We introduce the adaptive team of agents (ATA), a system of homogeneous agents with identical control policies which nevertheless adopt heterogeneous roles appropriate to their environment. ATAs have applications in domains such as games, and can be evolved through neuroevolution. In this paper we show how ATAs can be evolved to solve the problem posed by a simple strategy game and discuss their application to richer environments.