A toy model of faith-based systems evolution

TL;DR

This paper introduces a simple agent-based model to study how faith-based systems evolve within social networks, focusing on transmission dynamics influenced by heritable traits and network conditions.

Contribution

It presents a novel, minimalistic agent-based framework for analyzing faith-based systems evolution considering heritable traits and social network effects.

Findings

Social network structure significantly impacts FBS transmission.

Heritable traits influence the likelihood of FBS adoption.

Model provides insights into the macroscopic evolution of faith-based systems.

Abstract

A simple agent-based model (ABM) of the evolution of faith-based systems (FBS) in human social networks is presented. In the model, each agent subscribes to a single FBS, and may be converted to share a different agent's FBS during social interactions. FBSs and agents each possess heritable quantitative traits that affect the probability of transmission of FBSs. The influence of social network conditions on the intermediate and final macroscopic states is examined.