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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 platforms during which brokers are - ployed consists of discovering strategies to a wide and numerous array of difficulties, bearing on person agent behaviors, interplay, and collective habit. a large choice of digital trade situations and structures, together with agent techniques to those, were studied lately. those stories recommend types that aid the - signal and the research at either the extent of the one agent and the extent of the multiagent process. th This quantity includes revised, chosen papers from the ten Workshop on Agent- Mediated digital trade (AMEC-X), co-located with the seventh foreign Joint convention on self sufficient 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 man made Intelligence (AAAI 2008). the first, and complementary, objective of either workshops used to be to proceed to deliver - gether novel paintings from varied fields that concentrate on modeling, implementation, and overview 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

Aydo˘gan, N. Tas¸demir, and P. Yolum To make the clear understanding of depth limited approach, an example is explained where in the best offer proposed by the producer does not make the limit be updated. After this example, we will deal with another example demonstrating the case that the limit is updated according to the producer’s best offer. As the first example, consider the preference graph in Figure 2. According to the preference graph, the highest depth is equal to five so the limit is equal to two.

In this case, the best offer proposed by the producer is requested by the consumer. 4 Producer’s Strategy for Counter Offer Unless the producer does not own the requested services, it has a tendency to offer a service from its stock, which is most similar to the last request of the consumer. To estimate the similarity, Tversky’s similarity measure [6] comparing two vectors in terms of the number of exactly matching features is used. The formula for this similarity metric is shown in Equation (1) [6].

22 R. Aydo˘gan, N. Tas¸demir, and P. Yolum To make the clear understanding of depth limited approach, an example is explained where in the best offer proposed by the producer does not make the limit be updated. After this example, we will deal with another example demonstrating the case that the limit is updated according to the producer’s best offer. As the first example, consider the preference graph in Figure 2. According to the preference graph, the highest depth is equal to five so the limit is equal to two.

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