Simulation of the Rungis Wholesale Market: Lessons on the Calibration, Validation and Usage of a Cognitive Agent-Based Simulation

Philippe Caillou 1, 2 Corentin Curchod 3 Tiago Baptista 4
1 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
2 LRI - Laboratoire de Recherche en Informatique
3 Audencia Recherche
4 DEI - Departamento de Engenharia Informática / Department of Informatics Engineering
Abstract : We present some methodological lessons and thoughts inferred from a research we are making on a simulation of the Rungis Wholesale Market (in France) using cognitive agents. The implication of using cognitive agents with an objective of realism at the individual level question some of the classical methodological assertions about simulations. Three such lessons are of particular interest: the calibration and validation focus on individuals rather than global values (1); the definition of the simulation model is made independently from the research objectives (2), and without targeting the usual objective of hypothesis simplicity (3).
Document type :
Conference papers
Complete list of metadatas

Cited literature [12 references]  Display  Hide  Download
https://hal.inria.fr/inria-00429616
Contributor : Philippe Caillou <>
Submitted on : Tuesday, November 3, 2009 - 4:44:04 PM
Last modification on : Thursday, April 5, 2018 - 12:30:12 PM
Long-term archiving on : Thursday, June 17, 2010 - 7:14:09 PM

File

RungisIATcourtv5.pdf
Files produced by the author(s)

Identifiers

Collections

INRIA | AUDENCIA | UNAM | UMR8623 | LRI-AO

Citation

Philippe Caillou, Corentin Curchod, Tiago Baptista. Simulation of the Rungis Wholesale Market: Lessons on the Calibration, Validation and Usage of a Cognitive Agent-Based Simulation. IAT 2009, Sep 2009, Milano, Italy. pp.70-73, ⟨10.1109/WI-IAT.2009.129⟩. ⟨inria-00429616⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

587

Files downloads

409

Contact


archive-ouverte@inria.fr