Computational
Modeling of Complex
Adaptive Social Systems
Professors Carley, Miller, and Patty
Understanding the complexity inherent in systems
of interacting, adaptive, thoughtful agents is a
key goal in the social sciences. Computational
models provide a useful portal through which we
can gain a better understanding of such complex
adaptive social systems. CMU faculty have applied
these modeling techniques to key problems in
decision making, economics, organizations,
political science, and technology. Along with
many SDS centered activities, members of our
faculty are active participants in both local and
outside initiatives such as Computational
Analysis of Social and Organizational Systems
(CASOS) and the Graduate
Workshop in Computational Modeling.
Computational
Analysis of Social and Organizational Systems
(CASOS)
casos.ece.cmu.edu
Other
SDS Research Areas:
Technological
Change and Industrial Evolution
Political
Psychology and Economy
Organizations
Behavioral
Decision Research
|
