This book emerged out of a project initiated and funded by the
Defense Advanced Research Projects Agency (DARPA) that sought to
build on efforts to transform agent-based models into platforms for
predicting and evaluating policy responses to real world challenges
around the world. It began with the observation that social science
theories of human behavior are often used to estimate the
consequences of alternative policy responses to important issues
and challenges. However, alternative theories that remain subject
to contradictory claims are ill suited to inform policy. The vision
behind the DARPA project was to mine the social sciences literature
for alternative theories of human behavior, and then formalize,
instantiate, and integrate them within the context of an
agent-based modeling system. The research team developed an
experimental platform to evaluate the conditions under which
alternative theories and groups of theories applied. The end result
was a proof of concept developed from the ground up of social
knowledge that could be used as an informative guide for policy
analysis. This book describes in detail the process of designing
and implementing a pilot system that helped DARPA assess the
feasibility of a computational social science project on a large
scale.
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