Agent-Mediated Electronic Commerce V. Designing Mechanisms by D. J. A. Somefun, E. H. Gerding, S. Bohte, J. A. La Poutré

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 ebook constitutes the completely refereed post-proceedings of the fifth foreign 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 rigorously chosen from 22 submissions in the course of rounds of reviewing and revision. The papers are prepared in topical sections on computerized negotiation, platforms and mechanism layout, and multi-agent markets.

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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

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From the historical experiments, we can see that both strategies are less adaptable to external factors like important live news release. We hope that we can use the external data indication as risk control mechanism for both of these two strategies in the future. 36 7 Y. Feng, R. Yu, and P. Stone Acknowledgments We thank Professor Michael Kearns and his PLAT group at the University of Pennsylvania for their development of the PLAT simulator and for allowing us to participate in the competitions.

Each time we place a sell order or buy order, the volume size is v. time t0 t1 t2 t3 t4 price p−δ p p+δ p p−δ action — buy buy sell sell holding 0 v 2v v 0 cash 0 −vp −2vp − vδ −vp − vδ −2vδ value 0 0 vδ −vδ −2vδ Table 7. The Basic Strategy over One Cycle. time t0 t1 t2 t3 t4 price p−δ p p+δ p p−δ action — sell sell buy buy holding 0 −v −2v −v 0 cash 0 vp 2vp + vδ vp + vδ 2vδ value 0 0 −vδ vδ 2vδ Table 8. The Reverse Strategy over One Cycle From Tables 7 and 8, we can see that the basic strategy loses $2vδ in one cycle.

They both utilize the fact there are a lot of small spikes in the MSFT price chart, and make profits little by little when placing each order or pair of orders. The market making strategy is a complicated strategy using order book information which is the unique feature of the PLAT simulator. 9 0 500 1000 1500 2000 2500 ÙÖ ¿ ÅË Ì Ë Ö ÈÖ Fig. 9. Market Making Strategy in PLAT Live-data Competition Round 2, Mar. 07, 2003 In the PLAT simulation, there are no tax or commission charges. We utilize this fact and place buy orders and sell orders as frequently as possible.

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