# Social learning in a simple task allocation game

**Authors:** Rui Chen, Garcia Julian, Meyer Bernd

arXiv: 1702.05739 · 2017-02-21

## TL;DR

This paper explores how social interactions and learning mechanisms influence task specialization in colonies, using evolutionary game theory and simulations to reveal conditions favoring specialists or generalists.

## Contribution

It introduces a simple task-allocation game and demonstrates how different social learning processes lead to diverse colony structures under ecological variations.

## Key findings

- Social learning can produce specialized or generalized colonies.
- Introspective learning favors specialization.
- Task recruitment promotes generalization.

## Abstract

We investigate the effects of social interactions in task al- location using Evolutionary Game Theory (EGT). We propose a simple task-allocation game and study how different learning mechanisms can give rise to specialised and non- specialised colonies under different ecological conditions. By combining agent-based simulations and adaptive dynamics we show that social learning can result in colonies of generalists or specialists, depending on ecological parameters. Agent-based simulations further show that learning dynamics play a crucial role in task allocation. In particular, introspective individual learning readily favours the emergence of specialists, while a process resembling task recruitment favours the emergence of generalists.

## Full text

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## Figures

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## References

15 references — full list in the complete paper: https://tomesphere.com/paper/1702.05739/full.md

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Source: https://tomesphere.com/paper/1702.05739