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Lattice-Gas Cellular Automaton Modeling of Emergent Behavior in Interacting Cell Populations

  • Haralambos Hatzikirou
  • Andreas Deutsch
Chapter
Part of the Understanding Complex Systems book series (UCS)

Abstract

Biological organisms are complex systems characterized by collective behavior emerging out of the interaction of a large number of components (molecules and cells). In complex systems, even if the basic and local interactions are perfectly known, it is possible that the global (collective) behavior obeys new laws that are not obviously extrapolated from the individual properties. Only an understanding of the dynamics of collective effects at the molecular, and cellular scale allows answers to biological key questions such as: what enables ensembles of molecules to organize themselves into cells? How do ensembles of cells create tissues and whole organisms? Key to solving these problems is the design and analysis of appropriate mathematical models for spatio-temporal pattern formation.

Keywords

Diffusion Tensor Image Cellular Automaton Cellular Automaton Node Density Lattice Boltzmann 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  1. 1.Center for Information Services and High Performance Computing, Technische Universität DresdenDresdenGermany

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