Prediction of Ideas Number During a Brainstorming Session

Hassan Ait Haddou (), Guy Camilleri () and Pascale Zaraté ()
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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

Group Decision and Negotiation, 2014, vol. 23, issue 2, No 6, 298 pages

Abstract: 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.

Keywords: Dynamic model; Brainstorming; Parameters calculation of dynamic models; Optimization models; Prediction (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10726-012-9312-8

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