Agent-Mediated Electronic Commerce. Designing Trading Strategies and Mechanisms for Electronic Markets AMEC 2013, Saint Paul, MN, USA, May 6, 2013, TADA 2013, Bellevue, WA, USA, July 15, 2013, and AMEC and TADA 2014, Paris, France, May 5, 2014, Revised Selected Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ceppi, Sofia (Επιμελητής έκδοσης), David, Esther (Επιμελητής έκδοσης), Podobnik, Vedran (Επιμελητής έκδοσης), Robu, Valentin (Επιμελητής έκδοσης), Shehory, Onn (Επιμελητής έκδοσης), Stein, Sebastian (Επιμελητής έκδοσης), Vetsikas, Ioannis A. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Σειρά: Lecture Notes in Business Information Processing, 187
• Θέματα: Computer science.; Information technology.; Business > Data processing.; Artificial intelligence.; Application software.; E-commerce.; Computer Science.; e-Commerce/e-business.; IT in Business.; Artificial Intelligence (incl. Robotics).; Computer Appl. in Administrative Data Processing.; Information Systems Applications (incl. Internet).

This volume contains 12 thoroughly refereed and revised papers detailing recent advances in research on designing trading agents and mechanisms for agent-mediated e-commerce. They were originally presented at three events: the Workshop on Agent-Mediated Electronic Commerce (AMEC 2013), co-located wi...

Πίνακας περιεχομένων:

• An Analysis of Power Trading Agent Competition 2014
• Towards Modeling Securities Markets as a Society of Heterogeneous Trading Agents
• A Market-Based Coordinated Negotiation for QoS-Aware Service Selection
• Optimal Agendas for Sequential Negotiations
• An Empirical Analysis of QuiBids’ Penny Auctions
• Analysis of Fairness and Incentives of Profit Sharing Schemes in Group Buying
• Distributed Prediction Markets Modeled by Weighted Bayesian Graphical Games
• A Successful Broker Agent for Power TAC
• Online Double Auction for Perishable Goods
• Designing Tariffs in a Competitive Energy Market Using Particle Swarm Optimization Techniques
• Classification Driven Detection of Opportunistic Bids in TAC SCM
• An Intelligent Learning Mechanism for Trading Strategies for Local Energy Distribution.