2013
Molina, M. M., Moreno-Armendariz, M. A., & Seck-Tuoh-Mora, J. C. (2013). On the spatial dynamics and oscillatory behavior of a predator-prey model based on cellular automata and local particle swarm optimization. Journal of Theoretical Biology, 336, 173-184.
Abstract
A two-dimensional lattice model based on Cellular Automata theory and swarm intelligence is used to study the spatial and population dynamics of a theoretical ecosystem. It is found that the social interactions among predators provoke the formation of clusters, and that by increasing the mobility of predators the model enters into an oscillatory behavior.
How to Make Dull Cellular Automata Complex by Adding Memory: Rule 126 Case Study
Complex Dynamics Emerging in Rule 30 with Majority Memory
Pair Diagram and Cyclic Properties Characterizing the Inverse of Reversible Automata
Modeling a Nonlinear Liquid Level System by Cellular Neural Networks
Elementary cellular automaton Rule 110 explained as a block substitution system
Reproducing the Cyclic Tag System Developed by Matthew Cook with Rule 110 Using the Phases f(i-)1.
Unconventional invertible behaviors in reversible one-dimensional cellular automata.