Lattice-gas Cellular Automaton Modeling of Developing Cell Systems
Andreas Deutsch
Abstract
Andreas Deutsch
Abstract
Cellular automata can be viewed as spatially extended decentralized systems made up of a number of individual components and may serve as simple models of complex systems. Here, we show that a particular cellular automaton class, lattice-gas cellular automata (LGCA), is well suited for the modeling of developing cell systems characterized by motion and interaction of biological cells. As examples, we present LGCA models of adhesion and chemotaxis. We conclude with a detailed discussion on the relevance of LGCA models.
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Cellular automata can be viewed as spatially extended decentralized systems made up of a number of individual components and may serve as simple models of complex systems. Here, we show that a particular cellular automaton class, lattice-gas cellular automata (LGCA), is well suited for the modeling of developing cell systems characterized by motion and interaction of biological cells. As examples, we present LGCA models of adhesion and chemotaxis. We conclude with a detailed discussion on the relevance of LGCA models.
Key concepts: Cellular automaton, Lattice gas automaton, Stochastic cellular automaton, Automaton, Computer science, Lattice (music), Theoretical computer science, Mobile automaton