Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
A full cellular automaton to simulate predator-prey systems
ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
LATA '09 Proceedings of the 3rd International Conference on Language and Automata Theory and Applications
Conservation of some dynamical properties for operations on cellular automata
Theoretical Computer Science
On the directional dynamics of additive cellular automata
Theoretical Computer Science
Some formal properties of asynchronous callular automata
ACRI'10 Proceedings of the 9th international conference on Cellular automata for research and industry
Sand piles: From physics to cellular automata models
Theoretical Computer Science
Asynchronous cellular automata and dynamical properties
Natural Computing: an international journal
From One-dimensional to Two-dimensional Cellular Automata
Fundamenta Informaticae - From Physics to Computer Science: to Gianpiero Cattaneo for his 70th birthday
Surjective multidimensional cellular automata are non-wandering: A combinatorial proof
Information Processing Letters
Local rule distributions, language complexity and non-uniform cellular automata
Theoretical Computer Science
Natural Computing: an international journal
Multidimensional cellular automata: closing property, quasi-expansivity, and (un)decidability issues
Theoretical Computer Science
m-Asynchronous cellular automata: from fairness to quasi-fairness
Natural Computing: an international journal
Computing Issues of Asynchronous CA
Fundamenta Informaticae
| Hi-index | 0.01 |
We propose a lattice model to describe a predator-prey system where two species with significantly different size are considered. The biological analogy we refer to is the predatory interaction between bacteria and viruses. We assume simple environmental effects altering the dynamics. Preys (bacteria) procreate by mitosis and they do not move. They may die because of natural causes or under the predation. The predation is the consequence of a diffusive phenomenon by the predators (viruses). Predators grow in number by infection and by prey self-immunity diseases, and they die by starvation.