Computationally Manageable Combinational Auctions
Management Science
ATTac-2000: an adaptive autonomous bidding agent
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Bidding algorithms for simultaneous auctions
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Layered Learning in Multiagent Systems: A Winning Approach to Robotic Soccer
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Designing the Market Game for a Trading Agent Competition
IEEE Internet Computing
FAucS: An FCC Spectrum Auction Simulator for Autonomous Bidding Agents
WELCOM '01 Proceedings of the Second International Workshop on Electronic Commerce
ATTac-2000: an adaptive autonomous bidding agent
Proceedings of the fifth international conference on Autonomous agents
Bidding algorithms for simultaneous auctions
Proceedings of the 3rd ACM conference on Electronic Commerce
Bid determination in simultaneous actions an agent architecture
Proceedings of the 3rd ACM conference on Electronic Commerce
A probabilistic approach to automated bidding in alternative auctions
Proceedings of the 11th international conference on World Wide Web
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Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
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IEEE Internet Computing
Designing the Market Game for a Trading Agent Competition
IEEE Internet Computing
FAucS: An FCC Spectrum Auction Simulator for Autonomous Bidding Agents
WELCOM '01 Proceedings of the Second International Workshop on Electronic Commerce
Design Tradeoffs for Autonomous Trading Agents
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An Autonomous Bidding Agent for Simultaneous Auctions
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Probabilistic Automated Bidding in Multiple Auctions
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ATTac-2000: an adaptive autonomous bidding agent
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Web Intelligence and Agent Systems
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Designing agents that can bid in online simultaneous auctions is a complex task. The authors describe task-specific details and strategies of agents in a trading agent competition. More specifically, the article describes the task-specific details of and the general motivations behind, the four top-scoring agents. First, we discuss general strategies used by most of the participating agents. We then report on the strategies of the four top-placing agents. We conclude with suggestions for improving the design of future trading agent competitions