Parallel simulation of a stochastic agent/environment interaction model

  • Authors:

  • Makram Bouzid;Vincent Chevrier;Sté/phane Vialle;Franç/ois Charpillet

  • Affiliations:

  • (Correspd.) LORIA UMR 7503, BP 239, 54506 Vand&oelig/uvre-lè/s-Nancy Cedex, France. Tel.: +33 3 83 59 20 51/ Fax: +33 3 83 41 30 79/ E-mail: {bouzidm,chevrier,charp}@loria.fr;LORIA UMR 7503, BP 239, 54506 Vand&oelig/uvre-lè/s-Nancy Cedex, France. Tel.: +33 3 83 59 20 51/ Fax: +33 3 83 41 30 79/ E-mail: {bouzidm,chevrier,charp}@loria.fr;SUPELEC, 2 rue Edouard Belin, 57070 Metz, France. E-mail: Stephane.Vialle@supelec.fr;LORIA UMR 7503, BP 239, 54506 Vand&oelig/uvre-lè/s-Nancy Cedex, France. Tel.: +33 3 83 59 20 51/ Fax: +33 3 83 41 30 79/ E-mail: {bouzidm,chevrier,charp}@loria.fr

  • Venue:
  • Integrated Computer-Aided Engineering
  • Year:
  • 2001

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Abstract

In this article, we address the modeling and simulation of situated agents, together with the unreliability of their sensors and effectors. We propose a model for the simulation of the agent/environment interaction, that integrates uncertainties and errors of agent sensors and effectors. This model is built upon a stochastic modeling of the interaction. We illustrate an application of such a model in the case of simulating a set of mobile autonomous robots evolving in a structured environment (the inside of a building). Moreover, the built simulator has been designed to be executed on parallel computers and we describe its parallel implementation together with major results from a simulation point of view, as well as parallel performances.