions that help the - signal and the research at either the extent of the only agent and the extent of the multiagent approach. th This quantity comprises revised, chosen papers from the ten Workshop on Agent- Mediated digital trade (AMEC-X), co-located with the seventh foreign Joint convention on self sustaining brokers and Multiagent platforms (AAMAS 2008), th and from the 6 Workshop on buying and selling Agent layout and research (TADA), - positioned with the twenty third AAAI convention on synthetic Intelligence (AAAI 2008). the first, and complementary, objective of either workshops used to be to proceed to carry - gether novel paintings from diversified fields that concentrate on modeling, implementation, and assessment of computational buying and selling associations and/or agent strategies.

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Additional resources for Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis: AAMAS Workshop, AMEC 2008, Estoril, Portugal, May 12-16, 2008, and AAAI Workshop, TADA 2008, Chicago, IL, USA, July 14, 2008, Revised Selected Papers

Sample text

Furthermore, for each good, the seller has a reservation value res = 8, which gives its estimate resell value in the case the synergy bidder acquires an option for the item, but fails to exercise it. The value of a bundle of {A,B} which the synergy bidder requires, is v(A, B) = 21, which is, on average, 5% more than the local competition. Results for this setting are shown in Fig. 2. There are two main effects to be observed. First, the synergy bidder in such a market always prefers higher exercise prices.

Furthermore, the mechanism proposed by Juda & Parkes requires sellers to be more patient than all synergy bidders present in the market. Priced options have a long history of research in finance (see [1] for an overview). However, the underlying assumption for all financial option pricing models is their dependence on an underlying asset, which has a known public value that moves independently of the actions of individual agents. This type of assumption does not hold for the private values, sequential auctions setting we consider.

It is assumed that an option is only exercised if a bidder has obtained her entire, desired bundle. The local bidders are only interested in Gt , so they will always exercise an option on Gt should they have one. The synergy bidder is only interested in a bundle of all goods, so she will only exercise an option (and pay the corresponding exercise price) if she has options on all the goods required. The option exists out of a fixed exercise price Kt and the synergy bidder’s bids on the option price are OP = (op1 , .

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Agent-Mediated Electronic Commerce and Trading Agent Design by Mathijs de Weerdt, Yingqian Zhang (auth.), Wolfgang Ketter,
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