Hate: no choice. Agent simulations

TL;DR

This paper presents agent-based simulations exploring the social dynamics leading to hate, including group formation, cooperation failure, biased learning, and conflict escalation, highlighting underlying mechanisms of social division.

Contribution

It introduces four novel simulations modeling social processes at the root of hate, emphasizing the roles of group dynamics, information bias, and conflict.

Findings

Community splits into hostile groups due to preferences.

Cooperation between hostile groups fails.

Bias in learning hinders acceptance of new information.

Abstract

We report our recent simulations on the social processes which -- in our opinion -- lie at the bottom of hate. First simulation deals with the so-called Heider balance where initial purely random preferences split the community into two mutually hostile groups. Second simulation shows that once these groups are formed, the cooperation between them is going to fail. Third simulation provides a numerical illustration of the process of biased learning; the model indicates that lack of objective information is a barrier to new information. Fourth simulation shows that in the presence of a strong conflict between communities hate is unavoidable.