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Trading agents in auction-based tournaments

Author
Cortes, U.; Rodríguez Aguilar, Juan Antonio
Type of activity
Journal article
Journal
Revue des organisations suisses d'informatique - Informatik
Date of publication
2000-01
Number
1
First page
39
Last page
50
Abstract
We present a framework for defining trading scenarios based on fish market auctions: Trading (buyer and seller) heterogeneous (human and software) agents of arbitrary complexity participate in auctions under a collection of standardized market conditions and are evaluated against their actual market performance. We argue that such competitive situations constitute convenient problem domains in which to study issues related with agent architectures in general and agent-based trading strategies in...
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group

Participants