Cambridge Colloquium on Complexity
and Social Networks (CCCSN)
COMPLEXITY THEORY
Complexity theory involves the study of systems of actors that interact
in a decentralized fashion, yielding (sometimes) surprising non-linear
emergent behavior at the systemic level. A classic example of this
is Schelling’s work on segregation, which illustrated that
mild preferences of individuals to be with like others could yield
highly segregated social systems (Click
for simulations). Applications of complexity theory often involve
agent-based simulation models—which incorporate simple ideas
about agent behavior and interaction in order to examine resulting
systemic patterns. These ideas around emergent phenomena crystallized
in multiple disciplines—both scientific and social scientific—
in the 1970s and 1980s.
For useful overviews
see:
- Lars-Erik Cederman, “Computational
Models of Social Forms: Advancing Process Theory,” American
Journal of Sociology, 2005
- Michael Macy, Robb Willer, “From Factors
to Actors: Computational Sociology and Agent-Based Modeling,”
Annual Review of Sociology, 2002
Key centers for complexity research
include the following:
- The Santa Fe Institute:
Founded in 1984, the Santa Fe Institute is the granddaddy of centers
for complexity research. It holds two summer schools, one in Santa
Fe, and one in China.
- The Center
for the Study of Complex Systems at the University of Michigan:
The University of Michigan had many of the key early figures involved
in the development of complexity theory, leading to the founding
of this Center in 1995.
- The
Northwestern Institute on Complex Systems: This is a recent
initiative by Northwestern to pull together researchers from multiple
disciplines at the University who work on complexity-related topics.
Also see:
©
2005 The
President and Fellows of Harvard College
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