Using associative networks to represent adopters' beliefs in a multi-agent model of innovation diffusion

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 a 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 one 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 the product launch. Our approach is illustrated by a simulation of iPod™ diffusion.
Type de document :
Article dans une revue
Advances in Complex Systems, World Scientific, 2008, 11 (2), pp.261-272. 〈10.1142/S0219525908001611〉
Liste complète des métadonnées

Littérature citée [20 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01169951
Contributeur : Lip6 Publications <>
Soumis le : mercredi 26 avril 2017 - 13:18:16
Dernière modification le : samedi 29 avril 2017 - 01:03:00
Document(s) archivé(s) le : jeudi 27 juillet 2017 - 12:40:16

Fichier

ST_JDK_ACS08.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Samuel Thiriot, Jean-Daniel Kant. Using associative networks to represent adopters' beliefs in a multi-agent model of innovation diffusion. Advances in Complex Systems, World Scientific, 2008, 11 (2), pp.261-272. 〈10.1142/S0219525908001611〉. 〈hal-01169951〉

Partager

Métriques

Consultations de la notice

193

Téléchargements de fichiers

29