Online learning about other agents in a dynamic multiagent system
AGENTS '98 Proceedings of the second international conference on Autonomous agents
The Michigan Internet AuctionBot: a configurable auction server for human and software agents
AGENTS '98 Proceedings of the second international conference on Autonomous agents
iBundle: an efficient ascending price bundle auction
Proceedings of the 1st ACM conference on Electronic commerce
Agent-based simulation of dynamic online auctions
Proceedings of the 32nd conference on Winter simulation
A probabilistic approach to automated bidding in alternative auctions
Proceedings of the 11th international conference on World Wide Web
Cooperation in multi-agent bidding
Decision Support Systems - Special issue: Formal modeling and electronic commerce
Nomad: Mobile Agent System for an Internet-Based Auction House
IEEE Internet Computing
Iterative Combinatorial Auctions: Theory and Practice
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
BiddingBot: A Multiagent Support System for Cooperative Bidding in Multiple Auctions
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
The impact of the web on auctions: some empirical evidence and theoretical considerations
International Journal of Electronic Commerce - Special issue: Developing the business components of the digital economy
C2C Versus B2C: A Comparison of the Winner's Curse in Two Types of Electronic Auctions
International Journal of Electronic Commerce
Bidding Behavior in On-line Auctions: An Examination of the eBay Pokemon Card Market
International Journal of Electronic Commerce
Toward market-driven agents for electronic auction
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A study of online auction sites in Taiwan: product, auction rule, and trading type
International Journal of Information Management: The Journal for Information Professionals
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As the internet grows rapidly, lots of commercial behaviors break the distant and regional restrictions. The online auction is a popular mode that develops rapidly nowadays. Online auction simplifies the complicated negotiation behavior that solely over the product's price rather than full range of values. For example, the proxy bidding is a function of auction websites which support users to bid and depend on the price of products. However, online auction is considered to be too static and truly reflect human's negotiation behaviors. The purpose of this research is to investigate a better algorithm that can reduce the bidding time of online auction. In this algorithm, multi-attributes of user's requirement and bidding terms were considered simultaneously. This approach provides an austere architecture way for users to make business transaction more flexible, and also enhance the benefit of bidding. This study adopts Segment Approach Time Axis Algorithm (SATAA) to simulate segment time bid in online auction. The results display can effectively to save the costs 94% more than the traditional proxy bidding and increase almost 2 multiple opportunity to win the auction goods. Besides, also the method is proved to fit changeful auction market.