Collective Increase of First Impression Bias

Authored by Sylvie Huet, Guillaume Deffuant

DOI: 10.1002/cplx.20299

Sponsors: No sponsors listed

Platforms: No platforms listed

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

Abstract

We propose a sun pie model of first impression bias (FIB), where agents tend to ignore features which contradict their initial view. We consider a population of agents which are all in contact with a media, communicating randomly chosen features of an object. In some cases, we observe on simulations that FIB is significantly more frequent when the agents interact with each other than when they are only in contact with the media. We design an analytical aggregated model of the global agent-based model behavior which helps to explain the higher number of FIB due to the interactions. (C) 2009 Wiley Periodicals, Inc. Complexity 15: 25-33, 2010

Tags

Agent-based model Individual-based model networks aggregated model collective effects of interactions information filtering