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Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition


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Peter Stone is Professor in the Department of Computer Science, College of Natural Sciences.
View author's profile here.

Automated bidding strategies for an auction of a single good with a known valuation are fairly straightforward; designing strategies for simultaneous auctions with interdependent valuations is a more complex undertaking. This book presents algorithmic advances and strategy ideas within an integrated bidding agent architecture that have emerged from recent work in this fast-growing area of research in academia and industry. The authors analyze several novel bidding approaches that developed from the Trading Agent Competition (TAC), held annually since 2000.



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