DocumentCode
2831254
Title
Adaptive soft bid determination in bidding strategies for continuous double auctions
Author
Ma, Huiye ; Leung, Ho-fung
Author_Institution
Dept. of Comput. Sci. & Eng., The Chinese Univ. of Hong Kong
fYear
2005
fDate
16-16 Nov. 2005
Lastpage
98
Abstract
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
Keywords
electronic commerce; software agents; adaptive mechanism; adaptive soft bid determination; bidding strategies; continuous double auctions; soft asks; soft bids; Application software; Artificial intelligence; Computer science; Electricity supply industry; Electronic commerce; Humans; Licenses; Resource management; Software agents;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence, 2005. ICTAI 05. 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1082-3409
Print_ISBN
0-7695-2488-5
Type
conf
DOI
10.1109/ICTAI.2005.27
Filename
1562921
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