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A Stochastic Model of Interaction for Situated Agents and its Parallel Implementation

Makram Bouzid 1 Vincent Chevrier 1 Stéphane Vialle François Charpillet 1
1 MAIA - Autonomous intelligent machine
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this article, we address the modeling of uncertainties and errors in the simulation of situated agents. We propose a model of interaction that integrates uncertainties and errors due to effectors and sensors. This model is built upon a stochastic modeling of the interaction between an agent and its environment. We illustrate an application of such a model in 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 parallelization together with major results in terms of speed-up and size-up.
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Submitted on : Tuesday, September 26, 2006 - 8:53:07 AM
Last modification on : Wednesday, February 2, 2022 - 3:59:39 PM


  • HAL Id : inria-00099346, version 1



Makram Bouzid, Vincent Chevrier, Stéphane Vialle, François Charpillet. A Stochastic Model of Interaction for Situated Agents and its Parallel Implementation. International Conference on Artificial and Computational Intelligence for Decision, Control and Automation in Engineering and Industrial Applications - ACIDCA'2000, 2000, Monastir, Tunisie, pp.26-31. ⟨inria-00099346⟩



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