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Titlebook: Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Marke; AMEC 2011, Taipei, T Esther David,Val

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31#
發(fā)表于 2025-3-26 21:50:47 | 只看該作者
32#
發(fā)表于 2025-3-27 05:06:06 | 只看該作者
Testing Adaptive Expectations Models of a Continuous Double Auction Market against Empirical Facts,te are able to reproduce the long memory phenomena. We demonstrate that a model which incorporates contrarian trading strategies results in more dynamic behaviour in steady state, and hence is able to produce more realistic results.
33#
發(fā)表于 2025-3-27 06:04:45 | 只看該作者
34#
發(fā)表于 2025-3-27 09:35:55 | 只看該作者
Acceptance Strategies for Maximizing Agent Profits in Online Scheduling,ults achieved by our online solutions to those generated by the optimal offline solutions; the average-case performance ratios are about 1.1. We also analyze the impact of the ratio between the number of slots and the number of jobs on the difficulty of decisions and the performance of our solutions.
35#
發(fā)表于 2025-3-27 16:15:20 | 只看該作者
1865-1348 ading agents and mechanisms for agent-mediated e-commerce. They were originally presented at the 13th International Workshop on Agent-Mediated Electronic Commerce (AMEC 2011), collocated with AAMAS 2011 in Taipei, Taiwan, or at the 2011 Workshop on Trading Agent Design and Analysis (TADA 2011), coll
36#
發(fā)表于 2025-3-27 18:54:08 | 只看該作者
37#
發(fā)表于 2025-3-28 00:52:51 | 只看該作者
,Non–cooperative Bargaining with Arbitrary One–Sided Uncertainty,sided uncertainty. Our algorithm reduces a bargaining problem to a finite game, solves this last game, and then maps its strategies with the original continuous game. Computational complexity is polynomial with two types, while with more types the problem is hard and only small settings can be solved in exact way.
38#
發(fā)表于 2025-3-28 02:44:13 | 只看該作者
39#
發(fā)表于 2025-3-28 09:47:19 | 只看該作者
https://doi.org/10.1007/978-3-030-63197-0s paper. For the convergence speed analysis, fixed MIP strategy converges faster than AIME in most instances. For SEP’s revenue, AIMD assists SEP to gain more revenue than fixed MIP strategy by experiments. Simultaneously, SEP’s revenue in Vickrey-Clarke-Groves auction (VCG) is the lower bound of that in AIMD.
40#
發(fā)表于 2025-3-28 11:51:33 | 只看該作者
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