Modeling of Social Transitions Using Intelligent Systems

Abstract

In this study, we reproduce two new hybrid intelligent systems, involve three prominent intelligent computing and approximate reasoning methods: Self Organizing feature Map (SOM), Neruo-Fuzzy Inference System and Rough Set Theory (RST),called SONFIS and SORST. We show how our algorithms can be construed as a linkage of government-society interactions, where government catches various states of behaviors: solid (absolute) or flexible. So, transition of society, by changing of connectivity parameters (noise) from order to disorder is inferred.

References in corpus (3)

• Novel type of phase transition in a system of self-driven particles
• Uncovering the overlapping community structure of complex networks in nature and society
• Mutual Information as a Tool for Identifying Phase Transitions in Dynamical Complex Systems With Limited Data

Cited by in corpus (1)

• Phase transition in SONFIS&SORST