This book gives an overview of the state of the art in five
different approaches to social science simulation on the individual
level. The volume contains microanalytical simulation models
designed for policy implementation and evaluation, multilevel
simulation methods designed for detecting emergent phenomena,
dynamical game theory applications, the use of cellular automata to
explain the emergence of structure in social systems, and
multi-agent models using the experience from distributed artificial
intelligence applied to special phenomena. The book collects the
results of an international conference which brought together
social scientists and computer scientists both engaged in a wide
range of simulation approaches for the first time.
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