The Michigan Internet AuctionBot: a configurable auction server for human and software agents
AGENTS '98 Proceedings of the second 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
Agent-oriented software engineering for successful TAC participation
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Designing the Market Game for a Trading Agent Competition
IEEE Internet Computing
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Assisted visualization of e-commerce auction agents
GRIN'01 No description on Graphics interface 2001
The First International Trading Agent Competition: Autonomous Bidding Agents
Electronic Commerce Research
ATTac-2000: an adaptive autonomous bidding agent
Journal of Artificial Intelligence Research
ATTac-2001: A Learning, Autonomous Bidding Agent
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
Trading strategies for markets: a design framework and its application
AMEC'05 Proceedings of the 2005 international conference on Agent-Mediated Electronic Commerce: designing Trading Agents and Mechanisms
A semantic marketplace of negotiating agents
AP2PC'05 Proceedings of the 4th international conference on Agents and Peer-to-Peer Computing
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The 2001 Trading Agent Competition was the second in a series of events aiming to shed light on research issues in automating trading strategies. Based on a challenging market scenario in the domain of travel shopping, the competition presents agents with difficult issues in bidding strategy, market prediction, and resource allocation. Entrants in 2001 demonstrated substantial progress over the prior year, with the overall level of competence exhibited suggesting that trading in online markets is a viable domain for highly autonomous agents.