Price prediction in a trading agent competition

Michael P. Wellman; Daniel M. Reeves; Kevin M. Lochner; Yevgeniy Vorobeychik

Price prediction in a trading agent competition

Michael P. Wellman
, Daniel M. Reeves
, Kevin M. Lochner
, Yevgeniy Vorobeychik

Department of Computer Science & Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

The 2002 Trading Agent Competition (TAG) presents a challenging market game in the domain of travel shopping. One of the pivotal issues in this domain is uncertainty about hotel prices, which have a significant influence on the relative cost of alternative trip schedules. We survey agent approaches, rinding an interesting diversity of techniques, taking into account differing sources of evidence bearing on prices. Based on agents' actual predictions in the TAC-02 finals and semifinals, we analyze the relative efficacy of these approaches. Employing a new measure of prediction quality, we relate absolute accuracy to bottom-line performance in the game.

Original language	English
Pages	216-217
Number of pages	2
State	Published - 2003
Event	Proceedings of the 4th ACM Conference on Electronic Commerce - San Diego, CA, United States Duration: Jun 9 2003 → Jun 12 2003

Conference

Conference	Proceedings of the 4th ACM Conference on Electronic Commerce
Country/Territory	United States
City	San Diego, CA
Period	06/9/03 → 06/12/03

Keywords

Price prediction
Trading agents

Cite this

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title = "Price prediction in a trading agent competition",

abstract = "The 2002 Trading Agent Competition (TAG) presents a challenging market game in the domain of travel shopping. One of the pivotal issues in this domain is uncertainty about hotel prices, which have a significant influence on the relative cost of alternative trip schedules. We survey agent approaches, rinding an interesting diversity of techniques, taking into account differing sources of evidence bearing on prices. Based on agents' actual predictions in the TAC-02 finals and semifinals, we analyze the relative efficacy of these approaches. Employing a new measure of prediction quality, we relate absolute accuracy to bottom-line performance in the game.",

keywords = "Price prediction, Trading agents",

author = "Wellman, \{Michael P.\} and Reeves, \{Daniel M.\} and Lochner, \{Kevin M.\} and Yevgeniy Vorobeychik",

year = "2003",

language = "English",

pages = "216--217",

note = "Proceedings of the 4th ACM Conference on Electronic Commerce ; Conference date: 09-06-2003 Through 12-06-2003",

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TY - CONF

T1 - Price prediction in a trading agent competition

AU - Wellman, Michael P.

AU - Reeves, Daniel M.

AU - Lochner, Kevin M.

AU - Vorobeychik, Yevgeniy

PY - 2003

Y1 - 2003

N2 - The 2002 Trading Agent Competition (TAG) presents a challenging market game in the domain of travel shopping. One of the pivotal issues in this domain is uncertainty about hotel prices, which have a significant influence on the relative cost of alternative trip schedules. We survey agent approaches, rinding an interesting diversity of techniques, taking into account differing sources of evidence bearing on prices. Based on agents' actual predictions in the TAC-02 finals and semifinals, we analyze the relative efficacy of these approaches. Employing a new measure of prediction quality, we relate absolute accuracy to bottom-line performance in the game.

AB - The 2002 Trading Agent Competition (TAG) presents a challenging market game in the domain of travel shopping. One of the pivotal issues in this domain is uncertainty about hotel prices, which have a significant influence on the relative cost of alternative trip schedules. We survey agent approaches, rinding an interesting diversity of techniques, taking into account differing sources of evidence bearing on prices. Based on agents' actual predictions in the TAC-02 finals and semifinals, we analyze the relative efficacy of these approaches. Employing a new measure of prediction quality, we relate absolute accuracy to bottom-line performance in the game.

KW - Price prediction

KW - Trading agents

UR - https://www.scopus.com/pages/publications/0242539887

M3 - Paper

AN - SCOPUS:0242539887

SP - 216

EP - 217

T2 - Proceedings of the 4th ACM Conference on Electronic Commerce

Y2 - 9 June 2003 through 12 June 2003

ER -

Price prediction in a trading agent competition

Abstract

Conference

Keywords

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