10.18453/rosdok_id00001883 Bittig, Arne T. Arne T. Bittig http://d-nb.info/gnd/1129879410 Universität Rostock 2017 000 Generalities, Science 2017 en http://purl.uni-rostock.de/rosdok/id00001883 urn:nbn:de:gbv:28-diss2017-0047-4 Computer simulations of biological cells as well-stirred systems are well established but neglect the spatial distribution of key actors. In this thesis, a simulation algorithm "ML-Space" for spatial models with dynamic hierarchies is presented. It combines stochastic spatial algorithms in discretized space with individual particles moving in continuous space that have spatial extensions and can contain other particles. For formal descriptions of the systems to be simulated spatially, ML-Space provides a rule-based specification language.