Title: Social learning in a simple task allocation game,
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.