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

Wellman, Michael P.; Greenwald, Amy; Stone, Peter

 
9780262232609: Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition

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Overview and analysis of algorithmic advances developed within an integrated bidding agent architecture that emerged from recent research in a growing domain of AI.

E-commerce increasingly provides opportunities for autonomous bidding agents: computer programs that bid in electronic markets without direct human intervention. 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. The benchmark challenge for competing agents--to buy and sell multiple goods with interdependent valuations in simultaneous auctions of different types--encourages competitors to apply innovative techniques to a common task. The book traces the evolution of TAC and follows selected agents from conception through several competitions, presenting and analyzing detailed algorithms developed for autonomous bidding. Autonomous Bidding Agents provides the first integrated treatment of methods in this rapidly developing domain of AI. The authors--who introduced TAC and created some of its most successful agents--offer both an overview of current research and new results.

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Informazioni sull?autore

Amy Greenwald is Assistant Professor of Computer Science at Brown University.

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9780262536363: Autonomous Bidding Agents: Strategies and Lessons from the Trading Agent Competition

Edizione in evidenza

ISBN 10:  0262536366 ISBN 13:  9780262536363
Casa editrice: MIT Press, 2007
Brossura