dc.contributor.author
Guechtouli, Widad
dc.identifier
https://ddd.uab.cat/record/128245
dc.identifier
urn:oai:ddd.uab.cat:128245
dc.description.abstract
In this paper, we study both processes of direct and indirect knowledge transfer, from a modelling perspective, using agent-based models. In fact, there are several ways to model knowledge. We choose to study three different representations, and try to determine which one allows to better capture the dynamics of knowledge diffusion within a social network. Results show that when knowledge is modelled as a binary vector, and not cumulated, this enables us to observe some heterogeneity in agents' learning and interactions, in both types of knowledge transfer.
dc.format
application/pdf
dc.relation
Social Simulation Conference ; 1a : 2014
dc.rights
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
dc.rights
https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject
Knowledge modelling
dc.subject
Knowledge transfer
dc.subject
Social networks
dc.title
Knowledge transfer dynamics : how to model knowledge in the first place?
dc.type
Comunicació de congrés
