LEADER 04859nam 2200733 450 001 9910451929403321 005 20200520144314.0 010 $a1-282-09878-0 010 $a9786612098789 010 $a0-262-28595-9 010 $a1-4294-8411-X 035 $a(CKB)1000000000475674 035 $a(OCoLC)648325676 035 $a(CaPaEBR)ebrary10190448 035 $a(SSID)ssj0000108019 035 $a(PQKBManifestationID)11141612 035 $a(PQKBTitleCode)TC0000108019 035 $a(PQKBWorkID)10017448 035 $a(PQKB)10693610 035 $a(MiAaPQ)EBC3338703 035 $a(CaBNVSL)mat06267448 035 $a(IDAMS)0b000064818b446c 035 $a(IEEE)6267448 035 $a(OCoLC)166424989$z(OCoLC)648325676$z(OCoLC)654132932$z(OCoLC)722598363$z(OCoLC)728031799$z(OCoLC)815776573$z(OCoLC)961520757$z(OCoLC)962718971$z(OCoLC)988499714$z(OCoLC)991986581$z(OCoLC)992015529$z(OCoLC)1037455322$z(OCoLC)1037942988$z(OCoLC)1038672676$z(OCoLC)1055360804$z(OCoLC)1058149976$z(OCoLC)1064745786$z(OCoLC)1081295506$z(OCoLC)1083596030 035 $a(OCoLC-P)166424989 035 $a(MaCbMITP)7422 035 $a(Au-PeEL)EBL3338703 035 $a(CaPaEBR)ebr10190448 035 $a(CaONFJC)MIL209878 035 $a(OCoLC)166424989 035 $a(EXLCZ)991000000000475674 100 $a20151223d2007 uy 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aAutonomous bidding agents $estrategies and lessons from the trading agent competition /$fMichael P. Wellman, Amy Greenwald, and Peter Stone 210 1$aCambridge, Massachusetts :$cMIT Press,$dc2007. 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2007] 215 $a1 online resource (251 p.) 225 1 $aIntelligent robotics and autonomous agents series 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-262-23260-X 320 $aIncludes bibliographical references (p. [227]-232) and indexes. 327 $aIntroduction -- The tac travel-shopping game -- Bidding in interdependent markets -- Price prediction -- Bidding with price predictions -- Machine learning and adaptivity -- Market-specific bidding strategies -- Experimental methods and strategic analysis -- Conclusion. 330 $aE-commerce increasingly provides opportunities for autonomous bidding agents: computer programs that bid in electronic markets without direct human intervention. Automated bidding strategies for an auction of a single good with a known valuation are fairly straightforward; designing strategies for simultaneous auctions with interdependent valuations is a more complex undertaking. This book presents algorithmic advances and strategy ideas within an integrated bidding agent architecture that have emerged from recent work in this fast-growing area of research in academia and industry. The authors analyze several novel bidding approaches that developed from the Trading Agent Competition (TAC), held annually since 2000. The benchmark challenge for competing agents--to buy and sell multiple goods with interdependent valuations in simultaneous auctions of different types--encourages competitors to apply innovative techniques to a common task. The book traces the evolution of TAC and follows selected agents from conception through several competitions, presenting and analyzing detailed algorithms developed for autonomous bidding. Autonomous Bidding Agents provides the first integrated treatment of methods in this rapidly developing domain of AI. The authors--who introduced TAC and created some of its most successful agents--offer both an overview of current research and new results. Michael P. Wellman is Professor of Computer Science and Engineering and member of the Artificial Intelligence Laboratory at the University of Michigan, Ann Arbor. Amy Greenwald is Assistant Professor of Computer Science at Brown University. Peter Stone is Assistant Professor of Computer Sciences, Alfred P. Sloan Research Fellow, and Director of the Learning Agents Group at the University of Texas, Austin. He is the recipient of the International Joint Conference on Artificial Intelligence (IJCAI) 2007 Computers and Thought Award. 410 0$aIntelligent robotics and autonomous agents 606 $aElectronic commerce 606 $aIntelligent agents (Computer software) 608 $aElectronic books. 615 0$aElectronic commerce. 615 0$aIntelligent agents (Computer software) 676 $a338.4/3 700 $aWellman$b Michael P.$0972479 701 $aStone$b Peter$f1971-$0972480 701 $aGreenwald$b Amy$0972481 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910451929403321 996 $aAutonomous bidding agents$92211389 997 $aUNINA