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Representing beliefs as associative networks to simulate the diffusion of innovations

Samuel Thiriot 1 Jean-Daniel Kant 1
1 SMA - Systèmes Multi-Agents
LIP6 - Laboratoire d'Informatique de Paris 6
Abstract : A lot of agent-based models were built to study diffusion of innovations. In most of these models, beliefs of individuals about the innovation were not represented at all, or in an highly simplified way. In this paper, we argue that representing beliefs could help to tackle problematics identified for diffusion of innovations, like misunderstanding of information, which can lead to diffusion failure, or diffusion of linked inventions. We propose a formalization of beliefs and messages as associative networks. This representation allows to study the social representations of innovations and to validate diffusion models against real data. It could also make models usable to analyze diffusion prior to product launch. Our approach is illustrated by a simulation of iPod TM diffusion.
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Submitted on : Friday, April 22, 2016 - 11:08:05 AM
Last modification on : Thursday, March 21, 2019 - 1:19:23 PM


  • HAL Id : hal-01306018, version 1


Samuel Thiriot, Jean-Daniel Kant. Representing beliefs as associative networks to simulate the diffusion of innovations. The Fourth European Social Simulation Association Conference, ESSA 2007, Sep 2007, Toulouse, France. pp.193-204. ⟨hal-01306018⟩



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