Date of Award
2010
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
School of Computer Science and Engineering
First Advisor
Schubert, Keith Evan
Second Advisor
Gomez, Ernesto
Third Advisor
Botting, Richard
Abstract
The purpose of this project is to provide a visual representation as program output so that the rules and the radius of effect can be estimated. Currently there is a need for a method that extracts the cellular automata rules which simulate the growth patterns of microbial communities found within extreme environments. Contains source code.
Recommended Citation
Quintana, Melissa Marie, "Cellular automata rules generator for microbial communities" (2010). Theses Digitization Project. 3832.
https://scholarworks.lib.csusb.edu/etd-project/3832
