Adaptive agents in a persistent shout double auction
Proceedings of the first international conference on Information and computation economies
An agent-based approach for building complex software systems
Communications of the ACM
Strategic sequential bidding in auctions using dynamic programming
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
On Agent-Mediated Electronic Commerce
IEEE Transactions on Knowledge and Data Engineering
A Fuzzy-Logic Based Bidding Strategy for Autonomous Agents in Continuous Double Auctions
IEEE Transactions on Knowledge and Data Engineering
Speculation Agents for Dynamic Multi-Period Continuous Double Auctions in B2B Exchanges
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 7 - Volume 7
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Probabilistic Automated Bidding in Multiple Auctions
Electronic Commerce Research
Adaptive Soft Bid Determination in Bidding Strategies for Continuous Double Auctions
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
CEC-EEE '06 Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services
An adaptive attitude bidding strategy for agents in continuous double auctions
Electronic Commerce Research and Applications
Price formation and its dynamics in online auctions
Decision Support Systems
Strategic bidding in continuous double auctions
Artificial Intelligence
Bidding Strategies in Agent-Based Continuous Double Auctions
Bidding Strategies in Agent-Based Continuous Double Auctions
Adaptive conceding strategies for automated trading agents in dynamic, open markets
Decision Support Systems
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Software agents can act flexibly in a variety of electronic marketplaces. Continuous Double Auction (CDA) is an efficient and common form of these marketplaces. There are several bidding strategies proposed in the literature for agents to adopt to compute their asks or bids in CDAs. For all of these bidding strategies, starting price has not been taken into account. However, in online auction marketplaces, the starting price is an important parameter for sellers to set and has been discussed many a time in the literature. Given the importance of starting price, the main objective of our work is to explore the effect of starting price on agents using various bidding strategies and how to adjust it adaptively within a dynamic CDA market. Experimental results confirm that when agents set their starting prices at varying values in different market situations, their profit changes significantly no matter which strategy they adopt. In order to guide agents to adjust their starting prices in dynamic and unknown markets, an adaptive mechanism is proposed. Experimental results show that agents adopting the adaptive mechanism generally outperform the corresponding agents without. Furthermore, another set of experiments are carried out to let all the agents use the adaptive mechanism and compete together in one market. Not surprisingly, the profit of agents is observed to drop down a lot in this situation.