7 papers · 1 filter
The complex relationship between anti-immigrant sentiment and exposure in the Netherlands
Benedikt Meylahn, Tommaso Giommoni, Mike Lees +1
We study the relationship between exposure to immigrants and right-wing votes used as a proxy for anti-immigrant sentiment in the Netherlands. Exposure to immigrants is measured us…
The effect of a toroidal opinion space on opinion bi-polarisation
Frank P. Pijpers, Benedikt V. Meylahn, Michel R. H. Mandjes
Many models of opinion dynamics include measures of distance between opinions. Such models are susceptible to boundary effects where the choice of the topology of the opinion space…
Trust in society: A stochastic compartmental model
Benedikt Valentin Meylahn, Koen De Turck, Michel Mandjes
This paper studies a novel stochastic compartmental model that describes the dynamics of trust in society. The population is split into three compartments representing levels of tr…
How social reinforcement learning can lead to metastable polarisation and the voter model
Benedikt V. Meylahn, Janusz M. Meylahn
Previous explanations for the persistence of polarization of opinions have typically included modelling assumptions that predispose the possibility of polarization (i.e., assumptio…
Interpersonal trust: Asymptotic analysis of a stochastic coordination game with multi-agent learning
Benedikt V. Meylahn, Arnoud V. den Boer, Michel Mandjes
We study the interpersonal trust of a population of agents, asking whether chance may decide if a population ends up in a high trust or low trust state. We model this by a discrete…
Opinion dynamics beyond social influence
Benedikt V. Meylahn, Christa Searle
We present an opinion dynamics model framework discarding two common assumptions in the literature: (a) that there is direct influence between beliefs of neighbouring agents, and (…
Trusting: Alone and together
Benedikt V. Meylahn, Arnoud V. den Boer, Michel Mandjes
We study the problem of an agent continuously faced with the decision of placing or not placing trust in an institution. The agent makes use of Bayesian learning in order to estima…