Lattice-gas Cellular Automaton Modeling of Developing Cell Systems

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.