Lattice-gas cellular automaton modeling of emergent behavior in interacting cell populations

Haralambos Hatzikirou, Andreas Deutsch

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Scopus citations

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.

Original languageBritish English
Title of host publicationSimulating Complex Systems by Cellular Automata
PublisherSpringer Verlag
Pages301-331
Number of pages31
ISBN (Print)9783642122026
DOIs
StatePublished - 4 May 2010

Publication series

NameUnderstanding Complex Systems
Volume2010
ISSN (Print)1860-0832
ISSN (Electronic)1860-0840

Fingerprint

Dive into the research topics of 'Lattice-gas cellular automaton modeling of emergent behavior in interacting cell populations'. Together they form a unique fingerprint.

Cite this