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 e-book 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 offered have been conscientiously chosen from 22 submissions in the course of rounds of reviewing and revision. The papers are equipped in topical sections on computerized negotiation, platforms and mechanism layout, and multi-agent markets.
Read Online 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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Additional resources for Agent-Mediated Electronic Commerce V. Designing Mechanisms and Systems: AAMAS 2003 Workshop, AMEC 2003, Melbourne, Australia, July 15, 2003, Revised Selected Papers
R. Jennings, and N. Shadbolt Fig. 6. Screen shot of result of constraint priority acquisition stage. 23. Step 3. The user is then shown a visual representation of the relative priorities of the diﬀerent constraints (see Fig. 6). If the user is happy with this outcome the acquisition phase is complete. If the user feels the outcome does not reﬂect their true priorities then they can modify their priority allocation until they are satisﬁed. 5 Related Work The background of our work is knowledge acquisition and preference elicitation.
Distance should be less than 15 minutes and rental period should be less than a year). Now, in many cases the negotiation attributes are interlinked and the user needs to make tradeoﬀs between them. To acquire such information, ﬁrstly the system asks the user to assign ideal values to all the attributes. It then makes one of these ideal values worse and asks the user to adjust the other attributes to balance. Moreover, the user is asked to assign a satisfaction degree to each tradeoﬀ alternative.
The MSFT stock price endured high variability during these days due to the aﬀairs related to the war in Iraq. We expect the performances of our agent strategies to be much better if the MSFT stock price is more stable and consistent. Meanwhile, risk control mechanisms should be emphasized to make the strategies more adaptable and proﬁtable. The price control, volume control and combined control methods for the market making strategy were also tested during the same period. There are small diﬀerences between the implementations of the control parameters and Two Stock-Trading Agents: Market Making and Technical Analysis 33 DATE Market Making Reverse Mar21, 2003 25557 7730 Mar24, 2003 -30845 -21602 Mar25, 2003 -4742 -4504 Mar26, 2003 28453 -5525 Mar27, 2003 5856 -21932 Mar28, 2003 13174 -7146 Mar31, 2003 8520 -3489 Apr01, 2003 31144 6500 Apr02, 2003 -34444 6087 Apr03, 2003 -31938 30929 Table 14.
Agent-Mediated Electronic Commerce V. Designing Mechanisms and Systems: AAMAS 2003 Workshop, AMEC 2003, Melbourne, Australia, July 15, 2003, Revised Selected Papers 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.)