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The analysis of the behavior of simulation models and the subsequent communication of their results are critical but often neglected activities in simulation modeling. To overcome this issue, this paper proposes an integrated metamodeling approach based on structural equation modeling using the partial least squares algorithm. The suggested method(More)
Learning agents are a useful concept for agent-based simulation. The learning ability increases the autonomy of agents, which may lead them to unforeseen results on the individual (micro) and group (macro) level. Learning is even required to be successful in human complex systems, for which an adaptation to environmental changes is necessary. However,(More)
Social simulation is often described as a multidisciplinary and fast-moving field. This can make it difficult to obtain an overview of the field both for contributing researchers and for outsiders who are interested in social simulation. The Journal for Artificial Societies and Social Simulation (JASSS) completing its tenth year provides a good opportunity(More)