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Reflecting on social influence in networks

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Author

  • Zoé Christoff
  • Jens Ulrik Hansen
  • Carlo Proietti

Editor

  • Emiliano Lorini
  • Laurent Perrussel

Summary, in English

This paper builds on the logical model of opinion dynamics under social influence in networks proposed by Liu, Seligman, and Girard (2014) as well as on the generalization proposed by Christoff and Hansen (2013). While both accounts of social influence show interesting dynamics, they both assume that agents do not reflect on how they are affected by such influence. This paper shows that, if agents are allowed to reflect upon the very rules of social influence, they may come to know (or "learn") other agents' private opinions, even though they can only observe their public behavior. To represent formally agents who are able to reason about social influence, a logic of social networks, knowledge, influence, and "learning" is introduced.

Department/s

Publishing year

2014

Language

English

Publication/Series

Proceedings of the Information Dynamics in Artificial Societies Workshop (IDAS 2014)

Document type

Conference paper

Topic

  • Philosophy

Conference name

Information Dynamics in Artificial Societies Workshop

Conference date

2014-08-18 - 2014-08-22

Conference place

Tübingen, Germany

Status

Published

Project

  • Knowledge in a Digital World: Trust, Credibility and Relevance on the Web
  • Logical Modelling of Collective Attitudes and their Dynamics

Research group

  • Lund University Information Quality Research Group (LUIQ)