Elements of statistical computing
Elements of statistical computing
Introduction to algorithms
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Distributed rational decision making
Multiagent systems
Economic dynamics of agents in multiple auctions
Proceedings of the fifth international conference on Autonomous agents
Autonomous Bidding Agents in the Trading Agent Competition
IEEE Internet Computing
A Dynamic Programming Model for Algorithm Design in Simultaneous Auctions
WELCOM '01 Proceedings of the Second International Workshop on Electronic Commerce
An Architecture for Assembling Agents that Participate in Alternative Heterogeneous Auctions
RIDE '02 Proceedings of the 12th International Workshop on Research Issues in Data Engineering: Engineering E-Commerce/E-Business Systems (RIDE'02)
A model for the configurable composition and synchronization of complex trading activities
Proceedings of the 2003 ACM symposium on Applied computing
Auction advisor: an agent-based online-auction decision support system
Decision Support Systems
The effects of proxy bidding and minimum bid increments within eBay auctions
ACM Transactions on the Web (TWEB)
An adaptive attitude bidding strategy for agents in continuous double auctions
Electronic Commerce Research and Applications
A mobile auction service based on mobile agents: design and analysis
International Journal of Wireless and Mobile Computing
The segment approach time axis algorithm for proxy bidding application in online auction
MMACTEE'08 Proceedings of the 10th WSEAS International Conference on Mathematical Methods and Computational Techniques in Electrical Engineering
Auction Advisor: an agent-based online-auction decision support system
Decision Support Systems
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This paper presents an approach to develop bidding agents that participate in multiple alternative auctions, with the goal of obtaining an item at the lowest price. The approach consists of a prediction method and a planning algorithm. The prediction method exploits the history of past auctions in order to build probability functions capturing the belief that a bid of a given price may win a given auction. The planning algorithm computes the lowest price, such that by sequentially bidding in a subset of the relevant auctions, the agent can obtain the item at that price with an acceptable probability. The approach addresses the case where the auctions are for substitutable items with different values. Experimental results are reported, showing that the approach increases the payoff of their users and the welfare of the market.