A simple cellular automaton model for tumor-immunity system

This article builds a sort of immune system model basing on cellular automata method, in order to simulate the immune response to tumor growth. This paper discusses immune-tumor system at the cellular level, based on the simple two-dimensional stochastic discrete cellular automaton model. In this simple three-layer structure designers take into account the features of the immune response, and regard many different kinds of immune cells as the single immune element. The model describes the interaction between cancer and immune cells, and shows immune cells growth around tumor. The authors study the normal cellular automaton model, and design the evolution growth rules. At last we build discrete cellular automaton model of tumor-immune system, and simulate tumor-immune system on computer. The model predicts the dynamics of the tumor-immune system in agreement with Gompertz growth. Via adjusting different parameters of simulating model, the ultimate results indicate the basal behaviors of tumor-immune system exactly.