In recent years, there has been a growing fascination with decentraliz
ed systems and self-organizing phenomena. Increasingly, people are cho
osing decentralized models for the organizations and technologies that
they construct in the world and for the theories that they construct
about the world. However, even as decentralized ideas spread through t
he culture, there is a deep-seated resistance to such ideas. In trying
to understand patterns in the world, people often assume centralized
control where none exists (e.g., assuming that a ''leader bird'' guide
s the rest of the flock). To probe how people think about decentralize
d systems and to help them develop new ways of thinking about such sys
tems, I developed a programmable modeling environment called StarLogo
with which people can easily create and experiment with decentralized
systems. StarLogo allows users to control the actions and interactions
of thousands of artificial creatures on the computer screen. I descri
be three StarLogo projects created by high-school students. Based on m
y observations of these and other students, I analyze the nature of th
e centralized mindset, and I discuss how people, through engagement wi
th new types of computational tools and activities, can begin to move
beyond the centralized mindset.