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Wolfgang Ketter. Dynamic Regime Identification and Prediction Based on Observed Behavior in Electronic Marketplaces. In Proc. of the Twentieth National Conference on Artificial Intelligence, pp. 1646–1647, Pittsburgh, July 2005.
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We present a method for an autonomous agent to identify dominant market conditions, such as oversupply or scarcity. The characteristics of economic regimes are learned from historic data and used, together with real-time observable information, to identify the current market regime and to forecast market changes. The approach is validated with data from the Trading Agent Competition for Supply Chain Management.
@InProceedings{Ketter05aaai-dc,
author = {Wolfgang Ketter},
title = {Dynamic Regime Identification and Prediction
Based on Observed Behavior in Electronic Marketplaces},
booktitle = AAAI05,
pages = {1646--1647},
year = {2005},
abstract = "We present a method for an autonomous agent to identify
dominant market conditions, such as oversupply or scarcity. The
characteristics of economic regimes are learned from historic data
and used, together with real-time observable information, to
identify the current market regime and to forecast market changes.
The approach is validated with data from the Trading Agent
Competition for Supply Chain Management. ",
address = {Pittsburgh},
month = {July},
bib2html_pubtype = {Refereed Conference},
bib2html_rescat = {Trading Agents: Supply-Chain Management},
}
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