Finding optimal collective strategies using individual-based simulations: colony organization in social insects

摘要

Social insects like ants and bees live in cooperative colonies containing up to millions of individuals. These colonies are sometimes termed 'superorganisms' and have evolved tightly integrated and sophisticated collective behaviours. Differefit species, however, often differ in the type and mechanisms of communication and collective organiza-tion employed. I show here how individual-based models can be used to identify the non-intuitive benefits of different mechanisms of communication and division of labour and how these benefits may depend on the external environment as well as traits of the society itself. This allows us to understand under what ecological conditions particular types of collective organization may have evolved, and thus can also help to explain variation among species.