The Peace Mediator Effect

Daniele Vilone, Timoteo Carletti, Franco Bagnoli, Andrea Guazzini

Research output: Contribution to journalArticle

Abstract

Statistical mechanics has proven to be able to capture the fundamental rules underlying phenomena of social aggregation and opinion dynamics, well studied in disciplines like sociology and psychology. This approach is based on the underlying paradigm that the interesting dynamics of multi-agent systems emerge from the correct definition of few parameters governing the evolution of each individual. In this context, we propose a particular model of opinion dynamics based on the psychological construct
named ’’cognitive dissonance’’. Our system is made of interacting individuals, the agents, each bearing only two dynamical variables (respectively ‘‘opinion’’ and ‘‘affinity’’) selfconsistently adjusted during time evolution. We also define two special classes of interacting entities, both acting for a peace mediation process but via different course
of action: ‘‘diplomats’’ and ‘‘auctoritates’’. The behavior of the system with and without peace mediators (PMs) is investigated and discussed with reference to corresponding psychological and social implications.
Original languageEnglish
Pages (from-to)84-91
JournalPhysica A: Statistical Mechanics and its Applications
Volume462
DOIs
Publication statusPublished - 17 Jun 2016

Fingerprint

Opinion Dynamics
Mediator
Mediation
sociology
Statistical Mechanics
psychology
Multi-agent Systems
Affine transformation
Aggregation
mediation
Paradigm
statistical mechanics
affinity
Model
Context
Psychology
Class

Keywords

  • Opinion dynamics
  • Complex systems
  • Sociophysics
  • Peace mediation

Cite this

Vilone, Daniele ; Carletti, Timoteo ; Bagnoli, Franco ; Guazzini, Andrea. / The Peace Mediator Effect. In: Physica A: Statistical Mechanics and its Applications. 2016 ; Vol. 462. pp. 84-91.
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The Peace Mediator Effect. / Vilone, Daniele; Carletti, Timoteo; Bagnoli, Franco; Guazzini, Andrea.

In: Physica A: Statistical Mechanics and its Applications, Vol. 462, 17.06.2016, p. 84-91.

Research output: Contribution to journalArticle

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