The design of agent-mediated electronic trading systems has involved finding solutions to a diverse set of interaction problems, ranging from behavioral to organizational issues, together with their computational, information and system level sub-problems. Models that help in this multi-agent design task have come from varied number of natural and social sciences but perhaps the most influential has been game theoretic, in part because they model interactions bottom-up in terms of the rationality of self interested agent which have a clear, albeit a complex, mapping to computational models.
The primary goal of this workshop is to continue to bring together novel work from diverse fields as Computer Science, Operations Research, Artificial Intelligence and Distributed Systems that focus on modeling, implementation and evaluation of computational trading institution and/or agent strategies over a diverse set of goods. We particularly encourage work that addresses the computational and practical aspects of agent-mediated electronic commerce along the following topics:
Prediction/information markets
Experience with e-commerce systems and markets
Computational aspects of economics, game theory, and voting
Algorithmic mechanism design
Auction and negotiation technology
Formation of supply chains, coalitions, and virtual enterprises
Agency and contract theory in e-commerce
Preferences and decision theory
Peer-to-peer, grid, and other open distributed systems
Software and systems requirements, architectures, and performance
Languages for describing agents, goods, services, and contracts
AI and autonomous agent systems in e-commerce
Automated shopping, trading, and contract management
Recommendation, reputation, and trust systems
Furthermore, this workshop will also welcome position papers discussing that deal with central non-technical issues of agent-mediated electronic commerce. For instance:
technical, economic, social and policy opportunities and challenges of AMEC
business models and markets for AMEC
novel applications
past and future of AMEC technologies
lessons
learnt
We will invite selected papers for an LNCS volume, in a format similar to previous workshops in the AMEC series.
Workshop date: 14 May, 2007
8:45
Introduction & Welcome
8:50 - 10:30
Session 1
Analysing Buyers' and Sellers' Strategic Interactions in Marketplaces: An Evolutionary Game Theoretic Approach
Perukrishnen Vytelingum, Dave Cliff, Nicholas Jennings
Adaptive Sniping for Volatile and Stable Continuous Double Auction Markets
I. E. Toft, A. J. Bagnall
Adapting Price Predictions in TAC SCM
David Pardoe, Peter Stone
On Choosing An Efficient Service Selection Mechanism In Dynamic Environments
Murat Sensoy, Pinar Yolum
10.30-11:00
Coffee
11.00 - 12:30
Session 2
On Revenue-Optimal Dynamic Auctions for Bidders with Interdependent Values
Florin Constantin, David Parkes
Theoretically Founded Optimization of Auctioneer's Revenues in Expanding Auctions
Jonathan Rabin, Onn Shehory
On the Empirical Evaluation of Mixed Multi-Unit Combinatorial Auctions
Meritxell Vinyals, Jesus Cerquides
12:30 - 2:00
Lunch
2.00-3:00
Session 3
Exploiting Hierarchical Goals in Bilateral Automated Negotiation: Empirical Study
Philippe Pasquier, Ramon Hollands, Frank Dignum, Iyad Rahwan, Liz Sonenberg
Traffic Management Based on Negotiations between Vehicles - a Feasibility Demonstration Using Agents
Heiko Schepperle, Klemens Bohm, Simone Forster
3:00-4:00
Short Panel Discussion
4:00-4:30
Coffee
4:30-6:00
Session 4
Sequential Auctions in Uncertain Information Settings
Shaheen Fatima, Michael Wooldridge, Nicholas Jennings
Reducing Interaction Cost: A Mechanism Design Approach
Yunqi Zhang, Kate Larson
Designing bidding strategies in sequential auctions for risk averse agents: a theoretical and experimental investigation
Valentin Robu, Han La Poutre
6:00
End
Program Committee
Martin Bichler, Technical University of Munich, Germany
Chris Brooks, University of San Francisco, USA
Jesus Cerquides, University of Barcelona, Spain
Dave Cliff, University of Southampton, UK
Vincent Conitzer, Duke University, USA
John Debenham, University of Technology, Australia
Ulle Endriss, University of Amsterdam, The Netherlands
Boi Faltings, EPFL, Switzerland
Felix Brandt, University of Munich, Germany
Andrew Gilpin, Carnegie Mellon University, USA
Matthias Klusch, DFKI, Germany
Kate Larson, University of Waterloo, Canada
Nicolas Maudet, University of Paris-Dauphine, France
Pablo Noriega, IIIA-CSIC, Spain
Julian Padget, University of Bath, UK
Sarvapali Ramchurn, University of Southampton, UK
Jeff Rosenschein, Hebrew University, Israel
Rahul Sami, MIT, USA
Jeffrey Shneidman, Harvard University, USA
Carles Sierra, IIIA-CSIC, Spain
Gerry Tesauro, IBM Research, USA
William Walsh, CombineNet Inc, USA
Steven Willmott, UPC, Spain
Peyman
Faratin
Computer
Science and Artificial Intelligence Laboratory
MIT
peyman
"at" mit "dot" edu
Onn
Shehory
IBM
Haifa Research Lab
onn
“at” il “dot” ibm “dot” com
Elizabeth
Sklar
Department
of Computer and Information Science
Brooklyn College
City
University of New York
sklar
“at” sci “dot” brooklyn “dot” cuny “dot” edu
Simon
Parsons
Department
of Computer and Information Science
Brooklyn College
City
University of New York
parsons
“at” sci “dot” brooklyn “dot” cuny “dot” edu
Juan
A. Rodriguez-Aguilar
Institut
d'Investigacio en Intel.ligencia Artificial (IIIA)
Consejo
Superior de Investigaciones Cientificas (CSIC)
jar
"at" iiia "dot" csic "dot" es
Norman
M. Sadeh
ISRI
- School of Computer Science
Carnegie
Mellon University
sadeh
“at” cs “dot” cmu “dot” edu
Juan
A. Rodriguez-Aguilar
Institut d'Investigacio en
Intel.ligencia Artificial (IIIA)
Consejo Superior de
Investigaciones Cientificas (CSIC)
jar "at"
iiia "dot" csic "dot" es