By Michael P. Wellman

ISBN-10: 026223260X

ISBN-13: 9780262232609

E-commerce more and more presents possibilities for self sustaining bidding brokers: computing device courses that bid in digital markets with out direct human intervention. computerized bidding innovations for an public sale of a unmarried sturdy with a identified valuation are quite hassle-free; designing recommendations for simultaneous auctions with interdependent valuations is a extra complicated venture. This ebook offers algorithmic advances and approach principles inside an built-in bidding agent structure that experience emerged from fresh paintings during this fast-growing sector of study in academia and undefined. The authors research a number of novel bidding ways that built from the buying and selling Agent festival (TAC), held each year considering 2000. The benchmark problem for competing agents--to purchase and promote a number of items with interdependent valuations in simultaneous auctions of other types--encourages opponents to use cutting edge recommendations to a typical job. The e-book lines the evolution of TAC and follows chosen brokers from notion via numerous competitions, offering and reading particular algorithms built for self reliant bidding. self sustaining Bidding brokers presents the 1st built-in therapy of tools during this quickly constructing area of AI. The authors--who brought TAC and created a few of its so much profitable agents--offer either an summary of present study and new effects. Michael P. Wellman is Professor of machine technology and Engineering and member of the synthetic Intelligence Laboratory on the collage of Michigan, Ann Arbor. Amy Greenwald is Assistant Professor of laptop technology at Brown collage. Peter Stone is Assistant Professor of laptop Sciences, Alfred P. Sloan learn Fellow, and Director of the educational brokers team on the college of Texas, Austin. he's the recipient of the foreign Joint convention on man made Intelligence (IJCAI) 2007 pcs and proposal Award.