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Prediction of Ideas Number During a Brainstorming Session

Author

Listed:
  • Hassan Ait Haddou

    (Institut de Recherche en Informatique de Toulouse, SMAC)

  • Guy Camilleri

    (Institut de Recherche en Informatique de Toulouse, SMAC)

  • Pascale Zaraté

    (Institut de Recherche en Informatique de Toulouse, SMAC)

Abstract

In this paper, we present an approach allowing the prediction of ideas number during a brainstorming session. This prediction is based on two dynamic models of brainstorming, the non-cognitive and the cognitive models proposed by Brown and Paulus (Small Group Res 27(1):91–114, 1996). These models describe for each participant, the evolution of ideas number over time, and are formalized by differential equations. Through solution functions of these models, we propose to calculate the number of ideas of each participant on any time intervals and thus in the future (called prediction). To be able to compute solution functions, it is necessary to determine the parameters of these models. In our approach, we use optimization model for model parameters calculation in which solution functions are approximated by numerical methods. We developed two generic optimization models, one based on Euler’s and the other on the fourth order Runge–Kutta’s numerical methods for the solving of differential equations, and we apply them to the non-cognitive and respectively to the cognitive models. Through some feasibility tests, we show the adequacy of the proposed approach to our prediction context.

Suggested Citation

  • Hassan Ait Haddou & Guy Camilleri & Pascale Zaraté, 2014. "Prediction of Ideas Number During a Brainstorming Session," Group Decision and Negotiation, Springer, vol. 23(2), pages 271-298, March.
    • Handle: RePEc:spr:grdene:v:23:y:2014:i:2:d:10.1007_s10726-012-9312-8
    DOI: 10.1007/s10726-012-9312-8
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    References listed on IDEAS

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    1. Moez Limayem & Gerardine DeSanctis, 2000. "Providing Decisional Guidance for Multicriteria Decision Making in Groups," Information Systems Research, INFORMS, vol. 11(4), pages 386-401, December.
    2. A. Adla & P. Zarate & J.-L. Soubie, 2011. "A Proposal of Toolkit for GDSS Facilitators," Group Decision and Negotiation, Springer, vol. 20(1), pages 57-77, January.
    3. Adriana S. Vivacqua & Leandro Carreira Marques & Marcos S. Ferreira & Jano M. Souza, 2011. "Computational Indicators to Assist Meeting Facilitation," Group Decision and Negotiation, Springer, vol. 20(5), pages 667-684, September.
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    1. Atheer Abdullah Mohammed & Abdul Hafeez-Baig & Raj Gururajan, 2018. "Exploring Processes that are Used for Managing Knowledge in theHigher Education Environment: A Case Study in a Queensland Regional University," International Journal of Business and Economic Affairs (IJBEA), Sana N. Maswadeh, vol. 3(2), pages 73-90.

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