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Automated Multi-Agent Simulation Generation and Validation

Philippe Caillou 1, 2
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 : Multi-agent based simulation (MABS) is increasingly used for so- cial science studies. However, few methodologies and tools ex- ist. A strong issue is the choice of the number of simulation runs and the validation of the results by statistical methods. In this arti- cle, we propose a model of tool which automatically generates and runs new simulations until the results are statistically valid using a chi-square test. The choice of the test configuration allows both a general overview of the variable links and a more specific inde- pendence analysis. We present a generic tool for any RePast-based simulation and apply it on an Academic Labor Market economic simulation.
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https://hal.inria.fr/inria-00545253
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Submitted on : Thursday, December 9, 2010 - 10:21:15 PM
Last modification on : Tuesday, April 21, 2020 - 1:08:29 AM
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  • HAL Id : inria-00545253, version 1

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Philippe Caillou. Automated Multi-Agent Simulation Generation and Validation. PRIMA 2010, Nov 2010, Calcutta, India. pp.398-413. ⟨inria-00545253⟩

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