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Introduction to Reinforcement Learning
Co-evolutionary Auction Mechanism Design: A Preliminary Report
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
Applying evolutionary game theory to auction mechanism design
Proceedings of the 4th ACM conference on Electronic commerce
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Iterative combinatorial auctions: achieving economic and computational efficiency
Iterative combinatorial auctions: achieving economic and computational efficiency
Active Sampling for Class Probability Estimation and Ranking
Machine Learning
Self-interested automated mechanism design and implications for optimal combinatorial auctions
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
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Proceedings of the 8th annual conference on Genetic and evolutionary computation
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ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
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IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
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Decision Support Systems
JCAT: a platform for the TAC market design competition
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers
Evolutionary dynamics for designing multi-period auctions
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Revenue Maximising Adaptive Auctioneer Agent
PRIMA '08 Proceedings of the 11th Pacific Rim International Conference on Multi-Agents: Intelligent Agents and Multi-Agent Systems
IEEE Transactions on Evolutionary Computation - Special issue on computational finance and economics
Evolutionary optimization of ZIP60: a controlled explosion in hyperspace
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
A comparison of sequential and simultaneous auctions
TADA/AMEC'06 Proceedings of the 2006 AAMAS workshop and TADA/AMEC 2006 conference on Agent-mediated electronic commerce: automated negotiation and strategy design for electronic markets
What the 2007 TAC Market Design Game tells us about effective auction mechanisms
Autonomous Agents and Multi-Agent Systems
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Mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, these assumptions may not hold, making bidder behavior difficult to model and complicating the design process. To address this issue, we propose a different approach to mechanism design. Instead of relying on analytic methods that require specific assumptions about bidders, our approach is to create a self-adapting mechanism that adjusts auction parameters in response to past auction results. In this paper, we describe our approach and then present an example of its implementation to illustrate its efficacy.