Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/54436
Type: Artigo de periódico
Title: An information-theoretic-based (MaxEnt) approach to social dynamical systems
Author: Luzzi, R
Mesquita, MV
Madureira, JR
Abstract: Jeffreys-Jaynes' Predictive Statistics appears to provide a promising approach for the study of general dynamical systems. We describe an application of such theory to the analysis of the dynamics of interacting social groups. For that purpose the said statistical theory is redirected towards the construction of an equivalent stochastic theory. The working of the formalism is illustrated by applying it to a simplified case of opinion forming in a two-candidates election.
Subject: MaxEnt formalism
Predictive Statistics
stochastic methods
Dynamical System Theory
social diversity
dynamics of voting
Country: EUA
Editor: Taylor & Francis Inc
Rights: fechado
Date Issue: 2001
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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