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Multi-agent Based simulation for Decision-Making: an application to Rungis food market

Philippe Caillou 1, 2 Tiago Baptista 3 Corentin Curchod 4
2 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : In this paper, we present our first results obtained with a multi-agent based simulation of the fruit and vegetable Rungis market. Our goal is to simulate negotiation and price formation based on observed strategies on the real market. We aim to understand negotiation and price formation mechanisms, and explain their impact on macro variables (like the difference between the official price and the average price used on the market).
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https://hal.inria.fr/inria-00288111
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Submitted on : Friday, June 13, 2008 - 6:44:11 PM
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Philippe Caillou, Tiago Baptista, Corentin Curchod. Multi-agent Based simulation for Decision-Making: an application to Rungis food market. GDN 2008, Jun 2008, Coimbra, Portugal. pp.193-194. ⟨inria-00288111⟩

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