• Classified by Topic • Classified by Publication Type • Sorted by Date • Sorted by First Author Last Name • Classified by Funding Source •
Adapting Price Predictions in TAC SCM.
David Pardoe and Peter
Stone.
In John Collins, Peyman Faratin, Simon
Parsons, Juan A. Rodriguez-Aguilar, Norman
M. Sadeh, Onn Shehory, and Elizabeth
Sklar, editors, Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis, Lecture Notes in Business
Information Processing, pp. 30–45, Springer Verlag, 2009.
Official version from publisher's
webpage
[PDF]328.7kB [postscript]524.0kB
In agent-based markets, adapting to the behavior ofother agents is often necessary for success. When it is not possibleto directly model individual competitors, an agent may instead modeland adapt to the market conditions that result from competitorbehavior. Such an agent could still benefit from reasoning aboutspecific competitor strategies by considering how various combinationsof these strategies would impact the conditions being modeled. Wepresent an application of such an approach to a specific predictionproblem faced by the agent TacTex in the Trading Agent Competition'sSupply Chain Management scenario (TAC SCM).
@incollection{amec07-tactex,
author = "David Pardoe and Peter Stone",
title = "Adapting Price Predictions in {TAC SCM}",
booktitle = "Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis",
editor="John Collins and Peyman Faratin and Simon Parsons and Juan A.\ Rodriguez-Aguilar and Norman M.\ Sadeh and Onn Shehory and Elizabeth Sklar",
year = "2009",
series="Lecture Notes in Business Information Processing",
volume="13",
publisher="Springer Verlag",
pages="30--45",
abstract="In agent-based markets, adapting to the behavior of
other agents is often necessary for success. When it is not possible
to directly model individual competitors, an agent may instead model
and adapt to the market conditions that result from competitor
behavior. Such an agent could still benefit from reasoning about
specific competitor strategies by considering how various combinations
of these strategies would impact the conditions being modeled. We
present an application of such an approach to a specific prediction
problem faced by the agent TacTex in the Trading Agent Competition's
Supply Chain Management scenario (TAC SCM).",
wwwnote={Official version from <a href="http://www.springerlink.com/content/n16328h11n4572g4/">publisher's webpage</a>},
}
Generated by bib2html.pl (written by Patrick Riley ) on Wed Apr 17, 2024 18:42:49