# Discrimination emerging through spontaneous symmetry breaking in a   spatial prisoner's dilemma model with multiple labels

**Authors:** Gorm Gruner Jensen, Frederik Tischel, Stefan Bornholdt

arXiv: 1906.07614 · 2019-12-11

## TL;DR

This paper explores how social discrimination can spontaneously emerge through symmetry breaking in a spatial prisoner's dilemma model with multiple labels, extending previous binary label studies and revealing new tendencies for strategy similarity among neighbors.

## Contribution

It extends the symmetry breaking analysis of social discrimination to models with up to seven labels, demonstrating robustness and discovering increased strategy similarity among neighbors.

## Key findings

- Features from binary label models remain robust with more labels.
- Neighbors tend to have similar strategies for some labels.
- Spontaneous symmetry breaking explains discrimination emergence.

## Abstract

Social discrimination seems to be a persistent phenomenon in many cultures. It is important to understand the mechanisms that lead people to judge others by the group to which they belong, rather than individual qualities. It was recently shown that evolutionary (imitation) dynamics can lead to a hierarchical discrimination between agents marked with observable, but otherwise meaningless, labels. These findings suggest that it can give useful insight, to describe the phenomenon of social discrimination in terms of spontaneous symmetry breaking. The investigations so far have, however, only considered binary labels. In this contribution we extend the investigations to models with up to seven different labels. We find the features known from the binary label model remain remarkably robust when the number of labels is increased. We also discover a new feature, namely that it is more likely for neighbours to have strategies which are similar, in the sense that they agree on how to act towards a subset of the labels.

## Full text

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## Figures

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## References

26 references — full list in the complete paper: https://tomesphere.com/paper/1906.07614/full.md

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Source: https://tomesphere.com/paper/1906.07614