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Designing Trading Strategies and Mechanisms for Electronic Markets $eAMEC/TADA 2015, Istanbul, Turkey, May 4, 2015, and AMEC/TADA 2016, New York, NY, USA, July 10, 2016, Revised Selected Papers /$fedited by Sofia Ceppi, Esther David, Chen Hajaj, Valentin Robu, Ioannis A. Vetsikas 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (IX, 157 p. 49 illus.) 225 1 $aLecture Notes in Business Information Processing,$x1865-1356 ;$v271 311 $a3-319-54228-1 327 $aStrategic Free Information Disclosure for a Vickrey Auction -- On Revenue-Maximizing Walrasian Equilibria for Multi-Minded Bidders -- Extending Parking Lots with Electricity Trading Agent Functionalities -- Auction Based Mechanisms for Dynamic Task Assignments in Expert Crowdsourcing -- An Effective Broker for the Power TAC 2014 -- Now, Later, or Both: a Closed-Form Optimal Decision for a Risk-Averse Buyer -- Investigation of Learning Strategies for the SPOT Broker in Power TAC -- On the Use of Off-the-Shelf Machine Learning Techniques to Predict Energy Demands of Power TAC Consumers -- A Genetic Algorithmic Approach to Automated Auction Mechanism Design -- AgentUDE: The Success Story of the Power TAC 2014?s Champion. . 330 $aThis book constitutes revised selected papers from the 17th and 18th International Workshop on Agent-Mediated Electronic Commerce, AMEC TADA 2015 and 2016, which took place in Istanbul, Turkey, in May 2015, and in New York City, USA, in July 2016. The 10 papers presented in this volume were carefully reviewed and selected for inclusion in the book. Both workshops aim to present a cross-section of the state of the art in automated electronic markets and encourage theoretical and empirical work that deals with both the individual agent level as well as the system level. Given the breadth of research topics in this field, the range of topics addressed in these papers is correspondingly broad. They range from papers that study theoretical issues, related to the design of interaction protocols and marketplaces, to the design and analysis of automated trading strategies used by individual agents - which are often developed as part of an entry to one of the tracks of the Trading Agents Competition. . 410 0$aLecture Notes in Business Information Processing,$x1865-1356 ;$v271 606 $aElectronic commerce 606 $aArtificial intelligence 606 $aInformation technology$xManagement 606 $aApplication software 606 $ae-Commerce and e-Business 606 $aE-Business 606 $aArtificial Intelligence 606 $aComputer Application in Administrative Data Processing 606 $aComputer and Information Systems Applications 615 0$aElectronic commerce. 615 0$aArtificial intelligence. 615 0$aInformation technology$xManagement. 615 0$aApplication software. 615 14$ae-Commerce and e-Business. 615 24$aE-Business. 615 24$aArtificial Intelligence. 615 24$aComputer Application in Administrative Data Processing. 615 24$aComputer and Information Systems Applications. 676 $a658.84 702 $aCeppi$b Sofia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDavid$b Esther$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHajaj$b Chen$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRobu$b Valentin$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aVetsikas$b Ioannis A$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254838803321 996 $aAgent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets$92175805 997 $aUNINA