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Reflecting on social influence in networks

Författare

  • Zoé Christoff
  • Jens Ulrik Hansen
  • Carlo Proietti

Redaktör

  • 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.

Avdelning/ar

Publiceringsår

2014

Språk

Engelska

Publikation/Tidskrift/Serie

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

Dokumenttyp

Konferensbidrag

Ämne

  • Philosophy

Conference name

Information Dynamics in Artificial Societies Workshop

Conference date

2014-08-18 - 2014-08-22

Conference place

Tübingen, Germany

Status

Published

Projekt

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

Forskningsgrupp

  • Lund University Information Quality Research Group (LUIQ)