Trading agents have become a prominent application area in Artificial
Intelligence because of their potential benefits in electronic
commerce, and because they present a stiff challenge to models of
rational decision-making. A wide variety of trading scenarios and
agent approaches have been studied, creating a broad and rich research
area. This workshop will focus on the design and evaluation of trading
agents. Papers on trading agent architectures, decision-making
algorithms, theoretical analysis, empirical evaluations of agent
strategies in negotiation scenarios, and game-theoretic analyses, are
all within the scope of the workshop. See the
Call for Papers for details.
This workshop will be held in conjunction with the 2007 Trading Agent Competition
(TAC-07), with finals held on 7/24 and 7/25 during AAAI-07.
|9:00 - 10:30
||Introductions, demonstrations, and discussion of the 2007
- Alex Rogers: The 2007 TAC-SCM game.
- Peter McBurney: Introduction to the TAC CAT tournament.
- Norman Sadeh, Alberto Sardinha, and David Pardoe: TAC-SCM
- Patrick R. Jordan and Michael P. Wellman, "Best-First Search for
Approximate Equilibria in Empirical Games"
- James Andrews, Michael Benisch, Alberto Sardinha and Norman Sadeh,
"What Differentiates a Winning Agent: An Information Gain Based
Analysis of TAC-SCM"
|13:30 - 15:00
- Jinzhong Niu, Kai Cai, Simon Parsons and Elizabeth Sklar,
"Some Preliminary Results on Competition Between Markets for
- Erik Peter Zawadzki and Kevin Leyton-Brown, "Empirically Testing
Decision Making in TAC SCM"
- John Donaldson, Amy Greenwald, Victor Naroditskiy, and Tyler Odean,
"Marginal Bidding: An Application of the Equimarginal Principle to
Bidding in TAC SCM"
- P. Vytelingum, R. K. Dash, I. A. Vetsikas and N. R. Jennings,
"WhiteDolphin: A TAC Travel Agent"
||Panel: Norman Sadeh, Peter McBurney,
Michael Wellman, and Peter Stone will address three
important questions for our research community:
- What have we learned so far in the process of developing
and analyzing autonomous trading agents?
- Can we articulate a research agenda that will lead to more
significant impact outside the academic trading agent
community, either in business/industry or in the
broader Artificial Intelligence and Economics domains?
- What are some of the advantages and limitations of
competitive benchmarking in advancing the research agenda, and
how could we make our competitions more interesting and
John Collins, University of Minnesota (Chair)
- Ken Brown,
University College Cork
- Maria Fasli,
- Shaheen Fatima,
University of Liverpool
- Enrico Gerding,
University of Southampton
- Amy Greenwald,
- Sverker Janson,
Swedish Institute of Computer Science
- Wolfgang Ketter, Rotterdam School of
Management, Erasmus University
- Kate Larson,
University of Waterloo
- Pericles A. Mitkas, Aristotle University of Thessaloniki
- Tracy Mullen, Penn State University
- Benno Overeinder, Vrije Universiteit Amsterdam
- Julian Padget, University of Bath
- David Pardoe, University of Texas at Austin
- Simon Parsons, Brooklyn College, City University of New York
- Juan Antonio Rodriguez Aguilar, IIIA-CSIC, Catalonia
- Alex Rogers, University of Southampton
- Jeffrey Rosenschein, Hebrew University of Jerusalem
- Norman Sadeh, Carnegie Mellon University
- Alberto Sardinha, Carnegie Mellon University
- Peter Stone, University of Texas at Austin
- Ioannis A. Vetsikas, University of Southampton
- Michael Wellman, University of Michigan
- Dongmo Zhang, University of Western Sydney
- Haizheng Zhang, Penn State University
|Previous TADA workshops