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Article Dans Une Revue Studies in History and Philosophy of Science Part A Année : 2022

Network effects in a bounded confidence model

Résumé

The bounded confidence model has become a popular tool for studying communities of epistemically interacting agents. The model makes the idealizing assumption that all agents always have access to all other agents’ belief states. We draw on resources from network epistemology to do away with this assumption. In the model to be proposed, we impose an explicit communication network on a community, due to which each agent has access to the beliefs of only a selection of other agents. A much-discussed result from network epistemology shows that densely connected communication networks are not always preferable to sparser networks. The aim of this paper is to investigate whether there are any noteworthy network effects in a version of the bounded confidence model augmented with communication networks, and in particular whether the aforementioned result from network epistemology can be replicated in that version
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Dates et versions

hal-03921576 , version 1 (04-01-2023)

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Igor Douven, Rainer Hegselmann. Network effects in a bounded confidence model. Studies in History and Philosophy of Science Part A, 2022, 94, pp.56-71. ⟨10.1016/j.shpsa.2022.05.002⟩. ⟨hal-03921576⟩
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