ATTac-2000: an adaptive autonomous bidding agent
Proceedings of the fifth international conference on Autonomous agents
Designing the Market Game for a Trading Agent Competition
IEEE Internet Computing
Autonomous Bidding Agents in the Trading Agent Competition
IEEE Internet Computing
Implicit Negotiation in Repeated Games
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Designing Bidding Strategies for Trading Agents in Electronic Auctions
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Towards a test‐bed for trading agents in electronic auction markets
AI Communications
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Randomized strategic demand reduction: getting more by asking for less
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Autonomous Bidding Agents in the Trading Agent Competition
IEEE Internet Computing
Implicit Negotiation in Repeated Games
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Self-Enforcing Strategic Demand Reduction
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
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
A polynomial-time nash equilibrium algorithm for repeated games
Proceedings of the 4th ACM conference on Electronic commerce
A polynomial-time Nash equilibrium algorithm for repeated games
Decision Support Systems - Special issue: The fourth ACM conference on electronic commerce
Functional design of games to support natural resource management policy development
Simulation and Gaming
Decision-theoretic bidding based on learned density models in simultaneous, interacting auctions
Journal of Artificial Intelligence Research
ATTac-2000: an adaptive autonomous bidding agent
Journal of Artificial Intelligence Research
A polynomial-time Nash equilibrium algorithm for repeated games
Decision Support Systems - Special issue: The fourth ACM conference on electronic commerce
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We introduce FAucS, a software testbed for studying automated agent bidding strategies in simulated auctions, specifically the United States FCC wireless frequency spectrum auctions. In addition to the complexity of these auctions, which provides ample opportunities for intelligent approaches to bidding, this type of auction has huge commercial importance, each bringing in billions of dollars to governments around the world. We implement straightforward sample agents in FAucS and use them to replicate known beneficial bidding strategies in this type of auction. We then discuss potential in-depth studies of autonomous bidding agent behaviors using FAucS. The main contribution of this work is the implementation, description, and empirical validation of the FAucS testbed. We present it as a challenging and promising AI research domain.