Title :
Learning of Market Prices Based on Temporal Differences for a TAC-SCM Agent
Author :
Flores, César ; Garrido, Leonardo
Author_Institution :
Tecnol. de Monterrey, Centro de Sist. Inteligentes y Robot., Monterrey
Abstract :
In this work we present a learning method based in temporal differences for learning the market prices for a supply chain manager in the TAC-SCM game scenario. The agent has two learning methods based in temporal differences. In one hand he learns the short term tendency of the market to adjust its prices proportionally to the rise or drop. He also learns a value of probability to elevate the prices proportionally to the excess of real demand.
Keywords :
electronic commerce; game theory; multi-agent systems; pricing; supply chain management; TAC-SCM agent; game scenario; learning method; market prices; supply chain management; temporal differences; trading agent competition; Artificial intelligence; Computer aided manufacturing; Computer science; Conference management; Delay; Design optimization; Learning systems; Supply chain management; Supply chains; Uncertainty; SCM; TAC; learning; price; supply chain;
Conference_Titel :
Artificial Intelligence, 2008. MICAI '08. Seventh Mexican International Conference on
Conference_Location :
Atizapan de Zaragoza
Print_ISBN :
978-0-7695-3441-1
DOI :
10.1109/MICAI.2008.64
