By D. J. A. Somefun, E. H. Gerding, S. Bohte, J. A. La Poutré (auth.), Peyman Faratin, David C. Parkes, Juan A. Rodríguez-Aguilar, William E. Walsh (eds.)
This booklet constitutes the completely refereed post-proceedings of the fifth overseas Workshop on Agent-Mediated digital trade, AMEC 2003, held in Melbourne, Australia in July 2003 as a part of AAMAS 2003.
The nine revised complete papers provided have been conscientiously chosen from 22 submissions in the course of rounds of reviewing and revision. The papers are geared up in topical sections on automatic negotiation, platforms and mechanism layout, and multi-agent markets.
Read or Download Agent-Mediated Electronic Commerce V. Designing Mechanisms and Systems: AAMAS 2003 Workshop, AMEC 2003, Melbourne, Australia, July 15, 2003, Revised Selected Papers PDF
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Extra info for Agent-Mediated Electronic Commerce V. Designing Mechanisms and Systems: AAMAS 2003 Workshop, AMEC 2003, Melbourne, Australia, July 15, 2003, Revised Selected Papers
2. The system changes rental rate from (250, 260] to (260, 270], then the buyer answers that in this case he only wants to rent for 6 months and that this is highly satisfactory. This results in the following value being inserted in the user’s preference model: ((rate, period),satisf action-degree) = (((260,270],6),highly-satisf actory). This process continues for each of the other rental rate ranges until the user can no longer make any tradeoﬀs. The information acquired in these steps is shown in Fig.
It will encourage the opposite trade according to the current position in a continuous way. The pseudo-code of the price control method is given in Table 3. The currentPosition, which can be a positive or negative integer, records the current holdings of the agent. 0001; currentPosition ← getAgentCurrentPosition() if currentPosition < 0 buyReferencePrice ← buyReferencePrice - currentPosition * priceEncouragement elseif currentPosition > 0 sellReferencePrice ← sellReferencePrice - currentPosition * priceEncouragement placeOrder(BUY, buyReferencePrice, volume); placeOrder(SELL, sellReferencePrice, volume); Table 3.
Perhaps the most related work to ours is that of  that aims to acquire tradeoﬀs. However, there are a number of important diﬀerences. First,  uses heuristic strategies to generate various tradeoﬀs and then asks the user to conﬁrm whether they are acceptable (their aim is to improve the eﬃciency of the acquisition process).