Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets AMEC/TADA 2015, Istanbul, Turkey, May 4, 2015, and AMEC/TADA 2016, New York, NY, USA, July 10, 2016, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ceppi, Sofia (Επιμελητής έκδοσης), David, Esther (Επιμελητής έκδοσης), Hajaj, Chen (Επιμελητής έκδοσης), Robu, Valentin (Επιμελητής έκδοσης), Vetsikas, Ioannis A. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Lecture Notes in Business Information Processing, 271
• Θέματα: Computer science.; E-business.; Electronic commerce.; E-commerce.; Artificial intelligence.; Application software.; Computer Science.; e-Commerce/e-business.; e-Business/e-Commerce.; Artificial Intelligence (incl. Robotics).; Computer Appl. in Administrative Data Processing.; Information Systems Applications (incl. Internet).

This 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 carefull...

Πίνακας περιεχομένων:

• Strategic 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. .