10.18453/rosdok_id00001883
Bittig, Arne T.
Arne T.
Bittig
http://d-nb.info/gnd/1129879410
ML-Space
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.