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Des données aux agents : la simulation réaliste de populations diversifiées de clients

Author

Listed:
  • Philippe Mathieu

    (LIFL - Laboratoire d'Informatique Fondamentale de Lille - Université de Lille, Sciences et Technologies - Inria - Institut National de Recherche en Informatique et en Automatique - Université de Lille, Sciences Humaines et Sociales - CNRS - Centre National de la Recherche Scientifique, SMAC - Systèmes Multi-Agents et Comportements - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 - Centrale Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

  • Sébastien Picault

    (LIFL - Laboratoire d'Informatique Fondamentale de Lille - Université de Lille, Sciences et Technologies - Inria - Institut National de Recherche en Informatique et en Automatique - Université de Lille, Sciences Humaines et Sociales - CNRS - Centre National de la Recherche Scientifique, SMAC - Systèmes Multi-Agents et Comportements - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 - Centrale Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

Abstract

The growing use of multiagent-based simulation for modeling systems associated with very large databases, addresses specific issues such as the automatization of parameter identification or knowledge extraction from real data, so as to enhance the confidence in simulation predictions and explanations. In this paper, we pro- pose a method for automatically retrieving behavioral prototypes from statistical measures, in the context of consumer behavior. Endowed with the same overall behavior, the agents are given different profiles based on the data analysis. They are put into a spatially realistic store, where some of their objectives may be unattainable. Though, their purchase reproduce the original clusters. We argue that such techniques are essential to make multi-agent simulations a powerful decision support tool.

Suggested Citation

  • Philippe Mathieu & Sébastien Picault, 2013. "Des données aux agents : la simulation réaliste de populations diversifiées de clients," Post-Print hal-00826405, HAL.
    • Handle: RePEc:hal:journl:hal-00826405
    Note: View the original document on HAL open archive server: https://hal.science/hal-00826405
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    Keywords

    exploration de données; marketing; interactions; simulation multi-agents;
    All these keywords.

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