首页> 外文会议>Helenic Conference on Artificial Intelligence(AI),(SETN 2006); 20060518-20; Heraklion(GR) >A Long-Term Profit Seeking Strategy for Continuous Double Auctions in a Trading Agent Competition
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A Long-Term Profit Seeking Strategy for Continuous Double Auctions in a Trading Agent Competition

机译:贸易代理商竞争中进行连续两次拍卖的长期获利策略

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This paper presents a new bidding strategy for continuous double auctions (CDA) designed for Mertacor, a successful trading agent, which won the first price in the "travel game" of Trading Agent Competition (TAC) for 2005. TAC provides a realistic benchmarking environment in which various travel commodities are offered in simultaneous online auctions. Among these, entertainment tickets are traded in CDA. The latter, represent the most dynamic part of the TAC game, in which agents are both sellers and buyers. In a CDA many uncertainty factors are introduced, because prices are constantly changing during the game and price fluctuations are hard to be predicted. In order to deal with these factors of uncertainty we have designed a strategy based on achieving a pre-defined long-term profit. This preserves the bidding attitude of our agent and shows flexibility in changes of the environment. We finally present and discuss the results of TAC-05, as well as an analysis of agents performance in the entertainment auctions.
机译:本文介绍了一种为成功交易代理Mertacor设计的新的连续拍卖(CDA)竞标策略,该交易在2005年交易代理竞赛(TAC)的“旅行游戏”中赢得了第一名。TAC提供了一个现实的基准环境同时在线拍卖中提供各种旅行商品。其中,娱乐票以CDA进行交易。后者代表了TAC游戏中最具活力的部分,其中代理商既是卖方又是买方。在CDA中引入了许多不确定性因素,因为价格在游戏过程中不断变化,而且价格波动很难预测。为了应对这些不确定性因素,我们设计了一种基于实现预定的长期利润的策略。这保留了我们代理商的投标态度,并在环境变化中表现出灵活性。最后,我们介绍并讨论TAC-05的结果,以及对代理商在娱乐拍卖中的表现进行分析。

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