Self-Organized Sociopolitical Interactions as the Best Way to Achieve Organized Patterns in Human Social Systems: Going Beyond the Top-Down Control of Classical Political Regimes

TL;DR

This paper argues that self-organization, rather than top-down control, is the most effective method for creating organized patterns in human social systems, leading to anarchic complex networks.

Contribution

It extends biological self-organization theory to sociopolitical systems, proposing self-organization as the optimal approach for social order.

Findings

Sociopolitical self-organization produces organized social patterns.

Classical regimes struggle with computational complexity in social control.

Anarchic complex networks emerge as the natural structure.

Abstract

The dissertation extrapolates the theory of self-organization in biological organisms to sociopolitical self-organization, in human social systems. It is stated that the latter is the best way to organize human social systems, given their complex nature and the impossibility of the computational dynamics that classical political regimes must perform in order to, unsuccesfully, try to organize human social systems by means of top-down control. Sociopolitical self-organization is presented as the optimal producer of order in human social systems, and it is claimed that anarchic complex networks are the resulting structures.