A neural network approach to the simulation of human society

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

A model is proposed for the simulation of human society as a system of highly interconnected units whose behavior is described by a system of coupled differential equations. The stable solutions of this system represent stable formations in society. The concepts of 'social energy' and 'social temperature' are introduced for the description of these stable formations as energy minima. Changes in society are explained as redistributions of the connections between the units. Some simple relationships between political parties are analyzed as examples. The model can be used at different levels, and it can provide help both for the analysis of past political events and for the development of future political strategies.

Original languageEnglish (US)
Pages (from-to)211-220
Number of pages10
JournalQuality and Quantity
Volume25
Issue number2
DOIs
StatePublished - May 1991

Fingerprint

neural network
Neural Networks
simulation
energy
Simulation
Unit
political strategy
Stable Solution
Redistribution
Energy
redistribution
Differential equation
event
Model
Human
Society
Concepts
Relationships
Strategy

ASJC Scopus subject areas

  • Social Sciences(all)
  • Statistics and Probability

Cite this

A neural network approach to the simulation of human society. / Szilagyi, Miklos N.

In: Quality and Quantity, Vol. 25, No. 2, 05.1991, p. 211-220.

Research output: Contribution to journalArticle

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