连续双拍竞价策略中的自适应软出价确定

Huiye Ma, Ho-fung Leung
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引用次数: 4

摘要

文献中针对连续双重拍卖(CDAs)中的代理人提出了几种投标策略。对于大多数投标策略,确定的要价或出价是很难的,不能妥协。然而,对于人类交易者来说,我们注意到在不同的情况下,决策通常是软的和自适应的。因此,我们认为在招投标策略中融入柔软性和适应性可以提高代理商的绩效。实验结果表明,采用不同竞价策略的智能体在不同情况下进行自适应妥协和软妥协时,其性能总体上有显著提高。为了引导agent在动态未知市场中采用软报价或软报价,提出了一种根据实时市场环境调整软报价或软报价程度的自适应机制。实验结果表明,采用自适应机制的智能体总体上优于不采用自适应机制的智能体
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive soft bid determination in bidding strategies for continuous double auctions
There are several bidding strategies proposed in the literature for agents in continuous double auctions (CDAs). For most bidding strategies, the asks or bids determined are hard and cannot be compromised. However, for human traders, we notice that the decisions are usually soft and adaptive in different situations. Therefore, we believe that integrating softness and adaptivity into the bidding strategies can enhance the performance of agents. Experimental results confirm that when agents using different bidding strategies make adaptive and soft compromise in various situations, their performance is improved significantly in general. In order to guide agents to adopt soft asks or bids in dynamic and unknown markets, an adaptive mechanism is proposed to adjust the degree of softness of soft asks or bids according to the realtime market context. Experiments results show that agents adopting the adaptive mechanism generally outperform the corresponding agents without the adaptive mechanism
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