Artículos de revistas
An information-theoretic-based (MaxEnt) approach to social dynamical systems
Registro en:
Journal Of Mathematical Sociology. Taylor & Francis Inc, v. 25, n. 2, n. 179, n. 224, 2001.
0022-250X
WOS:000171753600003
Autor
Luzzi, R
Mesquita, MV
Madureira, JR
Institución
Resumen
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. 25 2 179 224