Order to Disorder Transitions in Hybrid Intelligent Systems: a Hatch to the Interactions of Nations -Governments

TL;DR

This paper explores how hybrid intelligent systems modeled as complex networks can simulate societal and financial transitions from order to disorder, highlighting the impact of connectivity parameters on system behavior.

Contribution

It introduces a novel framework linking hybrid intelligent systems with government-society interactions and financial market dynamics, demonstrating order-disorder transitions.

Findings

Connectivity parameter changes induce society-like transitions.

Hybrid systems can model financial market fluctuations.

Order to disorder transitions are reproducible in MACIPS.

Abstract

In this study, under general frame of MAny Connected Intelligent Particles Systems (MACIPS), we reproduce two new simple subsets of such intelligent complex network, namely hybrid intelligent systems, involved a few prominent intelligent computing and approximate reasoning methods: self organizing feature map (SOM), Neuro-Fuzzy Inference System and Rough Set Theory (RST). Over this, we show how our algorithms can be construed as a linkage of government-society interaction, where government catches various fashions of behavior: solid (absolute) or flexible. So, transition of such society, by changing of connectivity parameters (noise) from order to disorder is inferred. Add to this, one may find an indirect mapping among financial systems and eventual market fluctuations with MACIPS.