Learning in a community of practice: Complete vs. incomplete information
AbstractThis paper is a contribution to the modelling of interactions within social networks. We use an agentbased model to explore the learning process, in a particular form of social network: a community of practice. It is based on an empirical study, made in a research centre in France. We shed light on the importance of two parameters in learning in communities: the availability of the community members, and the information they have about their neighbourhood. The first parameter represents their willingness and engagement in the development of their community, whereas the second one gives us an idea on agents’ ability to build a correct shared representation of the competencies of the other agents. We lead two sets of simulations, simulations with complete information and simulations with incomplete information.
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Bibliographic InfoPaper provided by Department of Research, Ipag Business School in its series Working Papers with number 2014-176.
Length: 15 pages
Date of creation: 25 Feb 2014
Date of revision:
learning; interaction; competencies; community of practice; agent-based model.;
Other versions of this item:
- Widad Guechtouli, 2006. "Learning in a community of practice : Complete vs. incomplete information," Working Papers halshs-00410764, HAL.
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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"Imitation and Efficient Contagion,"
23430, University Library of Munich, Germany.
- Tristan Boyer & Nicolas Jonard, 2014. "Imitation and Efficient Contagion," Working Papers 2014-052, Department of Research, Ipag Business School.
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